Work

Gestural human-machine interaction for people with severe speech and motor impairment due to cerebral palsy

Year: 1994

Type: conference-paper

Abstract: The objective of the research is to develop a new method of human-machine interaction that reflects and harnesses the abilities of people with severe speech and motor impairment due to cerebral palsy (SSMICP).Human-human interaction within the framework of drama and mime was used to elicit 120 gestures from twelve students with SSMICP.27 dynamic arm gestures were monitored using biomechanical and bioelecrnc sensors.Neural networks are being used to analyze the data and to realize the gestuml human-machine interface.Preliminary results show that two visually similar gestures can be differentiated by neural networks.

Source: CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)

DOI: 10.1145/259963.260375

Authors: David M. Roy, Marilyn Panayi, Roman Erenshteyn, Richard Foulds, Robert Fawcus

Institution: City, University of London

Language: English

Topic: Assistive Technology in Communication and Mobility

Subfield: Occupational Therapy

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: Nemours Foundation, National Institute on Disability and Rehabilitation Research