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Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees
(2017-10-11)
The success of myoelectric pattern recognition (M-PR) mostly relies on the features extracted and
classifier employed. This paper proposes and evaluates a fast classifier, extreme learning machine (ELM),
to classify ...
Evaluation of Feature Extraction Techniques and Classifiers for Finger Movement Recognition using Surface Electromyography Signal
(2019-02-12)
Electromyography (EMG) in a bio-driven system is used as a control signal, for driving a hand prosthesis or other wearable
assistive devices. Processing to get informative drive signals involves three main modules: ...