Near-realistic mobile exergames with wireless wearable sensors. Academic Article uri icon


  • Exergaming is expanding as an option for sedentary behavior in childhood/adult obesity and for extra exercise for gamers. This paper presents the development process for a mobile active sports exergame with near-realistic motions through the usage of body-wearable sensors. The process begins by collecting a dataset specifically targeted to mapping real-world activities directly to the games, then, developing the recognition system in a fashion to produce an enjoyable game. The classification algorithm in this paper has precision and recall of 77% and 77% respectively, compared with 40% and 19% precision and recall on current activity monitoring algorithms intended for general daily living activities. Aside from classification, the user experience must be strong enough to be a successful system for adoption. Indeed, fast and intense activities as well as competitive, multiplayer environments make for a successful, enjoyable exergame. This enjoyment is evaluated through a 30 person user study. Multiple aspects of the exergaming user experience trials have been merged into a comprehensive survey, called ExerSurvey. All but one user thought the motions in the game were realistic and difficult to cheat. Ultimately, a game with near-realistic motions was shown to be an enjoyable, active video exergame for any environment.

published proceedings

  • IEEE J Biomed Health Inform

altmetric score

  • 0.5

author list (cited authors)

  • Mortazavi, B., Nyamathi, S., Lee, S. I., Wilkerson, T., Ghasemzadeh, H., & Sarrafzadeh, M.

citation count

  • 24

complete list of authors

  • Mortazavi, Bobak||Nyamathi, Suneil||Lee, Sunghoon Ivan||Wilkerson, Thomas||Ghasemzadeh, Hassan||Sarrafzadeh, Majid

publication date

  • March 2014