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Signal processing of the accelerometer for gesture awareness on handheld devices

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 into acceleration and dynamic acceleration, and signal patterns of accelerometers about simple gestures were analyzed. In addition, a device control module was created and its operating process was compared to that of a normal control device to evaluate 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.