Results 231 to 240 of about 39,692 (260)
Some of the next articles are maybe not open access.

sEMG-Based Lower Limb Motion Prediction Using CNN-LSTM with Improved PCA Optimization Algorithm

Journal of Bionic Engineering, 2022
Meng Zhu   +5 more
semanticscholar   +1 more source

Development of recommendations for SEMG sensors and sensor placement procedures.

Journal of Electromyography & Kinesiology, 2000
H. Hermens   +3 more
semanticscholar   +1 more source

Movements Classification Through sEMG With Convolutional Vision Transformer and Stacking Ensemble Learning

IEEE Sensors Journal, 2022
Shu Shen   +4 more
semanticscholar   +1 more source

Time-frequency Features for sEMG Signals Classification

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies, 2020
Karheily, S   +3 more
openaire   +1 more source

sEMG pattern recognition based on recurrent neural network

Biomedical Signal Processing and Control, 2021
Tarek M Bittibssi
exaly  

A Transformer-Based Gesture Prediction Model via sEMG Sensor for Human–Robot Interaction

IEEE Transactions on Instrumentation and Measurement
Yanhong Liu   +3 more
semanticscholar   +1 more source

sEMG based hand gesture recognition with deformable convolutional network

International Journal of Machine Learning and Cybernetics, 2022
Hao Wang   +3 more
semanticscholar   +1 more source

sEMG-Based Motion Recognition

2018
Qingsong Ai   +3 more
openaire   +1 more source

Unraveling Cemg-Semg Correlation Dynamics: Investigating Influential Factors

The electromyography (EMG) signal provides insight into neuromuscular activity which is used in medical and technological fields. Traditional needle electrodes and surface electrodes have several drawbacks making them less suitable for portable and long-term use.
Md. Hossain, Md. Islam, Md. Islam
openaire   +1 more source

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