A FRAMEWORK FOR WEBCAM-BASED HAND REHABILITATION EXERCISES

Rui Liu, Burkhard C. Wünsche, Christof Lutteroth, Patrice Delmas

2011

Abstract

Applications for home-based care are rapidly increasing in importance due to spiraling health and elderly care costs. An important aspect of home-based care is exercises for rehabilitation and improving general health. In this paper we present a framework for demonstrating and monitoring hand exercises. The three main components are a 3D hand model, a high-level animation framework which facilitates the task of specifying hand exercises via skeletal animation, and a hand tracking program to monitor and evaluate users’ performance. Our hand tracking solution has no calibration stage and is easily set-up. Segmentation is performed using a perception-based colour space, and hand tracking and motion estimate are obtained using novel variations to a CAMSHIFT and contour analysis algorithms. The results indicate that the robust tracking along with the demonstration and reconstruction of hand exercises provide an effective platform for hand rehabilitation.

Paper Citation

in Harvard Style

Liu R., C. Wünsche B., Lutteroth C. and Delmas P. (2011). A FRAMEWORK FOR WEBCAM-BASED HAND REHABILITATION EXERCISES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 626-631. DOI: 10.5220/0003365206260631

in Bibtex Style

@conference{visapp11,
author={Rui Liu and Burkhard C. Wünsche and Christof Lutteroth and Patrice Delmas},
title={A FRAMEWORK FOR WEBCAM-BASED HAND REHABILITATION EXERCISES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={626-631},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003365206260631},
isbn={978-989-8425-47-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - A FRAMEWORK FOR WEBCAM-BASED HAND REHABILITATION EXERCISES
SN - 978-989-8425-47-8
AU - Liu R.
AU - C. Wünsche B.
AU - Lutteroth C.
AU - Delmas P.
PY - 2011
SP - 626
EP - 631
DO - 10.5220/0003365206260631