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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

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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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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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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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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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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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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raw_fallback, observed 2026-08-07T10:43:03.304817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:01.937276Z digest=sha256:1b29f7233575a893f8ec23aa6faf88145026359be10ae6aacb569f4409aae084

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:01.942397Z digest=sha256:8f26ef61b6715b033379c106451934de16e28d3a899087584d39df90b7d33b1d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:01.947464Z digest=sha256:05424234e49da75e2b9752fb26addf5229754f90e6e2e7e4b04881cb00bf4562

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:01.952508Z digest=sha256:55a001457e178a6329be5496423385ddd8cae07a077b1fe602978cf675c1fcba

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:01.959254Z digest=sha256:32c440e829fd59b7f59102251a2dfbcfe48da4dde83d3c6b3da6bdbf01720c9d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:01.965159Z digest=sha256:ab197fba1f5f068565909193a6fdd661b2af287bad84525dc2e52d5c47691c7e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:01.973336Z digest=sha256:0c4f6519e1d1df3c1c9e42efffdaf1b23e1f0b294fce68be5c3aabbaa9a3a034

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:01.979234Z digest=sha256:b8653f2ed4f335e394851f4e74d3b0f63fe9926aa0a52035696ec4280cb951ef

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:01.984510Z digest=sha256:986e861a8395bb41c32a0b09d2559043f5b2a3a73f361b411fa50b84f16a3ed1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:01.990530Z digest=sha256:3998750485b733b9d1fadc19d673df04dba3164b07ce77125d97639364a16256

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:01.997688Z digest=sha256:940aa23d75bd15915fa9dd1c38aab6a3b40cca0b3391dfdbd41b74e1a5cae042

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.003726Z digest=sha256:5d13c2c10dd7bf4f561196c3743983327e47f68f308e264ef9ebc56467455914

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.009136Z digest=sha256:89857bc22d2172b5dfed4bed73e954132217a635a4d658d73dc01ab0be07320b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.014380Z digest=sha256:c043ca174c2f70f2a7b83321900125449d6a2d3c0f3b3c6aac4d3355d85f16fe

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.019814Z digest=sha256:dfafbe34dde0040625ae21cbde60be3bbb68bd16a9b0e5347584a8c996b2ead6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.024630Z digest=sha256:d3ea78170658be1719fc2a0303d38bfac37755f911693455006271ca7c712939

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.029374Z digest=sha256:bc60fb9637e7ccec1633ca7f9331dd956f14789b9e2328d52c70c1ed2032d711

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.034190Z digest=sha256:84cafa0a253774cae12314ddfc00f8d3c38d0bc65e6c4a36a4152c641183b4af

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.038826Z digest=sha256:b71eeba01d4b16da6e19eb6007fae16caef88d689c86284301e7f12e1052515c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.043906Z digest=sha256:2d5a6a49a8d340d2da73503d6e300b968a6e8e54511755f40da19310d15f0a4a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.048554Z digest=sha256:9fa577acf020980911e721e1b3b6da184986556b06fad33682ac7686c44bd3a8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.053452Z digest=sha256:202e95ed61052dc2cdffba29d32e6b48b8ab7b38f506cfa7ecdedf883015dd2d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.176613Z digest=sha256:ad0e09844ff868f6d8033a92c901a4ba64afebe3c539f1ef2439ef0bd20fe319

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.182648Z digest=sha256:c746ec71fe807ae3c6dd1a9b3d90b57ddad410195417db962f5d0041ffe8fd15

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.187408Z digest=sha256:4859e8eca8c7efed6a11fb41b9e327772bdec4c8b210cc54b39e2d6e0ea20f12

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.192912Z digest=sha256:11d731e7e1829a047d7f24542936a0402b30cb1e314979e62a6193846c22c30c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.198299Z digest=sha256:2b3779b09ba7660d0c004d2e648687dc0200e0d306f615df1999922f5d3e4a4d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.203066Z digest=sha256:6251748df6795a4869d4af5579f3d439d2a6911497e00e19fc6a38deb7374540

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.208227Z digest=sha256:783d1d6a022f0cb48cbc8bcdf9ab19a83ea510154d67b609f8f86a2575561a47

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.213380Z digest=sha256:98486968c452d13bfaae1cc39175b60a49fa35fac385bc7570e8266fca21f87d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.218257Z digest=sha256:dc4707537d7233cb620303f62ffb9aa144a37722bc3b1cbd24812e7e84b849e9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.223051Z digest=sha256:6f23c7f0e47e6f99920843eaa6f5e3186704ed539242c6dd9339b6f93601457e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.227913Z digest=sha256:e04e0213212c9fd8b3b5ad8ce0ac02ffffb6ded24819f251dfd05cec4a28cc33

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.232624Z digest=sha256:42e9a4676a368a94dec0ce6eec2d41528ebe0645a5b2d51baa060e40e0a34b4f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.237397Z digest=sha256:258c95538f805a8b1d6e41eb7b1b6bebeed856019e7074ce23e759d0d4c006bf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.242163Z digest=sha256:ee3205cfb4d91fdc116803554d9f4d33364e9afbcc416b09cb13c3e84e28c659

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.246767Z digest=sha256:3ac942679924caddcff5e624e3fb10daab8e4d43b85bb36491a5188f0ddb0ce9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.251530Z digest=sha256:685560fea30516d1d245eb8c8c8481cfb6799144539e71b067cb2cc53428461c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.256593Z digest=sha256:5f4a999ef53e24864980e27a9482178fbbc5e873662b16aae10b931283f627c2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.262695Z digest=sha256:62262da66ccb15944d670247c92c2a9f1cebb68f5897b92633c9f3d2a03d33d7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.268120Z digest=sha256:5001361f95d38d7cec26586f1769fb460ded65e4d7f37e3be7d3e216b540ec79

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.273237Z digest=sha256:bf4af786bfad624f9d9d5df377609ceb3cc5ebfdce0df4554fd498a9debb8b7c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.278167Z digest=sha256:c26a86d5192680284d9ad98b702cd38882e29995cd4849a1b1b3ca184465ed9f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.283487Z digest=sha256:f78496bef27ca92c64318f2cf78833f0b386d1cfd91096fe74bd144370e3fcd9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.293224Z digest=sha256:6885deb4cfdc48b34282fe786b460ee4137c63419ec55aae3d127dd21a2093f4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.298555Z digest=sha256:780749297c8ef4ab16a2ccb66c4cf38b16310376ff7004e31cce6e42ee3af24c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.303605Z digest=sha256:cc84a45d60d1df3058e79e50d36439fcc02389783f45357113a10d7d5a5f63ee

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.308412Z digest=sha256:2cf0f051730a6d6d41f313b1c3f788888f9e303431abf035dd037eb9c75c4d54

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.313519Z digest=sha256:6a295922821884663222fa91ea6924cf5d803353589ba82197d74362dbb0d0cc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.318164Z digest=sha256:fe69bdac570274b5d2aad611fdb4e0351617e152dea157cf4d28eced9c7bf2cc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.322930Z digest=sha256:e3b26e09545a0640a3806027946695bdb1eb4fbf09fe87bf18573938563792c3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.327471Z digest=sha256:2fb32bcfa4a32476423ff116d1036095e77be32742e59043c714fd32903d5f03

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:02.331835Z digest=sha256:1ccffb3808a4ed94847765b55ddcffacc48e2b1249ab859bc038e86008aef051

Pith citing papers

No inbound Pith citation observations are available.