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

S. Soutschek; J. Kornhuber; A. Maier; S. Bauer; P. Kugler; J. Hornegger; M. Bebenek; S. Steckmann; S. von Stengel; W. Kemmler

4th International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

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

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@INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2010.8852,
    author={S. Soutschek and J. Kornhuber and A. Maier and S. Bauer and P. Kugler and J. Hornegger and M. Bebenek and S. Steckmann and S. von Stengel and W. Kemmler},
    title={Measurement of angles in time-of-flight data for the automatic supervision of training exercises},
    proceedings={4th International ICST Conference on Pervasive Computing Technologies for Healthcare},
    proceedings_a={PERVASIVEHEALTH},
    year={2010},
    month={6},
    keywords={rehabilitation ambient assisted living (AAL) automatic supervision of exercises camera time-of-f1ight.},
    doi={10.4108/ICST.PERVASIVEHEALTH2010.8852}
}

S. Soutschek
J. Kornhuber
A. Maier
S. Bauer
P. Kugler
J. Hornegger
M. Bebenek
S. Steckmann
S. von Stengel
W. Kemmler
Year: 2010
Measurement of angles in time-of-flight data for the automatic supervision of training exercises
PERVASIVEHEALTH
ICST
DOI: 10.4108/ICST.PERVASIVEHEALTH2010.8852

S. Soutschek¹^,*, J. Kornhuber¹, A. Maier², S. Bauer², P. Kugler², J. Hornegger², M. Bebenek³, S. Steckmann³, S. von Stengel³, W. Kemmler³

1: Psychiatrische und Psychotherapeutische Klinik, Universitatsklinikum Erlangen, Germany
2: Lehrstuhl fur Mustererkennung, Universitat Erlangen-Nurnberg, Germany
3: Osteoporoseforschungzentrum, Institut fur Medizinische Physik, Universitat Erlangen-Nurnberg, Germany

*Contact email: stefan.soutschek@informatik.uni-erlangen.de

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.

Keywords: rehabilitation ambient assisted living (AAL) automatic supervision of exercises camera time-of-f1ight.

Published: 2010-06-07

: http://dx.doi.org/10.4108/ICST.PERVASIVEHEALTH2010.8852