A VISUAL CONCEPT LANGUAGE FOR EMG SPELLER

Assistive technologies provide means for disabled or impaired people to extend their capabilities, communicate and control their environment using alternative and augmentative forms of interaction. Neural-computer interface (NCI) is a communication system that translates neural activity of human muscular system (electromyography (EMG) signals) into commands for a computer or other digital device. The paper discusses the development of the visual concept language for EMG speller (text entry application) based on the application of sound visual communication methodological principles. We present a description of language based on the Speller Visual Communication Language Ontology (SVCLO) developed on the analysis of basic requirements of impaired users living in a closed Ambient Assisted Living environment. Evaluation of the language is given.

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