We present a forearm gesture dataset named "FEMG-VPF", comprising simultaneously recorded high-density sEMG, sparse multi-channel sEMG, and Euler angle signals of the forearm muscles. High-density sEM
Human-to-human communication via the computer is mainly done using a keyboard or microphone. In the field of Virtual Reality (VR), where the most immersive experience possible is desired, the use of a
The dataset contains the part data in our paper "Integrated block-wise neural network with auto-learning search framework for finger gesture recognition using sEMG signals". Please refer to our releas
