Title :
EKF for electric wheelchair localization
Author :
Malek, Njah ; Jallouli, M.
Author_Institution :
Eng. Sch. of Sfax (ENIS), Univ. of Sfax, Sfax, Tunisia
Abstract :
Electric wheelchairs for disabled are essential medical devices for many disabled. These devices are necessary to their mobility, social and professional life. The integrated automatic control system needs a best localization system, equipment and algorithm. We use data fusion techniques for localization by applying extended Kalman filter.
Keywords :
Kalman filters; biomedical equipment; handicapped aids; medical control systems; nonlinear filters; sensor fusion; wheelchairs; EKF; data fusion techniques; disabled person; electric wheelchair localization system; extended Kalman filter; integrated automatic control system; medical devices; medical equipment; professional life; social life; Wheelchairs; Wheels;
Conference_Titel :
Computer Applications & Research (WSCAR), 2014 World Symposium on
Conference_Location :
Sousse
Print_ISBN :
978-1-4799-2805-7
DOI :
10.1109/WSCAR.2014.6916819
