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Paper Citation Record · LEDGER

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data

As of 8 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 0 inbound Pith citation observations for arXiv:2506.04577.

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pith.paper-citation-record.v1
2506.04577 v1

Coverage vector

measured 84 of 84 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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84 of 84 outbound references displayed

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External citation measurements

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Outbound references

Observation 179e1d68-5aca-4518-b1c0-45b362784f68 · outbound

This paper cites Estimation of muscle forces and joint moments using a forward-inverse dynamics model,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Estimation of muscle forces and joint moments using a forward-inverse dynamics model,

Reference 1

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This paper cites Dynamics of the ankle joint analyzed through moment-angle loops during human walking: Gender and age effects,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Dynamics of the ankle joint analyzed through moment-angle loops during human walking: Gender and age effects,

Reference 2

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This paper cites Estimation of forces and moments of lower limb joints from kinematics data and inertial properties of the body by using inverse dynamics technique,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Estimation of forces and moments of lower limb joints from kinematics data and inertial properties of the body by using inverse dynamics technique,

Reference 3

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A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Unresolved cited work

Reference 4

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This paper cites A predictive model of moment-angle characteristics in human skeletal muscle: Application and validation in muscles across the ankle joint,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data A predictive model of moment-angle characteristics in human skeletal muscle: Application and validation in muscles across the ankle joint,

Reference 5

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Observation 9637a795-9aea-4b74-abee-c6e76ae74822 · outbound

This paper cites Comparison of markerless and marker-based motion capture technologies through simultaneous data collection during gait: Proof of concept,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Comparison of markerless and marker-based motion capture technologies through simultaneous data collection during gait: Proof of concept,

Reference 6

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Observation 2b9cba54-90bc-489c-81eb-06bc55da0d68 · outbound

This paper cites Concurrent assessment of gait kinematics using marker-based and markerless motion capture,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Concurrent assessment of gait kinematics using marker-based and markerless motion capture,

Reference 7

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Observation 5aaa7efd-7a2b-430f-b5f0-863d6be69da8 · outbound

This paper cites Thalmann and M.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Thalmann and M

Reference 8

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This paper cites Skeleton- based motion capture for robust reconstruction of human motion,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Skeleton- based motion capture for robust reconstruction of human motion,

Reference 9

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Observation 4740efc3-3809-4389-bf2d-712145a7a7e7 · outbound

This paper cites Estimation of missing markers in human motion capture,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Estimation of missing markers in human motion capture,

Reference 10

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This paper cites Real-time estimation of missing markers in human motion capture-aristidou,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Real-time estimation of missing markers in human motion capture-aristidou,

Reference 11

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This paper cites Real-time marker prediction and cor estimation in optical motion capture,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Real-time marker prediction and cor estimation in optical motion capture,

Reference 12

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Observation 3c10dc39-c3a7-430b-a3fb-2e324cfebfae · outbound

This paper cites Neuromus- culoskeletal modeling: Estimation of muscle forces and joint moments and movements from measurements of neural command,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Neuromus- culoskeletal modeling: Estimation of muscle forces and joint moments and movements from measurements of neural command,

Reference 13

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Observation 4e592cb7-4957-4561-b220-322ad28914bb · outbound

This paper cites Toward a human-like biped robot gait: Biomechanical analysis of human locomotion recorded by kinect-based motion capture system,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Toward a human-like biped robot gait: Biomechanical analysis of human locomotion recorded by kinect-based motion capture system,

Reference 14

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Observation 613abee7-906e-4970-a0ad-4365586bcbb8 · outbound

This paper cites A data process of human knee joint kinematics obtained by motion-capture measurement,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data A data process of human knee joint kinematics obtained by motion-capture measurement,

Reference 15

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Observation cd3ce858-fadb-4390-b60d-34bb8677e9cc · outbound

This paper cites Real-time gait assessment utilizing a new way of accelerometry.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Real-time gait assessment utilizing a new way of accelerometry

Reference 16

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Observation e655497b-7672-4a49-a828-b74a15f11d00 · outbound

This paper cites Estimation of gait cycle char- acteristics by trunk accelerometry,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Estimation of gait cycle char- acteristics by trunk accelerometry,

Reference 17

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Observation 1fd8c88a-9c92-4a74-b837-95f93549175c · outbound

This paper cites Automated estimation of initial and terminal contact timing using accelerometers; development and validation in transtibial amputees and controls,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Automated estimation of initial and terminal contact timing using accelerometers; development and validation in transtibial amputees and controls,

Reference 18

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Observation 48252e46-4ae4-4dab-a37c-257f0caee43e · outbound

This paper cites 25 years of lower limb joint kinematics by using inertial and magnetic sensors: A review of methodological approaches,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data 25 years of lower limb joint kinematics by using inertial and magnetic sensors: A review of methodological approaches,

Reference 19

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Observation bdc48e9b-196c-4075-95f0-11526e44bb52 · outbound

This paper cites Regression techniques for the prediction of lower limb kinematics,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Regression techniques for the prediction of lower limb kinematics,

Reference 20

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Observation 610c6f47-ca78-45ea-9535-c31adebd8cf4 · outbound

This paper cites Predicting lower limb joint kinematics using wearable motion sensors,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Predicting lower limb joint kinematics using wearable motion sensors,

Reference 21

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Observation d328a90c-5f14-4c49-886f-0f84399a82bb · outbound

This paper cites Prediction of lower limb kinetics and kinematics during walking by a single imu on the lower back using machine learning,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Prediction of lower limb kinetics and kinematics during walking by a single imu on the lower back using machine learning,

Reference 22

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Observation ba281b5c-614e-49ba-b820-212d6da0bb6e · outbound

This paper cites Inertial sensor-based lower limb joint kinematics: A methodological systematic review,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Inertial sensor-based lower limb joint kinematics: A methodological systematic review,

Reference 23

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Observation 7a0b1cea-a3b5-48ed-b67d-2a98478441a5 · outbound

This paper cites Optimization of imu sensor placement for the measurement of lower limb joint kinematics,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Optimization of imu sensor placement for the measurement of lower limb joint kinematics,

Reference 24

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Observation 22b3aaa0-37e0-4efe-b612-f40a2d66eaf3 · outbound

This paper cites Using imu-based kinematic markers to monitor dual-task gait balance control recovery in acutely concussed individuals,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Using imu-based kinematic markers to monitor dual-task gait balance control recovery in acutely concussed individuals,

Reference 25

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Observation 82607569-2e5e-45f6-a823-0a0f804c1ac2 · outbound

This paper cites Wearable imu-based system for real- time monitoring of lower-limb joints,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Wearable imu-based system for real- time monitoring of lower-limb joints,

Reference 26

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Observation 017e6a62-b202-44fe-9b89-e942a737f2ea · outbound

This paper cites Body-worn imu-based human hip and knee kinematics estimation during treadmill walking,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Body-worn imu-based human hip and knee kinematics estimation during treadmill walking,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d2f6e7f4-5a20-4fe5-95fa-35e327f08ff0 · outbound

This paper cites Three- dimensional lower-limb kinematics from accelerometers and gyroscopes with simple and minimal functional calibration tasks: Validation on asymptomatic participants,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Three- dimensional lower-limb kinematics from accelerometers and gyroscopes with simple and minimal functional calibration tasks: Validation on asymptomatic participants,

Reference 28

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Source-reported events for the cited work

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Observation 3911dea2-7115-4a42-83e9-efb5dcabcbcf · outbound

This paper cites A novel method to estimate the full knee joint kinematics using low cost imu sensors for easy to implement low cost diagnostics,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data A novel method to estimate the full knee joint kinematics using low cost imu sensors for easy to implement low cost diagnostics,

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation aeaab33f-6a4d-4c1f-bda3-9733d39c0ae7 · outbound

This paper cites An imus-based extended kalman filter to estimate gait lower limb sagittal kinematics for the control of wearable robotic devices,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data An imus-based extended kalman filter to estimate gait lower limb sagittal kinematics for the control of wearable robotic devices,

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3e88e8da-2bc2-472d-a8a4-ab0652209162 · outbound

This paper cites Estimating lower limb kinematics using a reduced wearable sensor count,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Estimating lower limb kinematics using a reduced wearable sensor count,

Reference 31

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:01.937276Z digest=sha256:60360cd7351191de6c4dda84183b391ed0ba622cd08cec503184fb02510deb57

Observation f37eb661-21b8-4907-89c8-88203ed40355 · outbound

This paper cites Evaluation of error-state kalman filter method for estimating human lower-limb kinematics during various walking gaits,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Evaluation of error-state kalman filter method for estimating human lower-limb kinematics during various walking gaits,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.288255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:01.942397Z digest=sha256:dc8bbb21f9a53ae634243621ba6e5e42c9378ea1ec328533ca94592e78608089

Observation c28541a1-0520-433a-9e4e-d4e8ee2b2295 · outbound

This paper cites Estimation of three-dimensional lower limb kinetics data during walking using machine learning from a single imu attached to the sacrum,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Estimation of three-dimensional lower limb kinetics data during walking using machine learning from a single imu attached to the sacrum,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.271171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:01.947464Z digest=sha256:5ef475a67be31ae20ffffeb29a7170929114b052aa0b05584841c2c3acbb146d

Observation 8edbf225-0764-47be-9107-a2601e756d2b · outbound

This paper cites Inertial motion capture-based wearable systems for estimation of joint kinetics: A systematic review,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Inertial motion capture-based wearable systems for estimation of joint kinetics: A systematic review,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.254088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:01.952508Z digest=sha256:f68672dc979bb7112935bd251e7aa9d6128e070e09a3c06a027b84d703f1a682

Observation dc1cec55-e5a4-48e9-adbd-ce0854d3c76a · outbound

This paper cites Estimation of kinetics using imus to monitor and aid in clinical decision-making during acl rehabilitation: A systematic review,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Estimation of kinetics using imus to monitor and aid in clinical decision-making during acl rehabilitation: A systematic review,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.232670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:01.959254Z digest=sha256:644a78430a340ff12eec9133d4e04e20450719f6589c5d65e022db66bac9657b

Observation 0844549a-a6f5-47c7-b2cb-bf2bc35105f3 · outbound

This paper cites Estimation of gait kinematics and kinetics from inertial sensor data using optimal control of musculoskeletal models,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Estimation of gait kinematics and kinetics from inertial sensor data using optimal control of musculoskeletal models,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.214566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:01.965159Z digest=sha256:0597b85b1c3b3e45b09b26e576f6e5526dd850909565a67c86d16fe7602dda36

Observation 71b83869-1828-4e9f-adca-a929c5c4f767 · outbound

This paper cites Prediction of lower limb joint angles and moments during gait using artificial neural networks,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Prediction of lower limb joint angles and moments during gait using artificial neural networks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.197687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:01.973336Z digest=sha256:8add9fff26ed28e51f8814fdb1ee73240ed51f49bef7fef794dddfd48dad5500

Observation 2420b0ed-3f01-4042-aa00-d931000b2edb · outbound

This paper cites Estimation of gait mechanics based on simulated and measured imu data using an artificial neural network,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Estimation of gait mechanics based on simulated and measured imu data using an artificial neural network,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.180252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:01.979234Z digest=sha256:a2614157d44a454f68daafdaadc9334748d207852981b8dadcdda76080dd0f76

Observation ad0111cc-4a03-46a5-a8da-9227b745e423 · outbound

This paper cites Real-time musculoskeletal kinematics and dynamics analysis using marker-and imu-based solutions in rehabilitation,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Real-time musculoskeletal kinematics and dynamics analysis using marker-and imu-based solutions in rehabilitation,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.161550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:01.984510Z digest=sha256:80374457317401d072582e174616c20b0fab5cabd84517599eb46e85594b1207

Observation 4e94b26a-b372-4e95-a019-91fe7e948829 · outbound

This paper cites Smart healthcare-oriented online prediction of lower-limb kinematics and kinetics based on data-driven neural signal decoding,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Smart healthcare-oriented online prediction of lower-limb kinematics and kinetics based on data-driven neural signal decoding,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.144691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:01.990530Z digest=sha256:3fced1b13d3c319cb2d2eb8651129187484820c63acdf5be8368e6e955037b9d

Observation 02543f33-5789-4175-9c07-93142b9d660b · outbound

This paper cites A comparison of machine learning models’ accuracy in predicting lower-limb joints’ kinematics, kinetics, and muscle forces from wearable sensors,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data A comparison of machine learning models’ accuracy in predicting lower-limb joints’ kinematics, kinetics, and muscle forces from wearable sensors,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.127617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:01.997688Z digest=sha256:911f246516f0d59f94993c6209923ba2f791226ec0fb4618b143ad2387278054

Observation cd35e7db-653e-4af3-b171-11e13697f71d · outbound

This paper cites High-density emg, imu, kinetic, and kinematic open-source data for comprehensive locomotion activities,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data High-density emg, imu, kinetic, and kinematic open-source data for comprehensive locomotion activities,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.108904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.003726Z digest=sha256:66dc811595e43f5072ac9b8e2e78b5501b46b73c8f0483bf49ec9799e6a433d1

Observation 73039fce-9cfc-47dd-9eb2-81ab8967d243 · outbound

This paper cites Human lower extremity joint moment prediction: A wavelet neural network approach,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Human lower extremity joint moment prediction: A wavelet neural network approach,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.091833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.009136Z digest=sha256:5e2f7d59c77c6515e5264cf52371f1a3b4dca94dbaa3b19ee24fa94717e0ada6

Observation b40d40ef-8a03-40d4-a3bf-c6e51f622bc9 · outbound

This paper cites Prediction of lower-limb joint kinematics from surface emg during overground locomotion,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Prediction of lower-limb joint kinematics from surface emg during overground locomotion,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.074722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.014380Z digest=sha256:102c5e19e4c407fdc2fd46bc765c28b443726bb5ef7abe064c6ebbfa2dcc17ee

Observation af2d68b3-73bc-47a4-8a35-8a2aa0a27334 · outbound

This paper cites Surface emg based continuous estimation of human lower limb joint angles by using deep belief networks,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Surface emg based continuous estimation of human lower limb joint angles by using deep belief networks,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.057956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.019814Z digest=sha256:31225ddccc64e9f93f6ce596a0c9be0991332bd6b9bbb8f8fcff157d7928f8d7

Observation 33ae2e3a-ac1d-46d7-8249-f35099136bd3 · outbound

This paper cites A review on emg-based motor intention prediction of continuous human upper limb motion for human-robot collaboration,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data A review on emg-based motor intention prediction of continuous human upper limb motion for human-robot collaboration,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.040228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.024630Z digest=sha256:f4582ea24ab80b6dfb8d20db6f1d84c03dd07a9a2c784adfbb2663829d2f7ee8

Observation bc21a93c-9127-4a37-82af-d7b3a94b8d52 · outbound

This paper cites Intelligent prediction of human lower extremity joint moment: An artificial neural network approach,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Intelligent prediction of human lower extremity joint moment: An artificial neural network approach,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.022590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.029374Z digest=sha256:78a6cc44a33bfb0d8b3062b915a3eb7dfba53bf0a4fe7abc0df33184b42b27e4

Observation 60b2f040-8c1f-4c28-93d6-8c86a56da9d9 · outbound

This paper cites Real-time intended knee joint motion prediction by deep-recurrent neural networks,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Real-time intended knee joint motion prediction by deep-recurrent neural networks,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:03.003616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.034190Z digest=sha256:e03e2ccd7b98a676eb4e2ae1a126feaa3e24f7b9cec7a6a867703df4364db1e5

Observation 492a3435-8fe1-415b-adbb-5d0d75ac74d0 · outbound

This paper cites Gaussian process autoregression for joint angle prediction based on semg signals,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Gaussian process autoregression for joint angle prediction based on semg signals,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.984813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.038826Z digest=sha256:3b5247c19751aec8b555eabbeeccd582592af80711cab7560ec279ad6b9c763f

Observation 035b28a4-adc0-4894-98c0-de12e7217066 · outbound

This paper cites Continuous prediction of human joint mechanics using emg signals: A review of model-based and model- free approaches,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Continuous prediction of human joint mechanics using emg signals: A review of model-based and model- free approaches,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.965514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.043906Z digest=sha256:51d03f49f49aa168921c5e4aa25827d28148a4ac50d3d554fa985c66658a6a7f

Observation ce666af5-98b1-46ba-b226-2dcf34a4e4ac · outbound

This paper cites Prediction of gait kinematics and kinetics: A systematic review of emg and eeg signal use and their contribution to prediction accuracy,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Prediction of gait kinematics and kinetics: A systematic review of emg and eeg signal use and their contribution to prediction accuracy,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.943574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.048554Z digest=sha256:e76e38e7fcf012d63516db64394d5f873f6ce737956bde7dc5a7a2b0bfabfec9

Observation c0ba647e-e8fb-432e-aecd-0785a411bb24 · outbound

This paper cites Predictions of knee and ankle moments of force in walking from emg and kinematic data,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Predictions of knee and ankle moments of force in walking from emg and kinematic data,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.926990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.053452Z digest=sha256:c849a9370492dbea85cfb2c85e1dc6e9d6b67bfd6168a8154be8d38b32db9e3b

Observation 87010588-c83d-40f8-af69-c6605703143f · outbound

This paper cites Feasibility of using emg driven neuromus- culoskeletal model for prediction of dynamic movement of the elbow,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Feasibility of using emg driven neuromus- culoskeletal model for prediction of dynamic movement of the elbow,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.911233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.176613Z digest=sha256:8f168e86978e3494217202183a342ab08ec3bc086a3cc4e6f44fcb4cfe4b13c5

Observation c9dcf982-b4f8-4e0d-a0fc-f79bc01cbbdb · outbound

This paper cites An emg-driven model to estimate muscle forces and joint moments in stroke patients,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data An emg-driven model to estimate muscle forces and joint moments in stroke patients,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.893386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.182648Z digest=sha256:05300a2d65ed30907946dbd3844eb13d897350796bd54ee4b7a39c32cc38fee9

Observation 94687caa-6e8a-427b-ba46-065a283b2f67 · outbound

This paper cites Predicting biological joint moment during multiple ambulation tasks,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Predicting biological joint moment during multiple ambulation tasks,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.876886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.187408Z digest=sha256:d853c1ab14a82548d514e767b741925246ae730761052aacc9abc7738fc69a76

Observation 20752908-411f-4b26-911d-0c134ad04948 · outbound

This paper cites Evaluating electromyography and sonomyo- graphy sensor fusion to estimate lower-limb kinematics using gaussian process regression,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Evaluating electromyography and sonomyo- graphy sensor fusion to estimate lower-limb kinematics using gaussian process regression,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.859170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.192912Z digest=sha256:c38306855dcb14a9a91264a4a9081179e0ba9c867b4bf0d2a2056244fccc6b45

Observation 9a93f557-28c8-4820-9d2c-e0347b9d52f0 · outbound

This paper cites Biological cybernetics estimation of dynamic joint torques and trajectory formation from surface electromyography signals using a neural network model,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Biological cybernetics estimation of dynamic joint torques and trajectory formation from surface electromyography signals using a neural network model,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.843018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.198299Z digest=sha256:67b02ec969321a530077eb173eb7dbb73114f68fc5de7dac60ade85e0ae0d9a4

Observation 06c8b3b2-dace-4ca6-9702-8e17bf092245 · outbound

This paper cites An emg-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data An emg-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.827407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.203066Z digest=sha256:35bab89a995ca099f771653d456698994fb033341af8402d9c079be2167d3d35

Observation fb2f45b7-20be-4562-b9c7-cd8ec8276378 · outbound

This paper cites Human joint motion estima- tion for electromyography (emg)-based dynamic motion control,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Human joint motion estima- tion for electromyography (emg)-based dynamic motion control,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.810531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.208227Z digest=sha256:cf062556d7caa0fcee43300ec3c48025fe0352c805ae3df1e8afcfe6ce28ef2a

Observation 60b6c677-5bad-4e97-bf23-3809e52e2f1c · outbound

This paper cites Tutorial. surface emg detection, condi- tioning and pre-processing: Best practices,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Tutorial. surface emg detection, condi- tioning and pre-processing: Best practices,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.794383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.213380Z digest=sha256:03fa0fcd8fe43b7416db9f2f14a5c942b273169bbfcd1f1d44d1f7dd0c6ccb85

Observation 9a66a7d9-3f24-45e9-a1da-db4bd3e499e6 · outbound

This paper cites Hip and trunk kinematics estimation in gait through kalman filter using imu data at the ankle,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Hip and trunk kinematics estimation in gait through kalman filter using imu data at the ankle,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.778033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.218257Z digest=sha256:c47cfebceca056e91b5dffbecb8b8332cd87b7a0cbf7c0cfaf2477d52a664311

Observation db093415-eb77-4778-b6d8-16b7bd96b1fe · outbound

This paper cites A high-fidelity wearable system for measuring lower-limb kinetics and kinematics,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data A high-fidelity wearable system for measuring lower-limb kinetics and kinematics,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.762187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 03631725-222e-4424-babd-3096328446d9 · outbound

This paper cites Validity of inertial sensor based 3d joint kinematics of static and dynamic sport and physiotherapy specific movements,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Validity of inertial sensor based 3d joint kinematics of static and dynamic sport and physiotherapy specific movements,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.746783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.227913Z digest=sha256:40117ab47c612a01960bc6c696969acdc8bf4d61516f443216fa0beeea9c8003

Observation 8ba85831-4d75-4f42-941d-e73942f95297 · outbound

This paper cites an unresolved cited work.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:43:02.731554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 67269fca-7fe8-404a-97c4-a0d9dfe3b883 · outbound

This paper cites Kinematic analysis of human gait in healthy young adults using imu sensors: Exploring relevant machine learning features for clinical applications,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Kinematic analysis of human gait in healthy young adults using imu sensors: Exploring relevant machine learning features for clinical applications,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.714585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.237397Z digest=sha256:3565bd00be26fa0da1f814f58fd63b691b3066a206e4cf866a543e7b2e775af9

Observation a108f137-f098-43e2-8172-e1f34dd36074 · outbound

This paper cites Estimation of lower extremity joint moments and 3d ground reaction forces using imu sensors in multiple walking conditions: A deep learning approach,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Estimation of lower extremity joint moments and 3d ground reaction forces using imu sensors in multiple walking conditions: A deep learning approach,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.698571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.242163Z digest=sha256:27bcdf34f2ff6ec4e134d4de609c22a648797d3029ac85777d09727df7dc9a63

Observation 745a1039-c355-4d89-8a29-0a1be1fe4ed1 · outbound

This paper cites The use of synthetic imu signals in the training of deep learning models significantly improves the accuracy of joint kinematic predictions,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data The use of synthetic imu signals in the training of deep learning models significantly improves the accuracy of joint kinematic predictions,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.682097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.246767Z digest=sha256:ec93fe668d280c219aface96dc01ac4c685f6c86d792b8413c36a2d20435abe9

Observation ca13a8ef-a1ed-4f80-9151-6a09bd961340 · outbound

This paper cites Lower body kinematics estimation from wearable sensors for walking and running: A deep learning approach,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Lower body kinematics estimation from wearable sensors for walking and running: A deep learning approach,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.664674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.251530Z digest=sha256:c38bd2592a4514a6292e8b0a924252a92b712fb72457df16b2deb43ea4346157

Observation d23318f3-6ac3-41c8-a4da-0723963386bc · outbound

This paper cites Imu- based estimation of lower limb motion trajectory with graph convolution network,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Imu- based estimation of lower limb motion trajectory with graph convolution network,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.647825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.256593Z digest=sha256:0fd25b9782f686cd6d29705033a2f013bb824ea7656bb8f7093d2a8860f999fa

Observation 35b127a8-b294-496e-96cd-27e818e16df6 · outbound

This paper cites Exploring the contribution of joint angles and semg signals on joint torque prediction accuracy using lstm-based deep learning techniques,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Exploring the contribution of joint angles and semg signals on joint torque prediction accuracy using lstm-based deep learning techniques,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.628143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.262695Z digest=sha256:245e619f8bdb89eb2d4a9798f23a828452a87c9f8b1415704b4b56d00c712804

Observation ce3ec405-0415-41b6-8688-c0ebab609fe7 · outbound

This paper cites Physics-informed deep learning for musculoskeletal modeling: Predicting muscle forces and joint kinematics from surface emg,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Physics-informed deep learning for musculoskeletal modeling: Predicting muscle forces and joint kinematics from surface emg,

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.611345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.268120Z digest=sha256:80368c43817fc31cdc09cedc19a81754568145f1a725cf4a6ccb3bde81b87103

Observation 3bbdbd4f-d593-49d4-9121-cbb9c511f828 · outbound

This paper cites Continuous online prediction of lower limb joints angles based on semg signals by deep learning approach,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Continuous online prediction of lower limb joints angles based on semg signals by deep learning approach,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.594690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.273237Z digest=sha256:56a620a2cb8970b87ebe7b5b71b66997db38ec4fe5d1a096d06d989a0a6a8720

Observation 417c0e2e-e9a6-4649-a15a-8b66d8b6d6aa · outbound

This paper cites A physics-informed low- shot learning for semg-based estimation of muscle force and joint kinematics,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data A physics-informed low- shot learning for semg-based estimation of muscle force and joint kinematics,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.575106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.278167Z digest=sha256:125f646fed5ad3afff75113d2a801c250e7221646adbe42a95181a6f8f8d397d

Observation c49c4a27-7cc1-430d-8217-704d066a33f8 · outbound

This paper cites Emg- based estimation of lower limb joint angles and moments using long short-term memory network,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Emg- based estimation of lower limb joint angles and moments using long short-term memory network,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.551651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.283487Z digest=sha256:c633d0ef83ba1147fdabb98c235308f83e883a0a34cf7ff31abd862f25a4d98f

Observation 55d918f6-aaa4-49d2-9e31-daadcd61c518 · outbound

This paper cites A deep learn- ing strategy for emg-based joint position prediction in hip exoskeleton assistive robots,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data A deep learn- ing strategy for emg-based joint position prediction in hip exoskeleton assistive robots,

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T10:43:02.288405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:43:02.288405Z digest=sha256:44689b467e48590d2e63fa6913c972d1a672a3ebad64391ff8c82c3e101db366

Observation 276f0f45-c27b-4b9c-a60b-eb1c90a8f004 · outbound

This paper cites Using reinforcement learning to estimate human joint moments from electromyography or joint kine- matics: An alternative solution to musculoskeletal-based biomechanics,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Using reinforcement learning to estimate human joint moments from electromyography or joint kine- matics: An alternative solution to musculoskeletal-based biomechanics,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.518334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.293224Z digest=sha256:7a2189370ea0f3bf8d7c0e322c28bf88d7ac3fb202aa7a04d61f7214f9afd672

Observation ec5781ae-0a67-4551-9ce5-7bfd88d060a9 · outbound

This paper cites An- kle joint torque estimation using an emg-driven neuromusculoskeletal model and an artificial neural network model,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data An- kle joint torque estimation using an emg-driven neuromusculoskeletal model and an artificial neural network model,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.501565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.298555Z digest=sha256:cc7e3e7ca6f80973ef105383ac2caf582b9153f9c008dc52236455ab5e24a4d1

Observation 2aa3eb94-7b6d-482a-ab1f-109805267eef · outbound

This paper cites Dual transformer network for predicting joint angles and torques from multi-channel emg signals in the lower limbs,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Dual transformer network for predicting joint angles and torques from multi-channel emg signals in the lower limbs,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.484815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.303605Z digest=sha256:319c69372453ff7b93950cfc51323d841b164324d7474ce2fc8af20e0a00319b

Observation c84e2cab-a9b0-45a7-b961-89c4e5f7574e · outbound

This paper cites Attention is all you need,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Attention is all you need,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.468257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.308412Z digest=sha256:2652e02480e38699d5fc9fce141dc7363dca0b548d2e91e564cb505d3df134ca

Observation 094c5e0a-3d13-4332-a311-bc63d76da5d4 · outbound

This paper cites Neural machine translation by jointly learning to align and translate,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Neural machine translation by jointly learning to align and translate,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.449433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.313519Z digest=sha256:5dd4a30a27401db3c9b2ba4dfaf67e8c6f5507e15a471bb0cdff7f6057477fca

Observation 26f034ea-23f4-4753-b298-d0c888326f5e · outbound

This paper cites Effective approaches to attention-based neural machine translation,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Effective approaches to attention-based neural machine translation,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.432915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.318164Z digest=sha256:9e8bdeddcbe6d1329e8918a298d0cb0bba7fda86d78b74d41b8a4e81a8d3efd0

Observation 6a4be887-d2e5-42d4-a66d-c09cf7de9e8a · outbound

This paper cites A wearable real- time kinetic measurement sensor setup for human locomotion,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data A wearable real- time kinetic measurement sensor setup for human locomotion,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.415537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.322930Z digest=sha256:a1a06da67fe8629aef8d75783632c7ac61c2144b9593a2e5dd37caf252a7c7f2

Observation ecd6fb61-a968-4d6d-8060-b3b35cf3b3bb · outbound

This paper cites Deep residual learning for image recognition,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Deep residual learning for image recognition,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.396537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.327471Z digest=sha256:0f66632c6899c4e7e18078ea77fdb8eb57b194e41b0e84de95a251649cd8fc44

Observation 5cbd017b-60da-4845-9e17-a7ada1bada35 · outbound

This paper cites Tensorflow: A system for large- scale machine learning,.

A Novel Transformer-Based Method for Full Lower-Limb Joint Angles and Moments Prediction in Gait Using sEMG and IMU data Tensorflow: A system for large- scale machine learning,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:02.375861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T10:43:02.331835Z digest=sha256:4fed01d5874259a1c6526004ff16598178d0368778b7b505620a7d50b56d3186

Pith citing papers

No inbound Pith citation observations are available.