Distance Physical Rehabilitation System Framework with Multi-Kinect Motion Captured Data

نویسندگان

  • Mohammad Rafiuzzaman
  • Cemil Öz
چکیده

Visiting physical therapists to the clinics for physical rehabilitation in regular basis is a very long and timeconsuming trip where the final result for success is truly hard to see in daily training. That’s why technological development in traditional physical rehabilitation system is both important, interesting and its effects on patients’ time-management process is huge. In this paper we have proposed a framework for distance physical rehabilitation system using motion captured data from multiple Kinects which can interact directly with the patients, even grasp and track their movements so as to send those data back to the doctors in clinics using Windows Azure. Its goal is to coach patients through their physical therapy exercises and make those exercises a more enjoyable experience and bring physical therapy alive for them at their homes, the same way doctors interact with them in clinics. General Terms Motion Captured Data, Movement Recognition.

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تاریخ انتشار 2015