Title :
Non-contact head gesture maneuvering system for electric wheelchair using a depth sensor
Author :
Hirofumi Ohtsuka;Tatsuya Kato;Koki Shibasato;Takahiro Kashimoto
Author_Institution :
Department of Control and Information Systems Engineering, National Institute of Technology, Kumamoto College, 2659-2 Suya, Koshi, Japan
Abstract :
Population of elderly people has been increasing not only in Japan but also in many countries. For the purpose of expanding the active field of them and persons with disabilities, and of improving their quality of life (QOL), the development of an intelligent wheelchair has been intensively studied. In this research, a new maneuver interface of the electric wheelchair instead of the joy-stick is considered. To develop such an interface, this paper deals with a simple non-contact detection method of horizontal head gesture motion using a depth sensor.
Keywords :
"Face","Wheelchairs","Data mining","Sensors","Indexes","Cameras"
Conference_Titel :
Sensing Technology (ICST), 2015 9th International Conference on
Electronic_ISBN :
2156-8073
DOI :
10.1109/ICSensT.2015.7438372