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5th ACIS International Conference on Software Engineering Research, Management & Applications (SERA 2007)
Virtual Reality Based on Stereotypical RUPERT for Stroke Functional Rehabilitative Training Scenarios
Haeundae Grand Hotel, Busan, South Korea
August 20-August 22
ISBN: 0-7695-2867-8
Xuhui Chen, Lanzhou University of Technology, China; Arizona State University, USA
Chaolin Ma, Arizona State University, USA
Shaochun Xu, Laurentian University, Canada
Jiping He, Arizona State University, USA
This paper outlines our work in developing a series of game-like VR scenarios to assess and rehabilitate System with 3-D Exercise Machine for Upper Limb, coordination, range of motion and other relevant perceptual motor activities. The novel experiments with a new perturbation paradigm were designed to study the control of hand orientation and arm movement during 3D reach-to-grasp in both human subjects and rhesus monkeys. The experiments captured the signal from the monkey?s brain (Electrocorticogram, EcoG), and integrated the signals into a DATABASE. Our efforts have focused on building engaging game-based stereoscopic video and audio scenarios that allow clients to participate in perceptual-motor rehabilitation. From the audio and video, the system of DEMO could activate the patient?s consciousness to adjust the arm?s movement; this depends on the patient self-adjust and self-rehabilitation. Exploratory work using EcoG signal DATABASE to match the motion and the biofeedback model, detect and track 3D body motion, identify body postures and quantify motor performance is also described, this method of biofeedback could extract the subjective desire and promote the effect of the rehabilitative training.
Citation:
Xuhui Chen, Chaolin Ma, Shaochun Xu, Jiping He, "Virtual Reality Based on Stereotypical RUPERT for Stroke Functional Rehabilitative Training Scenarios," sera, pp.639-644, 5th ACIS International Conference on Software Engineering Research, Management & Applications (SERA 2007), 2007
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