Sensing techniques for mobile interaction
UIST '00 Proceedings of the 13th annual ACM symposium on User interface software and technology
Rock 'n' Scroll Is Here to Stay
IEEE Computer Graphics and Applications
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
Development of a single 3-axis accelerometer sensor based wearable gesture recognition band
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
Advances in Human-Computer Interaction
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This paper is about how to treat the signals of accelerometers to recognize user gestures from detected signals from accelerometers after applying small accelerometers to handheld devices, and about how to precisely recognize gestures to detect user gestures. To use handheld devices in recognizing gestures, overheads arising from the process of recognizing gestures should be little and gestures should be effectively recognized in real operational environments. Therefore, signals detected from accelerometers were treated after classifying them “static acceleration” and “dynamic acceleration”, and signal patterns of accelerometers about simple gestures were analyzed. In addition, a device control module was created and evaluated the usability of gestures recognition. The result was that because gesture-based control is easy to use and can reduce preparation process to control for rapid system reaction, it is a proper user interface for handheld devices primarily used in mobile environments.