Name
Title | ||
|---|---|---|
Virtual Reality Based on Stereotypical RUPERT for Stroke Functional Rehabilitative Training Scenarios |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/SERA.2007.134 | SERA |
Keywords | Field | DocType |
motor performance,upper limb,engaging game-based stereoscopic video,rupert,perceptual-motor rehabilitation,audio scenario,game-like virtual reality,virtual reality,patient self-adjust,body motion,body posture,arm movement,stereotypical rupert,stroke functional rehabilitative training scenarios,ecog signal database,3d exercise machine,electrocorticogram,stroke functional rehabilitative,biofeedback model,exploratory work,training scenarios,3d reach-to-grasp,medical computing,hand orientation,range of motion | Rehabilitation,Range of motion,Virtual reality,Computer science,Simulation,Stroke,Real-time computing,Consciousness,Human–computer interaction,Exercise machine,Biofeedback,Perception | Conference |
ISBN | Citations | PageRank |
0-7695-2867-8 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuhui Chen | 1 | 11 | 2.41 |
| Chaolin Ma | 2 | 0 | 0.68 |
| Shaochun Xu | 3 | 134 | 19.35 |
| Jiping He | 4 | 110 | 17.46 |