• English
  • Deutsch
  • Log In
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. StepMan - a new kind of music interaction
 
  • Details
  • Full
Options
2005
Conference Paper
Titel

StepMan - a new kind of music interaction

Abstract
The use of mobile music players is very common. While sitting in a subway, at breakfast or even at sporting time people like to be entertained by listening to music. Music expresses our mood and let us move to the rhythm. In the field of sport, joggers do have the problem that rhythm of music often does not fit to the speed and rhythm of their steps while running. This paper describes the StepMan technology which is a new kind of music interaction. Using multiple sensors to measure pace, pulse and other data, the music will be adapted in real time to fit the actual situation of the jogger. The speed of music will be varied without changing the pitch of the sound. In addition, StepMan can be used as a personal trainer which presents music with defined speed, calculated by bio parameters (pulse, calorie consumption, personal training condition etc.) and the runner has to hold the given rhythm. The described work also shows how the StepMan interacts with the user in an ambient manner, using no direct user input but biometrical sensor information and provides a multimodal output. In addition to sports application a further look to present research activities for StepMan are given.
Author(s)
Bieber, G.
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Diener, H.
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Hauptwerk
HCI International 2005. Proceedings. CD-ROM
Konferenz
International Conference on Human-Computer Interaction (HCI International) 2005
Thumbnail Image
Language
English
google-scholar
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Tags
  • biometric

  • entertainment

  • mobile interaction

  • situation analysis

  • Multimodality

  • music adaption

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022