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Extraction of spatial information for low-bandwidth telerehabilitation applications

Extraction of spatial information for low-bandwidth telerehabilitation applications. Kok Kiong Tan, PhD; Arun Shankar Narayanan; Choon Huat Koh, PhD; Kevin Caves; Helen Hoenig, MD, PhD. Aim

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Extraction of spatial information for low-bandwidth telerehabilitation applications

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  1. Extraction of spatial information for low-bandwidth telerehabilitationapplications Kok Kiong Tan, PhD; Arun Shankar Narayanan; Choon Huat Koh, PhD; Kevin Caves; Helen Hoenig, MD, PhD

  2. Aim • Introduce innovative ways to use information about the depth of selected objects with 2-dimensional (2D) video for telerehabilitation applications. • Relevance • Rehabilitation assessments may require spatial information to accurately assess patients. • Sending 3-dimensional (3D) video data over low-bandwidth networks is extremely challenging.

  3. Method • Used Microsoft Kinect sensor together with opensource color detection and tracking library package to extract desired depth data from image. • Plotted extracted depth data on graph that was then displayed alongside images to allow sensible conclusions about patient’s condition. • Presented examples of rehabilitation assessments for which spatial information is required as well as solutions to leverage the proposed approach.

  4. Results Example: Tracking a single object. Example: Tracking body joints in cane height assessment.

  5. Conclusion • Effectiveness was shown for a framework to extract information about depth and transmit it with 2D images for use in rehabilitation. • This framework should prove very useful for providing information about spatial resolution when limited network bandwidth hinders conventional 3D video transmission.

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