This repository containes the source code for the real-time hand gesture recognition algorithm based on Temporal Muscle Activation (TMA) maps of multi-channel surface electromyography (sEMG) signals, ...

Abstract: Gesture recognition is a way for computers and other electronics to read and understand the movement of various body portions as commands. Using neural networks and hardware control to ...

Muscular activation sequences have been shown to be suitable time-domain features for classification of motion gestures. However, their clinical application in myoelectric prosthesis control was never ...

College of Mathematics and Physics, Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power, Shanghai University of Electric Power, Shanghai 200090, China Beijing Key ...

In order to facilitate the research of multi-modal sensor fusion for human action recognition, this paper provides a multi-modal human action dataset using Kinect depth camera and multile wearable ...

In a gesture recognition system based on surface electromyogram (sEMG) signals, the recognition model established by existing users cannot directly generalize to the across-user scenarios due to the ...

The utilization of electricity-powered light sources as external stimuli is limited by the cost and energy loss. Here we demonstrate that the human hand can be used as a natural IR light source ...

Abstract: In this paper, we study American sign language (ASL) hand gesture recognition using Doppler radar. A set of ASL hand gesture motions are captured as micro- Doppler signals using a microwave ...

AI has advanced the integration of technologies like real-time facial recognition and gesture control in gaming. AI functionalities enhance graphical realism and create adaptive gaming experiences ...

Both the putative mirror neuron system (pMNS) and the ventral medial prefrontal cortex (vmPFC) are deemed important for social interaction: the pMNS because it supposedly “resonates” with the actions ...