Wrist Archives - IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

September 17, 2020

LoCoMo-Net: A Low-Complex Deep Learning Framework for sEMG Based Hand Movement Recognition for Prosthetic Control

Author(s)3: Arvind Gautam, Madhuri Panwar, Archana Wankhede, Sridhar Arjunan, Ganesh Naik, Amit Charyya, Dinesh Kumar

LoCoMo-Net: A Low-Complex Deep Learning Framework for sEMG Based Hand Movement Recognition for Prosthetic Control https://www.embs.org/jtehm/wp-content/themes/movedo/images/empty/thumbnail.jpg 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM) IEEE Journal of Translational Engineering in Health and Medicine (JTEHM) //www.embs.org/jtehm/wp-content/uploads/sites/17/2022/06/ieee-jtehm-logo2x.png September 17, 2020 March 4, 2022

Background: The enhancement in the performance of the myoelectric pattern recognition techniques based on deep learning algorithm possess computationally expensive and exhibit extensive memory behavior. Therefore, in this paper we…

January 9, 2019

EMG Pattern Recognition Control of the DEKA Arm: Impact on User Ratings of Satisfaction and Usability

Author(s)3: Linda Resnik, Frantzy Acluche, Matt Borgia, Gail A. Latlief, Sam Phillips

EMG Pattern Recognition Control of the DEKA Arm: Impact on User Ratings of Satisfaction and Usability https://www.embs.org/jtehm/wp-content/uploads/sites/17/2019/01/EMG-Pattern-Recognition-Control-of-the-DEKA-Arm.jpg 780 435 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM) IEEE Journal of Translational Engineering in Health and Medicine (JTEHM) //www.embs.org/jtehm/wp-content/uploads/sites/17/2022/06/ieee-jtehm-logo2x.png January 9, 2019 March 4, 2022

Abstract The DEKA Arm has multiple degrees of freedom which historically have been operated primarily by inertial measurement units (IMUs). However, the IMUs are not appropriate for all potential…