DocumentCode
3137459
Title
Design on exoskeleton robot intellisense system based on multi-dimensional information fusion
Author
Yuhuan Du ; Xiaodong Zhang ; Yang Wang ; Tong Mu
Author_Institution
Sch. of Engine & Energy, Northwestern Polytech. Univ., Xi´an, China
fYear
2012
fDate
5-8 Aug. 2012
Firstpage
2435
Lastpage
2439
Abstract
Soldiers have closer relationship with the exoskeleton robots, which offer the power to help walking and further enhance the capacity and speed of motion with heavy load or long-time motion. One of the core technologies of the exoskeleton robots is human motion sensing technology. In this paper, the IntelliSense technology of exoskeleton robot is deeply analyzed, including an optical fiber motion capture system to capture human motion gesture, the EEG measurement system to predict the direction of human motion, and the EMG perceptual system to identify the pattern of human motion. This design can improve the pattern recognition rate by combining the EEG and EMG; meanwhile, the human movement is followed precisely by combining the fiber motion capture system with the exoskeleton robot hydraulic driving device.
Keywords
electroencephalography; electromyography; humanoid robots; hydraulic drives; pattern recognition; software agents; EEG measurement system; EMG perceptual system; core technology; exoskeleton robot hydraulic driving device; exoskeleton robot intellisense system; human motion gesture; human motion sensing technology; human movement; intellisense technology; multidimensional information fusion; optical fiber motion capture system; pattern recognition rate; soldiers; Electroencephalography; Electromyography; Exoskeletons; Optical fiber sensors; Optical fibers; Robots; EEG; EMG; Exoskeleton robot; IntelliSense; Optical fiber;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2012 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-1275-2
Type
conf
DOI
10.1109/ICMA.2012.6285727
Filename
6285727
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