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HYDRA-HGR: A Hybrid Transformer-based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information. (arXiv:2211.02619v1 [eess.SP])
cs.CV updates on arXiv.org arxiv.org
Development of advance surface Electromyogram (sEMG)-based Human-Machine
Interface (HMI) systems is of paramount importance to pave the way towards
emergence of futuristic Cyber-Physical-Human (CPH) worlds. In this context, the
main focus of recent literature was on development of different Deep Neural
Network (DNN)-based architectures that perform Hand Gesture Recognition (HGR)
at a macroscopic level (i.e., directly from sEMG signals). At the same time,
advancements in acquisition of High-Density sEMG signals (HD-sEMG) have
resulted in a surge of significant interest on …
architecture arxiv fusion hybrid hydra information transformer