A deep Kalman filter network for hand kinematics estimation using sEMG
暂无分享,去创建一个
Syed Ali Raza Zaidi | Tianzhe Bao | Shengquan Xie | Yihui Zhao | Zhiqiang Zhang | Pengfei Yang | Pengfei Yang | Shengquan Xie | Yihui Zhao | Tianzhe Bao | Zhiqiang Zhang
[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).