Measurement of angles in time-of-flight data for the automatic supervision of training exercises

Soutschek S, Kornhuber J, Maier A, Bauer S, Kugler P, Hornegger J, Bebenek M, Steckmann S, von Stengel S, Kemmler W (2010)


Publication Type: Conference contribution, Conference Contribution

Publication year: 2010

Original Authors: Soutschek S., Kornhuber J., Maier A., Bauer S., Kugler P., Hornegger J., Bebenek M., Steckmann S., Von Stengel S., Kemmler W.

Book Volume: null

Pages Range: -

Event location: Munich

Journal Issue: null

DOI: 10.4108/ICST.PERVASIVEHEALTH2010.8852

Abstract

In this paper we present a novel automatic system to supervise and support rehabilitation and fitness exercises. Goal of the system is to enable autonomous training of rehabilitation patients to support their recovery from movement restrictions as well as the prevention of age-related diseases such as osteoporosis. The system uses time-of-flight technology in order to measure movement angles in real-time. This novel setup is compared to a standard tracking system using visual markers. The measurements of both systems correlate with r values between 0.99 and 0.97 depending on the task domain. The mean error of the angle measurements is between 13 and 17 degrees.

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How to cite

APA:

Soutschek, S., Kornhuber, J., Maier, A., Bauer, S., Kugler, P., Hornegger, J.,... Kemmler, W. (2010). Measurement of angles in time-of-flight data for the automatic supervision of training exercises. In Proceedings of the 2010 4th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2010 (pp. -). Munich.

MLA:

Soutschek, Stefan, et al. "Measurement of angles in time-of-flight data for the automatic supervision of training exercises." Proceedings of the 2010 4th International Conference on Pervasive Computing Technologies for Healthcare, Pervasive Health 2010, Munich 2010. -.

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