Skip to main content

Exploring the Possibilities of Body Motion Data for Human Computer Interaction Research

  • Conference paper
Book cover HCI in Work and Learning, Life and Leisure (USAB 2010)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6389))

Included in the following conference series:

Abstract

The ability to move is an important characteristic of the human condition and an important aspect for interactive settings. The role of body movement however was not addressed with priority in human computer interaction until now. In this paper we explore the possibilities and issues for usability and user experience research utilizing body motion data. We provide an overview of relevant related work and report the setup and initial results of two studies utilizing body motion capture. We discuss the experiences made in using motion capture approaches for human computer interaction research and provide an outlook on future directions of research.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Johansson, G.: Visual Perception of Biological Motion and a Model for Its Analysis. Perception Psychophysics 14(2), 201–211 (1973)

    Article  Google Scholar 

  2. Moeslund, T.B., Hilton, A., Krüger, V.: A survey of advances in vision-based human motion capture and analysis Comput. Image Underst. 104(2), 90–126 (2006)

    Article  Google Scholar 

  3. Sigal, L., Black, M.J.: Guest Editorial: State of the Art in Image- and Video-Based Human Pose and Motion Estimation. Int. J. Comput. Vision 87(1-2), 1–3 (2010)

    Article  Google Scholar 

  4. Bianchi-Berthouze, N., Kim, W.W., Patel, D.: Does Body Movement Engage You More in Digital Game Play? and Why? In: Paiva, A.C.R., Prada, R., Picard, R.W. (eds.) ACII 2007. LNCS, vol. 4738, pp. 102–113. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  5. Pasch, M., Berthouze, N., van Dijk, E., Nijholt, A.: Motivations, Strategies, and Movement Patterns of Video Gamers Playing Nintendo Wii Boxing. In: ECAG 2008 (2008)

    Google Scholar 

  6. Knight, J.F., Bristow, H.W., Anastopoulou, S., Baber, C., Schwirtz, A., Arvanitis, T.N.: Uses of accelerometer data collected from a wearable system Personal Ubiquitous Comput., vol. 11(2), pp. 117–132. Springer, Heidelberg (2007)

    Google Scholar 

  7. Williamson, J., Murray-Smith, R., Hughes, S.: Shoogle: excitatory multimodal interaction on mobile devices. In: Proceedings of the SIGCHI conference on Human factors in computing systems, CHI 2007, pp. 121–124. ACM, New York (2007)

    Chapter  Google Scholar 

  8. Biehl, J.T., Adamczyk, P.D., Bailey, B.P.: DJogger: a mobile dynamic music device. In: CHI 2006 extended abstracts on Human factors in computing systems, CHI 2006. ACM, New York (2006)

    Google Scholar 

  9. Consolvo, S., McDonald, D.W., Toscos, T., Chen, M.Y., Froehlich, J., Harrison, B., Klasnja, P., LaMarca, A., LeGrand, L., Libby, R., Smith, I., Landay, J.A.: Activity sensing in the wild: a field trial of ubifit garden. In: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, CHI 2008, pp. 1797–1806. ACM, New York (2008)

    Chapter  Google Scholar 

  10. Hafner, V.V., Bachmann, F.: Human-Humanoid Walking Gait Recognition Humanoids 2008. In: 8th IEEE-RAS International Conference on Humanoid Robots (2008)

    Google Scholar 

  11. Schou, T., Gardner, H.J.: A Wii remote, a game engine, five sensor bars and a virtual reality theatre. In: Proceedings of the 19th Australasian conference on Computer-Human Interaction, OZCHI 2007, pp. 231–234. ACM, New York (2007)

    Google Scholar 

  12. Schlömer, T., Poppinga, B., Henze, N., Boll, S.: Gesture recognition with a Wii controller. In: Proceedings of the 2nd international conference on Tangible and embedded interaction, TEI 2008, pp. 11–14. ACM, New York (2008)

    Google Scholar 

  13. Schreiber, M., Wilamowitz-Moellendorff, M., Bruder, R.: New Interaction Concepts by Using the Wii Remote. In: Proceedings of the 13th International Conference on Human-Computer Interaction. Part II, pp. 261–270. Springer, Heidelberg (2009)

    Google Scholar 

  14. Patten, J., Recht, B., Ishii, H.: Interaction techniques for musical performance with tabletop tangible interfaces. In: Proceedings of the 2006 ACM SIGCHI International Conference on Advances in Computer Entertainment Technology, ACE 2006, p. 27. ACM, New York (2006)

    Chapter  Google Scholar 

  15. Collins, A.E.: Exploring tabletop file system interaction. In: CHI 2007 Extended Abstracts on Human Factors in Computing Systems, CHI 2007, pp. 2171–2176. ACM, New York (2007)

    Google Scholar 

  16. Ravi, N., Dandekar, N., Mysore, P., Littman, M.L.: Activity recognition from accceleration data American Association for Artificial Intelligence (2005)

    Google Scholar 

  17. Györbiro, N., Fabian, A., Homanyi, G.: An activity recognition system for mobile phones Mob. Netw. Appl. 14(1), 82–91 (2009)

    Article  Google Scholar 

  18. Yang, J.-Y., Wang, J.-S., Chen, Y.-P.: Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers. Pattern Recognition Letters 29(16), 2213–2220 (2008)

    Article  Google Scholar 

  19. Dittrich, W.H., Troscianko, T., Lea, S.E., Morgan, D.: Perception of emotion from dynamic point-light displays represented in dance. Perception 25 (1996)

    Google Scholar 

  20. Montepare, J.M., Goldstein, S.B., Clausen, A.: The identification of emotions from gait information. Journal of Nonverbal Behavior 11 (1987)

    Google Scholar 

  21. Geoff, L., Saarikallio, S., Toiviainen, P.: Personality traits correlate with characteristics of music-induced movement. In: 7th Triennial Conference of European Society for the Cognitive Sciences of Music, ESCOM 2009 (2009)

    Google Scholar 

  22. Gafurov, D., Snekkenes, E.: Gait recognition using wearable motion recording sensors. EURASIP J. Adv. Signal Process, Hindawi Publishing Corp. 2009, 1–16 (2009)

    MATH  Google Scholar 

  23. Berthouze, N.: Body movement as a means to modulate engagement in computer games. In: Workshop on Whole body Interaction II: The future of the human body, HCI 2008 (2008)

    Google Scholar 

  24. Riskind, J.H., Gotay, C.C.: Physical posture: Could it have regulatory or feedback effects on motivation and emotion? Motivation and Emotion 6 (1982)

    Google Scholar 

  25. Moen, J.: From hand-held to body-worn: embodied experiences of the design and use of a wearable movement-based interaction concept. In: Proceedings of the 1st International Conference on Tangible and Embedded Interaction, TEI 2007, pp. 251–258. ACM, New York (2007)

    Google Scholar 

  26. Lindley, S.E., Le Couteur, J., Berthouze, N.L.: Stirring up experience through movement in game play: effects on engagement and social behavior. In: Proceeding of the CHI 2008 SIGCHI Conference on Human Factors in Computing Systems. ACM, New York (2008)

    Google Scholar 

  27. Izard, C.: Four Systems for Emotion Activation: Cognitive and Noncognitive Processes. Psychological Review 100 (1993)

    Google Scholar 

  28. Desmet, P., Overbeeke, C., Tax, S.: Designing products with added emotional value: development and application of an approach for research through design. The Design Journal 4(1) (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Schrammel, J., Paletta, L., Tscheligi, M. (2010). Exploring the Possibilities of Body Motion Data for Human Computer Interaction Research. In: Leitner, G., Hitz, M., Holzinger, A. (eds) HCI in Work and Learning, Life and Leisure. USAB 2010. Lecture Notes in Computer Science, vol 6389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16607-5_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-16607-5_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16606-8

  • Online ISBN: 978-3-642-16607-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics