A deep Kalman filter network for hand kinematics estimation using sEMG

[1]  E. Keefer,et al.  Human motor decoding from neural signals: a review , 2019, BMC biomedical engineering.

[2]  Olivier Gibaru,et al.  EMG-based online classification of gestures with recurrent neural networks , 2019, Pattern Recognit. Lett..

[3]  M. A. C. García,et al.  Surface electromyography: Why, when and how to use it , 2011 .

[4]  Manfredo Atzori,et al.  Deep learning with convolutional neural networks: a resource for the control of robotic prosthetic hands via electromyography , 2016 .

[5]  David J. Warren,et al.  Recording and Decoding for Neural Prostheses , 2016, Proceedings of the IEEE.

[6]  Kianoush Nazarpour,et al.  Effect of User Practice on Prosthetic Finger Control With an Intuitive Myoelectric Decoder , 2019, Front. Neurosci..

[7]  Mikhail Kuznetsov,et al.  Filtering the surface EMG signal: Movement artifact and baseline noise contamination. , 2010, Journal of biomechanics.

[8]  Ye Wang,et al.  Translating sEMG signals to continuous hand poses using recurrent neural networks , 2018, 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

[9]  Ying Sun,et al.  Surface EMG hand gesture recognition system based on PCA and GRNN , 2019, Neural Computing and Applications.

[10]  Manjunatha Mahadevappa,et al.  Estimation of continuous and constraint-free 3 DoF wrist movements from surface electromyogram signal using kernel recursive least square tracker , 2018, Biomed. Signal Process. Control..

[11]  Li Sun,et al.  Learning Kalman Network: A deep monocular visual odometry for on-road driving , 2019, Robotics Auton. Syst..

[12]  Yue Hu,et al.  Second-Order Synchroextracting Transform With Application to Fault Diagnosis , 2021, IEEE Transactions on Instrumentation and Measurement.

[13]  Elizaveta V Okorokova,et al.  A dynamical model improves reconstruction of handwriting from multichannel electromyographic recordings , 2015, Front. Neurosci..

[14]  Cheng Long,et al.  Interaction-aware Kalman Neural Networks for Trajectory Prediction , 2019, 2020 IEEE Intelligent Vehicles Symposium (IV).

[15]  Ahmed W. Shehata,et al.  Evaluating Internal Model Strength and Performance of Myoelectric Prosthesis Control Strategies , 2017, bioRxiv.

[16]  S Micera,et al.  Control of Hand Prostheses Using Peripheral Information , 2010, IEEE Reviews in Biomedical Engineering.

[17]  Ali Samadani,et al.  Gated Recurrent Neural Networks for EMG-Based Hand Gesture Classification. A Comparative Study , 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[18]  Mohan S. Kankanhalli,et al.  A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface , 2017, Pattern Recognit. Lett..

[19]  Dapeng Yang,et al.  Decoding Simultaneous Multi-DOF Wrist Movements From Raw EMG Signals Using a Convolutional Neural Network , 2019, IEEE Transactions on Human-Machine Systems.

[20]  Yupeng Ren,et al.  EMG-Based Real-Time Linear-Nonlinear Cascade Regression Decoding of Shoulder, Elbow, and Wrist Movements in Able-Bodied Persons and Stroke Survivors , 2020, IEEE Transactions on Biomedical Engineering.

[21]  Nassir Navab,et al.  Long Short-Term Memory Kalman Filters: Recurrent Neural Estimators for Pose Regularization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).