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Design Of Virtual Reality System Of Limb Rehabilitation Based On Video Motion Capture

Posted on:2013-11-26Degree:MasterType:Thesis
Country:ChinaCandidate:F Q KeFull Text:PDF
GTID:2248330374489108Subject:Biomedical engineering
Abstract/Summary:PDF Full Text Request
Movement disorder of limbs is a very common symptom in the patients with stroke and Cerebral palsy, modern medical rehabilitation theory points out that movement disorders of limbs caused by neurological disorders can be rehabilitated by movement training by stimulating the nerve inversely that helps to create new neurological pathway. The traditional rehabilitation is a repeated and boring process, which is dramatically limited by the existing rehabilitation resources. Virtual reality has the advantages of immersion, interaction and imagination, the introduction of virtual reality into motor rehabilitation can avoid many shortcomings of traditional rehabilitation, which can motivate the patient to participate in the training to improve the training efficiency. This paper takes the virtual reality used in motor rehabilitation of limbs as a role to start the study.This paper designs a virtual reality system to capture the trainee’s motion with depth camera in real time, and then drives a model in the virtual scene to interact with other objects in the scene. The system takes a fishing game as the training way to make the training process funny, the trainee uses the fishing net controlled by right hand to catch fish, besides the creation and moving path of the fish are dynamically controlled elaborately to guide the trainee’s movement which helps to motivate and improve his movement. The costs of the hardware of the rehabilitation system can be controlled by using virtual reality, the functionality of the system can be updated by improving the design of the virtual reality scene without buying more other devices, which makes many people who need motor rehabilitation can get this treatment.
Keywords/Search Tags:motor rehabilitation, virtual reality, motion capture, model deformation
PDF Full Text Request
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