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Smart Health pp 189–208Cite as

A User-Centered Design Approach to Physical Motion Coaching Systems for Pervasive Health

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8700))

Abstract

Our goal is to develop a system for coaching human motions (e.g., for rehabilitation and daily health maintenance). This paper focuses on how to coach a user so that his/her motion gets closer to the good template of a target motion. It is important to efficiently advise the user to emulate the crucial features that define the good template. The proposed system (1) automatically mines the crucial features of any kind of motion from a set of motion features and (2) gives the user feedback about how to modify the motion through an intuitive interface. The crucial features are mined by feature sparsification through binary classification between the samples of good and other motions. An interface for motion coaching is designed to give feedback via different channels (e.g., visually, aurally), depending on the type of error. To use the total system, all the user must do is just move and then get feedback on the motion. Following experimental results, open problems for future work are discussed.

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Notes

  1. 1.

    We assume that a target motion can be classified into good and other motions. For example, any motion in rehabilitation should be as correct (i.e., good) as possible.

  2. 2.

    To validate the system, a sport motion is a good example because its exercise is important for skill proficiency of beginners as well as rehabilitation of experts.

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Author information

Authors and Affiliations

  1. Nara Institute of Science and Technology, Takayama, Ikoma, Nara, 8916-5, Japan

    Norimichi Ukita

  2. RWTH Aachen University, Campus-Boulevard 57, 52074, Aachen, Germany

    Daniel Kaulen & Carsten Röcker

Authors
  1. Norimichi Ukita
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  2. Daniel Kaulen
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  3. Carsten Röcker
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Correspondence to Norimichi Ukita .

Editor information

Editors and Affiliations

  1. Research Unit HCI-KDD, Medical University of Graz, Graz, Austria

    Andreas Holzinger

  2. Industrial HCI Research Lab, Fraunhofer Institute, Lemgo, Germany

    Carsten Röcker

  3. Human-Computer Interaction Center, RWTH Aachen University, Aachen, Germany

    Martina Ziefle

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Ukita, N., Kaulen, D., Röcker, C. (2015). A User-Centered Design Approach to Physical Motion Coaching Systems for Pervasive Health. In: Holzinger, A., Röcker, C., Ziefle, M. (eds) Smart Health. Lecture Notes in Computer Science(), vol 8700. Springer, Cham. https://doi.org/10.1007/978-3-319-16226-3_8

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  • DOI: https://doi.org/10.1007/978-3-319-16226-3_8

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  • Online ISBN: 978-3-319-16226-3

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