A survey on different human-machine interactions used for controlling an electric wheelchair
| Autor: | Agnes Ghorbel, Mohamed Jallouli, Nader Ben Amor |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Facial expression
Wheelchair Computer science Human–computer interaction Interface (computing) 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences 020206 networking & telecommunications 020201 artificial intelligence & image processing Human–machine system 02 engineering and technology General Environmental Science |
| Zdroj: | KES |
| ISSN: | 1877-0509 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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