Journal article
Near-Realistic Mobile Exergames With Wireless Wearable Sensors
IEEE journal of biomedical and health informatics, Vol.18(2), pp.449-456
03/2014
Handle:
https://hdl.handle.net/2376/105061
PMID: 24608050
Abstract
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.
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Details
- Title
- Near-Realistic Mobile Exergames With Wireless Wearable Sensors
- Creators
- Bobak Mortazavi - Dept. of Comput. Sci., Univ. of California, Los Angeles, Los Angeles, CA, USASuneil Nyamathi - Dept. of Comput. Sci., Univ. of California, Los Angeles, Los Angeles, CA, USASunghoon Ivan Lee - Dept. of Comput. Sci., Univ. of California, Los Angeles, Los Angeles, CA, USAThomas Wilkerson - Dept. of Comput. Sci., Univ. of California, Los Angeles, Los Angeles, CA, USAHassan Ghasemzadeh - Dept. of Comput. Sci., Univ. of California, Los Angeles, Los Angeles, CA, USAMajid Sarrafzadeh - Dept. of Comput. Sci., Univ. of California, Los Angeles, Los Angeles, CA, USA
- Publication Details
- IEEE journal of biomedical and health informatics, Vol.18(2), pp.449-456
- Academic Unit
- Electrical Engineering and Computer Science, School of
- Publisher
- IEEE
- Identifiers
- 99900546541401842
- Language
- English
- Resource Type
- Journal article