DocumentCode :
1795773
Title :
Development of an Autonomous BCI Wheelchair
Author :
Ng, Danny Wee-Kiat ; Ying-Wei Soh ; Sing-Yau Goh
Author_Institution :
Dept. of Mechatron. & Biomed. Eng., Univ. Tunku Abdul Rahman, Kuala Lumpur, Malaysia
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
1
Lastpage :
4
Abstract :
Restoration of mobility for the movement impaired is one of the important goals for numerous Brain Computer Interface (BCI) systems. In this study, subjects used a steady state visual evoked potential (SSVEP) based BCI to select a desired destination. The selected destination was communicated to the wheelchair navigation system that controlled the wheelchair autonomously avoiding obstacles on the way to the destination. By transferring the responsibility of controlling the wheel chair from the subject to the navigation software, the number of BCI decisions needed to be completed by the subject to move to the desired destination is greatly reduced.
Keywords :
brain-computer interfaces; collision avoidance; electric vehicles; handicapped aids; medical signal processing; visual evoked potentials; BCI decision; SSVEP based BCI; autonomous BCI wheelchair; brain-computer interface; obstacle avoidance; steady state visual evoked potential; wheelchair navigation system; Brain-computer interfaces; Electroencephalography; Navigation; Sensors; Software; Visualization; Wheelchairs; Brain Computer Interface; Steady State Visual Evoke Potential; Wheelchair Navigation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Brain Computer Interfaces (CIBCI), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
Type :
conf
DOI :
10.1109/CIBCI.2014.7007784
Filename :
7007784
Link To Document :
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