Title :
An embedded real-time hands free control of an electrical wheelchair
Author :
Ghorbel, Agnes ; Ben Amor, Nader ; Jallouli, Mohamed
Abstract :
The main aim of this work is to propose a HMI alternative for hands-free control of an electrical wheelchair using both face and eyes information. An image processing based technique for the guidance of an electrical wheelchair is used. As processing unit, we choose the Panda board ES development kit based on the TI OMAP 4 SoC (System on Chip). This board is connected with the wheelchair for processing of the video streaming. The wheelchair command technique is based on image segmentation and facial detection. The adopted model relied on combining 2ARMs processing in a single chip for improving real-time performance, enhancing system flexibility and reducing system cost and power. The preliminary results are promising since a total processing time of about 0.9s is obtained.
Keywords :
control engineering computing; electric vehicles; embedded systems; face recognition; handicapped aids; human computer interaction; image segmentation; system-on-chip; wheelchairs; 2ARMs processing; HMI; Panda board ES development kit; TI OMAP 4 SoC; electrical wheelchair; electrical wheelchair guidance; embedded real-time hands free control; eyes information; face information; facial detection; image processing based technique; image segmentation; power reduction; system cost reduction; system on chip; video streaming; wheelchair command technique; Computer architecture; Digital signal processing; Face; Program processors; Real-time systems; System-on-chip; Wheelchairs; ARM; Embedded System; Intelligent Wheelchair; Real time; facial detection;
Conference_Titel :
Visual Communications and Image Processing Conference, 2014 IEEE
DOI :
10.1109/VCIP.2014.7051544
