A hybrid FPGA-based system for EEG-and EMG-based online movement prediction
A current trend in the development of assistive devices for rehabilitation, for example
exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality …
exoskeletons or active orthoses, is to utilize physiological data to enhance their functionality …
Enhanced performance for multi-forearm movement decoding using hybrid IMU–SEMG interface
Control of active prosthetic hands using surface electromyography (sEMG) signals is an
active research area; despite the advances in sEMG pattern recognition and classification …
active research area; despite the advances in sEMG pattern recognition and classification …
Hand movement recognition based on singular value decomposition of surface EMG signal
Surface electromyography (sEMG) signals represent electrical activity of muscle cells and
are extensively used for prosthetics development. In this paper, an effective technique is put …
are extensively used for prosthetics development. In this paper, an effective technique is put …
Machine learning techniques for gesture recognition
CA Caceres - 2014 - vtechworks.lib.vt.edu
Classification of human movement is a large field of interest to Human-Machine Interface
researchers. The reason for this lies in the large emphasis humans place on gestures while …
researchers. The reason for this lies in the large emphasis humans place on gestures while …
Cost-effective system for the classification of muscular intent using surface electromyography and artificial neural networks
A Khanna… - … International conference of …, 2017 - ieeexplore.ieee.org
This paper presents the implementation of a system to classify muscular intent. A neural
network is used for this purpose. After skin preparation, feature extraction, network training …
network is used for this purpose. After skin preparation, feature extraction, network training …