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A practical method for motor imagery based real-time prosthesis control
Li YN(李耀楠); Zhang XD(张小栋); Huang, Zhao-Xiang
Department机器人学研究室
Conference Name2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012
Conference DateAugust 20-24, 2012
Conference PlaceSeoul, Korea, Republic of
Source Publication2012 IEEE International Conference on Automation Science and Engineering: Green Automation Toward a Sustainable Society, CASE 2012
PublisherIEEE Computer Society
Publication PlaceWashington, DC, USA
2012
Pages1052-1056
Indexed ByEI
EI Accession number20130415934280
Contribution Rank3
ISSN2161-8070
ISBN978-1-4673-0428-3
KeywordSustainable Development
AbstractA potential application of BCI is the way of prosthesis control, while the traditional ways are not appropriate for those who got the high SCI (Spinal Cord Injury). In this paper, considering the practicality of BCI based prosthesis control, especially the avoidance of appended devices, the spontaneous EEG of motor imagery was used as the control signals. The motor imagery is limited in pattern variety, so in our work a careful control strategy was designed for controlling prosthesis with elbow, wrist, and hand joint. Three motor imageries including left/right hand, and feet were used in this system. One was used for switching the current controlling joint and the others were for the forward and reverse of the joints rotation. By this method, the real-time controlling of the three joints prosthesis was achieved. This paper described the auditory paradigm of motor imagery for prosthesis control at first and the relevant coefficient was used for signal analysis and recognition. Then the strategy of controlling 3 joints prosthesis was designed and finally the experiments were carried out to evaluate the ability of prosthesis controlling. © 2012 IEEE.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/10422
Collection机器人学研究室
Affiliation1.Suzhou Academy, Xi'An Jiaotong University, Soochow, Jiangsu Province 215123, China
2.School of Mechanical Engineering, Xi'An Jiaotong University, Shaanxi Province 710049, China
3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Liaoning Province 110016, China
Recommended Citation
GB/T 7714
Li YN,Zhang XD,Huang, Zhao-Xiang. A practical method for motor imagery based real-time prosthesis control[C]. Washington, DC, USA:IEEE Computer Society,2012:1052-1056.
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