User-centric exergaming with fine-grain activity recognition Conference Paper uri icon

abstract

  • Exergaming, the use of activity, exercise, and information in video games, has been a growing field for the promotion of wellness and for preventing and treating obesity. Realistic exergaming requires movements that are adapted from detailed, fine-grain motions. An appropriate, active exergame requires a user-centric design, allowing for accurate motion recognition as well as a real-time responsiveness, often balancing accuracy with latency. This paper presents a framework for such an exergaming system, specializing on human interaction. This system includes a method for dynamically altering the algorithm to analyze the trade-off between classification accuracy and real-time responsiveness, allowing for a unique, tailored, interactive experience. Copyright ACM.

name of conference

  • Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

published proceedings

  • Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

author list (cited authors)

  • Mortazavi, B., Lee, S. I., & Sarrafzadeh, M.

citation count

  • 3

complete list of authors

  • Mortazavi, Bobak||Lee, Sunghoon Ivan||Sarrafzadeh, Majid

publication date

  • January 2014