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Design on exoskeleton robot intellisense system based on multi-dimensional information fusion

Yuhuan Du, Xiaodong Zhang, Yang Wang, Tong Mu

Year
2012
Citations
6

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

ExoskeletonRobotMotion (physics)Computer scienceComputer visionArtificial intelligenceMotion captureGestureHuman–robot interactionSimulation

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