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Use of gesture recognition to control household devices for older people

Caroline Langensiepen (School of Science and Technology, Nottingham Trent University, UK)
Ahmad Lotfi (School of Science and Technology, Nottingham Trent University, UK)
Scott Higgins (School of Science and Technology, Nottingham Trent University, UK)

Journal of Assistive Technologies

ISSN: 1754-9450

Article publication date: 1 December 2010

181

Abstract

The world has an ageing population who want to stay at home, many of whom are unable to care for themselves without help. As the number of available carers is becoming saturated by demand, research is being carried out into how technology could assist elderly people in the home. A barrier preventing wide adoption is that this audience can find controlling assistive technology difficult, as they may be less dexterous and computer literate. This paper explores the use of gestures to control home automation, hoping to provide a more natural and intuitive interface to help bridge the gap between technology and older users. A prototype was created, and then trialled with a small panel of older users. Using the Nintendo Wii Remote (Wiimote) technology, gestures performed in the air were captured using an infrared camera. Computational intelligence techniques were then used to recognise and learn the gestures. This resulted in sending the command to standard home automation X10 units to control a number of attached electrical devices. It was found that although older people could readily use gestures to control devices, configuration of a home system might remain a task for carers or technicians.

Keywords

Citation

Langensiepen, C., Lotfi, A. and Higgins, S. (2010), "Use of gesture recognition to control household devices for older people", Journal of Assistive Technologies, Vol. 4 No. 4, pp. 4-10. https://doi.org/10.5042/jat.2010.0660

Publisher

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Emerald Group Publishing Limited

Copyright © 2010, Emerald Group Publishing Limited

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