Dogsperate escape: a demonstration of real-time BSN-based game control with e-AR sensor

Authors:
Kalanyu Zintus-art;Supat Saetia;Varichmaes Pongparnich;Surapa Thiemjarus
Affiliations:
School of Information, Computer, and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University;School of Information, Computer, and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University;School of Information, Computer, and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University;School of Information, Computer, and Communication Technology, Sirindhorn International Institute of Technology, Thammasat University
Venue:
KICSS'10 Proceedings of the 5th international conference on Knowledge, information, and creativity support systems
Year:
2010

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Abstract

Dogsperate Escape is a visually attractive exercise game that allows the player to perform various activities, provoking physical exercises with a memorable experience. This paper presents an implementation of the motion control module in the game based on a bio-inspired, accelerometer embedded e-AR sensor. The acceleration signals from the device are wirelessly transmitted to the PC for real-time activity analysis. A real-time activity recognition algorithm has been constructed based on pre-collected datasets acquired from ten subjects while performing a simple pre-defined activity routine. The algorithm is validated on eleven different subjects while performing another activity routine. By integrating the algorithm into the game, the recognized activities can be mapped into specific input commands for character control.