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A survey on different human-machine interactions used for controlling an electric wheelchair
Author(s) -
Agnès Ghorbel,
Nader Ben Amor,
Mohamed Jallouli
Publication year - 2019
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2019.09.194
Subject(s) - wheelchair , computer science , human–machine system , human–computer interaction , human–machine interface , health care , simulation , world wide web , economics , economic growth
Nowadays, enhanced mobility is a major challenge in the public healthcare sector, especially for the elderly and disabled persons living alone. Therefore, the demand for assistance systems as smart wheelchairs, especially for patients who are not able to walk normally because of some injury, has considerably increased within the healthcare industry. The power of modern computer systems has created new opportunities for human-machine interaction researchers to expand the capabilities of conventional wheelchairs by introducing specialized interfaces to enable the user to emit a command perceptible and understandable by a machine. In this paper, we present a survey on different human-machine interactions used for controlling an electric wheelchair and we demonstrate the effectiveness of our interface based on human facial expressions.

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