NDLI: Upper Limb Position Sensing: A Machine Vision Approach

Content Provider	IEEE Xplore Digital Library
Author	Han, D. Kuschner, D. Yuan-fang Wang
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., California Univ., Santa Barbara, CA (Han, D.)
Abstract	Numerous approaches to sensing limb position for controlling neural prostheses have been proposed, evaluated and even incorporated into commercial products. In general, these technologies have focused on the goals of accuracy, convenience and cost. Here we propose an approach to sensing upper limb posture for a stroke rehabilitation system that does not require any devices attached to the subject This is achieved through the use of a machine vision approach, which involves focusing a digital video camera on the subject and processing the video stream using a specialized algorithm running on a PC. This algorithm will produce a trigger signal whenever the arm posture conforms to a predefined profile. While the approach itself can be applied to a variety of sensing and control applications, we have demonstrated it by developing and characterizing an algorithm that can accurately sense elbow flexion and extension. The machine vision algorithm performs 3-D recovery of the arm position and calculates the elbow angle accordingly, which we have compared to a commercially available goniometer. It also involves a model based prediction and correction technique that improves the accuracy where the model is trained at the outset of a sensing session. The system uses a commercial off-the-shelf webcam, which is widely available and cost effective. The experiments were done in vivo, and the results have shown that the accuracy of the system is about 90% accurate on average compared to our benchmarking device, and that it has strong potential to facilitate control of neural prostheses
Starting Page	490
Ending Page	493
File Size	2145278
Page Count	4
File Format	PDF
ISBN	0780387104
DOI	10.1109/CNE.2005.1419667
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-03-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	In vivo Costs Machine vision Goniometers Predictive models Streaming media Signal processing Digital cameras Elbow Prosthetics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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