Research and Design of the Rehabilitation Platform Based on the Kinect Motion Acquisition

Mei Zhang

doi:10.4028/www.scientific.net/AMR.1055.354

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1055Research and Design of the Rehabilitation Platform...

Research and Design of the Rehabilitation Platform Based on the Kinect Motion Acquisition

Abstract:

Computer vision have a wide application in the modern information technology industry, the rapid development of content-based image analysis technology has been successfully applied in the analysis of transport vehicles, in various fields of industrial product testing, agricultural pest control, interactive advertising, visual intercom and detection of other medical illnesses occasions. Rehabilitation in the medical field, mainly in artificial robot-assisted rehabilitation and rehabilitation in two ways. for its expensive, high maintenance costs and single actual intelligence, Robot-assisted rehabilitation system is bad in the market promotion and application dismal; artificial rehabilitation is the best choice for the rehabilitation of patients, but in reality the patient needs to be recovered ambitious rehabilitation coach on the supply side. Provide a rehabilitation patients meet rehabilitation purchasing power and ease of use of the system is an important topic in the field of rehabilitation. Aiming at this problem, this paper take computer vision as the core to collect spatial depth chart patients through Kinect device and rebuild the action flow in patients with rehabilitation training. System Settings roles in two sports: Rehabilitation coaches and rehabilitation patients by assessing the actions of its demonstration and training flows back to the doctor the patient rehabilitation progress reports.

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Periodical:

Advanced Materials Research (Volume 1055)

Pages:

354-357

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1055.354

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Online since:

November 2014

Authors:

Mei Zhang*

Keywords:

KINECT, Motion Acquisition, Rehabitation Training

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