Title
Homogeneous accelerometer-based sensor networks for game interaction
Abstract
We have created and tested a wearable sensor network that detects a user's body position and motion as input for interactive applications. It is envisioned to take game experiences such as Dance Dance Revolution, Wii Fit, and other active play scenarios to a whole new level, augmenting or replacing the binary foot-pad and balance board with a more immersive, full-body input system. We describe the design and functionality of the sensor network to characterize and verify body pose and position, perform experiments, and report on the capabilities and limitations of such a system. Our experience shows that a distributed set of sensors around the body prevents the player from cheating the system by using motion of the device alone to trick the system. In this work we show that a relatively simple sensor network configuration can enforce proper form and ensure that the player is actively participating in the game context, while a larger configuration can be used in training applications.
Year
DOI
Venue
2011
10.1145/1953005.1953006
Computers in Entertainment
Keywords
Field
DocType
dance dance revolution,human computer interaction,full-body input system,sensor network,game context,active play scenario,body position,larger configuration,game interaction,entertainment technologies,wii fit,video games,wearable sensor network,sensor networks,simple sensor network configuration,accelerometer
Discrete mathematics,Dance,Wearable computer,Accelerometer,Simulation,Computer science,Visual sensor network,Balance board,Human–computer interaction,Cheating,Wireless sensor network,Binary number
Journal
Volume
Issue
Citations 
9
1
2
PageRank 
References 
Authors
0.40
13
5
Name
Order
Citations
PageRank
Anthony Whitehead114320.84
Hannah Johnston2717.87
Kaitlyn Fox3184.55
Nick Crampton4153.79
Joe Tuen520.40