Paper Citation Record · LEDGER

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals

As of 13 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2411.16273.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.16273 v1

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measured 41 of 41 reference resolution

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Outbound references

Observation 5ca75719-f27f-4a19-95eb-311fe38cbbec · outbound

This paper cites an unresolved cited work.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Unresolved cited work

Reference 1

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Observation 23cfc197-5a74-4a49-b554-84fe83d96d1b · outbound

This paper cites Bloem, Johann Willeit, Christoph Scherfler, Arno Gasperi, Gregorio Rungger, Werner Poewe, and Klaus Seppi.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Bloem, Johann Willeit, Christoph Scherfler, Arno Gasperi, Gregorio Rungger, Werner Poewe, and Klaus Seppi

Reference 2

Resolution: verified exact; doi, observed 2026-08-12T13:22:51.951939Z

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Observation b148fc5a-8ac9-4316-be19-69ec2fffa9a8 · outbound

This paper cites Florence, Gwen Bergen, Adam Atherly, Elizabeth Burns, Judy Stevens, and Cynthia Drake.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Florence, Gwen Bergen, Adam Atherly, Elizabeth Burns, Judy Stevens, and Cynthia Drake

Reference 3

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This paper cites [Accessed 24-10-2024].

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals [Accessed 24-10-2024]

Reference 4

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Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Unresolved cited work

Reference 5

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Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Unresolved cited work

Reference 6

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Observation 0979133f-0226-4d02-904c-6ae94c23bf5a · outbound

This paper cites Wearable ankle robots in post-stroke rehabilitation of gait: A systematic review.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Wearable ankle robots in post-stroke rehabilitation of gait: A systematic review

Reference 7

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Observation 12d6d88c-356f-424b-ac52-228e728af47f · outbound

This paper cites Androwis, Brian M.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Androwis, Brian M

Reference 8

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Observation 93b1ad62-4212-45a4-bdb9-a9e267fe3664 · outbound

This paper cites Effectiveness of robotic exoskeletons for improving gait in children with cerebral palsy: A systematic review.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Effectiveness of robotic exoskeletons for improving gait in children with cerebral palsy: A systematic review

Reference 9

Resolution: verified exact; doi, observed 2026-08-12T13:22:51.888401Z

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Observation 98d3952e-ed56-4cfc-88ce-386a2659245d · outbound

This paper cites Cho, Kinam Kim, Shaojun Ma, and Jun Ueda.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Cho, Kinam Kim, Shaojun Ma, and Jun Ueda

Reference 10

Resolution: verified exact; doi, observed 2026-08-12T13:22:51.863444Z

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Observation b802344c-d35a-4f0d-a21a-cdfc0359075c · outbound

This paper cites Development and testing of a wearable passive lower-limb support exoskeleton to support industrial workers.Biocybernetics and Biomedical Engineering, 41(1):221–238, January 2021.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Development and testing of a wearable passive lower-limb support exoskeleton to support industrial workers.Biocybernetics and Biomedical Engineering, 41(1):221–238, January 2021

Reference 11

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Observation 78f7ac1e-6c28-418b-842d-b2ed01426470 · outbound

This paper cites Design and control of a wearable lower-body exoskeleton for squatting and walking assistance in manual handling works.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Design and control of a wearable lower-body exoskeleton for squatting and walking assistance in manual handling works

Reference 12

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This paper cites A semi-activeexoskeletonbasedonemgsreducesmusclefatiguewhensquatting.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals A semi-activeexoskeletonbasedonemgsreducesmusclefatiguewhensquatting

Reference 13

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This paper cites A hip active assisted exoskeleton that assists the semi-squat lifting.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals A hip active assisted exoskeleton that assists the semi-squat lifting

Reference 14

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Observation be193fe1-1285-4284-adaa-376efcc45110 · outbound

This paper cites Sensors and actuation technologies in exoskeletons: A review.Sensors, 22(3):884, January 2022.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Sensors and actuation technologies in exoskeletons: A review.Sensors, 22(3):884, January 2022

Reference 15

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Observation 740babe7-6d15-4e2a-9290-9d12381321d2 · outbound

This paper cites Grabowski.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Grabowski

Reference 16

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Observation d7924788-ccc5-41c0-a5d8-2a2617eebdc9 · outbound

This paper cites Kochenderfer, Scott L.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Kochenderfer, Scott L

Reference 17

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Observation 8ee7eacb-12e1-4292-bb0d-3a11f6b7b2ef · outbound

This paper cites A wearable exoskeleton suit for motion assistance to paralysed patients.Journal of Orthopaedic Translation, 11:7–18, October 2017.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals A wearable exoskeleton suit for motion assistance to paralysed patients.Journal of Orthopaedic Translation, 11:7–18, October 2017

Reference 18

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Observation 377dc1ed-89a7-4aca-9f5a-73048b3b2634 · outbound

This paper cites Virk, Shuo Gao, and Luigi G.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Virk, Shuo Gao, and Luigi G

Reference 19

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Observation adaed19e-9c23-4dfe-ac9f-9c9148e44fe7 · outbound

This paper cites Sensors and algorithms for locomotion intention detection of lower limb exoskeletons.Medical Engineering & Physics, 113:103960, March 2023.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Sensors and algorithms for locomotion intention detection of lower limb exoskeletons.Medical Engineering & Physics, 113:103960, March 2023

Reference 20

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Observation 1e8acb70-02e5-43b2-aab1-bb202b717f4e · outbound

This paper cites A compre- hensive survey on support vector machine classification: Applications, challenges and trends.Neuro- computing, 408:189–215, September 2020.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals A compre- hensive survey on support vector machine classification: Applications, challenges and trends.Neuro- computing, 408:189–215, September 2020

Reference 21

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Observation 499f13fb-c281-4edb-a7c5-ebc1fc42e8e3 · outbound

This paper cites A cnn-lstm model for six human ankle movements classification on different loads.Frontiers in Human Neuroscience, 17, March 2023.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals A cnn-lstm model for six human ankle movements classification on different loads.Frontiers in Human Neuroscience, 17, March 2023

Reference 22

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Observation 151baf40-f5d1-4d21-a631-ead9a80ed1e6 · outbound

This paper cites A cnn-lstm hybrid model for ankle joint motion recognition method based on semg.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals A cnn-lstm hybrid model for ankle joint motion recognition method based on semg

Reference 23

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This paper cites Soft wearable flexible bioelectronics integrated with an ankle-foot exoskeleton for estimation of metabolic costs and physical effort.npj Flexible Electronics, 7(1), January 2023.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Soft wearable flexible bioelectronics integrated with an ankle-foot exoskeleton for estimation of metabolic costs and physical effort.npj Flexible Electronics, 7(1), January 2023

Reference 24

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This paper cites Occhipinti.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Occhipinti

Reference 25

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This paper cites Lichtwark, Anthony G.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Lichtwark, Anthony G

Reference 26

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Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Unresolved cited work

Reference 27

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This paper cites Recognition of lower limb movements baesd on electromyogra- phy (emg) texture maps.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Recognition of lower limb movements baesd on electromyogra- phy (emg) texture maps

Reference 28

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This paper cites Model-based analysis of muscle strength and emg-force relation with respect to different patterns of motor unit loss.Neural Plasticity, 2021:1–9, June 2021.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Model-based analysis of muscle strength and emg-force relation with respect to different patterns of motor unit loss.Neural Plasticity, 2021:1–9, June 2021

Reference 29

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Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Unresolved cited work

Reference 30

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This paper cites semg-based lower limb motion prediction using cnn-lstm with improved pca optimization algorithm.Journal of Bionic En- gineering, 20(2):612–627, October 2022.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals semg-based lower limb motion prediction using cnn-lstm with improved pca optimization algorithm.Journal of Bionic En- gineering, 20(2):612–627, October 2022

Reference 31

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This paper cites EmotiBit.com — emotibit.com.https://www.emotibit.com/.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals EmotiBit.com — emotibit.com.https://www.emotibit.com/

Reference 32

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This paper cites https://github.com/EmotiBit/ofxEmotiBit/rele ases.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals https://github.com/EmotiBit/ofxEmotiBit/rele ases

Reference 33

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This paper cites [Accessed 24-10-2024].

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals [Accessed 24-10-2024]

Reference 34

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Observation 495ecc51-c89d-4ab0-9d5f-0d1a705871c0 · outbound

This paper cites Arjunan, and Dinesh K.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Arjunan, and Dinesh K

Reference 35

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Observation 9c4ffe9f-d3a0-44c9-9b6c-560bb39ff4e9 · outbound

This paper cites De Luca, L.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals De Luca, L

Reference 36

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This paper cites [Accessed 24-10-2024].

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals [Accessed 24-10-2024]

Reference 37

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This paper cites Hicks, Inga Strümke, Vajira Thambawita, Malek Hammou, Michael A.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals Hicks, Inga Strümke, Vajira Thambawita, Malek Hammou, Michael A

Reference 38

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Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals URL http://dx.doi.org/10.1016/j.msard.2021.102936

Reference 348

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This paper cites doi: 10.1186/s12984-020-00719-w.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals doi: 10.1186/s12984-020-00719-w

Reference 2020

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This paper cites URL http://dx.doi.org/10.1016/j.medengphy.202 3.103960.

Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals URL http://dx.doi.org/10.1016/j.medengphy.202 3.103960

Reference 4533

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Pith citing papers

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