TY - GEN
T1 - Automated navigation system for eye-based wheelchair controls
AU - Puanhvuan, Dilok
AU - Khemmachotikun, Sarawin
AU - Wechakam, Pongsakom
AU - Wijam, Boonyanuch
AU - Wongsawat, Yodchanan
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/1/20
Y1 - 2014/1/20
N2 - An electric wheelchair is basically acknowledged for mobility improvement in disability patients. In some cases, their hand could not well function. They may tire easy before reaching to the desired destination. Furthermore, the safety is the most concerned issue for wheelchair control in disability patients. Therefore, this work tries to develop the prototype of the automated navigation system that could safely navigate and facilitate comfortable to the disability patients. In the proposed work, the patients could simply control the wheelchair directions (manual control mode) or select just the destination (automatic navigation mode) by using eye-based wheelchair control. The results revealed that 100% accuracy could be achieved in the trained normal subject with approximately 5 seconds of eye calibration time. The user could enter or exit the system by eye closing protocol. The wheelchair could be accurately navigated on the pre-located mapping. In addition, the obstacles could be detected and safely avoided by the developed automated navigation system.
AB - An electric wheelchair is basically acknowledged for mobility improvement in disability patients. In some cases, their hand could not well function. They may tire easy before reaching to the desired destination. Furthermore, the safety is the most concerned issue for wheelchair control in disability patients. Therefore, this work tries to develop the prototype of the automated navigation system that could safely navigate and facilitate comfortable to the disability patients. In the proposed work, the patients could simply control the wheelchair directions (manual control mode) or select just the destination (automatic navigation mode) by using eye-based wheelchair control. The results revealed that 100% accuracy could be achieved in the trained normal subject with approximately 5 seconds of eye calibration time. The user could enter or exit the system by eye closing protocol. The wheelchair could be accurately navigated on the pre-located mapping. In addition, the obstacles could be detected and safely avoided by the developed automated navigation system.
KW - Wheelchair navigation
KW - disability patient
KW - eye control
KW - image processing
UR - http://www.scopus.com/inward/record.url?scp=84923023765&partnerID=8YFLogxK
U2 - 10.1109/BMEiCON.2014.7017444
DO - 10.1109/BMEiCON.2014.7017444
M3 - Conference contribution
AN - SCOPUS:84923023765
T3 - BMEiCON 2014 - 7th Biomedical Engineering International Conference
BT - BMEiCON 2014 - 7th Biomedical Engineering International Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th Biomedical Engineering International Conference, BMEiCON 2014
Y2 - 26 November 2014 through 28 November 2014
ER -