1 / 5

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

cruzm
Download Presentation

Extraction of spatial information for low-bandwidth telerehabilitation applications

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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.

More Related