Advanced Processing of sEMG Signals for User Independent Gesture Recognition

A. Doswald; Francesco Carrino; Fabien Ringeval

doi:10.1007/978-3-319-00846-2_188

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Advanced Processing of sEMG Signals for User Independent Gesture Recognition

A. Doswald Francesco Carrino Fabien Ringeval

Year: 2013 World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany Pages: 758-761 Publisher: Springer Nature

DOI: 10.1007/978-3-319-00846-2_188

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Keywords:

Gesture Computer science Feature selection Particle swarm optimization Feature vector Support vector machine Gesture recognition Pattern recognition (psychology) Artificial intelligence Feature (linguistics) Set (abstract data type) Kernel (algebra) Speech recognition Machine learning Mathematics

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Muscle activation and electromyography studies

Physical Sciences → Engineering → Biomedical Engineering

EEG and Brain-Computer Interfaces

Life Sciences → Neuroscience → Cognitive Neuroscience

Hand Gesture Recognition Systems

Physical Sciences → Computer Science → Human-Computer Interaction

Advanced Processing of sEMG Signals for User Independent Gesture Recognition

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