Multimedia Systems

, Volume 18, Issue 1, pp 15–31

User-centred process for the definition of free-hand gestures applied to controlling music playback

  • Andreas Löcken
  • Tobias Hesselmann
  • Martin Pielot
  • Niels Henze
  • Susanne Boll
Regular Paper

DOI: 10.1007/s00530-011-0240-2

Cite this article as:
Löcken, A., Hesselmann, T., Pielot, M. et al. Multimedia Systems (2012) 18: 15. doi:10.1007/s00530-011-0240-2

Abstract

Music is a fundamental part of most cultures. Controlling music playback has commonly been used to demonstrate new interaction techniques and algorithms. In particular, controlling music playback has been used to demonstrate and evaluate gesture recognition algorithms. Previous work, however, used gestures that have been defined based on intuition, the developers’ preferences, and the respective algorithm’s capabilities. In this paper we propose a refined process for deriving gestures from constant user feedback. Using this process every result and design decision is validated in the subsequent step of the process. Therefore, comprehensive feedback can be collected from each of the conducted user studies. Along the process we develop a set of free-hand gestures for controlling music playback. The situational context is analysed to shape the usage scenario and derive an initial set of necessary functions. In a successive user study the set of functions is validated and proposals for gestures are collected from participants for each function. Two gesture sets containing static and dynamic gestures are derived and analysed in a comparative evaluation. The comparative evaluation shows the suitability of the identified gestures and allows further refinement. Our results indicate that the proposed process, that includes validation of each design decision, improves the final results. By using the process to identify gestures for controlling music playback we not only show that the refined process can successfully be applied, but we also provide a consistent gesture set that can serve as a realistic benchmark for gesture recognition algorithms.

Keywords

Music Gestures Camera Gesture recognition CD Process User centred 

Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Andreas Löcken
    • 1
  • Tobias Hesselmann
    • 2
  • Martin Pielot
    • 2
  • Niels Henze
    • 1
  • Susanne Boll
    • 1
  1. 1.University of OldenburgOldenburgGermany
  2. 2.OFFIS, Institute for Information TechnologyOldenburgGermany

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