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
Link To Document :
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