Accelerometer-based gesture control for a design environment
Personal and Ubiquitous Computing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Gesture recognition with a Wii controller
Proceedings of the 2nd international conference on Tangible and embedded interaction
Accelerometer-based user interfaces for the control of a physically simulated character
ACM SIGGRAPH Asia 2008 papers
Pattern Recognition, Fourth Edition
Pattern Recognition, Fourth Edition
Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat
Action capture with accelerometers
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
MAGIC: a motion gesture design tool
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The skweezee system: enabling the design and the programming of squeeze interactions
Proceedings of the 26th annual ACM symposium on User interface software and technology
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Controlling computer games and other applications with motion-based gestures has become common in the last decade. In this paper we present a method to recognize relatively complex gestures with a simple, fast and yet reliable classifier algorithm. More specifically, the purpose of the classifier is to recognize large gestures, as measured with the accelerometers and gyro sensors present in the Wii remote controller. The classifier is used and tested in the context of a computer game that forces the player to make large movements. The outcomes confirm that only large gestures are recognized correctly, leading to successful play. Therefore, the classifier might be particular useful for designers of exertion games.