DocumentCode
264291
Title
EKF for electric wheelchair localization
Author
Malek, Njah ; Jallouli, M.
Author_Institution
Eng. Sch. of Sfax (ENIS), Univ. of Sfax, Sfax, Tunisia
fYear
2014
fDate
18-20 Jan. 2014
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Applications & Research (WSCAR), 2014 World Symposium on
Conference_Location
Sousse
Print_ISBN
978-1-4799-2805-7
Type
conf
DOI
10.1109/WSCAR.2014.6916819
Filename
6916819
Link To Document