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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Gesture Recognition Using Mobile Phone’s Inertial Sensors
verfasst von : Xian Wang, Paula Tarrío, Eduardo Metola, Ana M. Bernardos, José R. Casar
Erschienen in: Distributed Computing and Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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The availability of inertial sensors embedded in mobile devices has enabled a new type of interaction based on the movements or “gestures” made by the users when holding the device. In this paper we propose a gesture recognition system for mobile devices based on accelerometer and gyroscope measurements. The system is capable of recognizing a set of predefined gestures in a user-independent way, without the need of a training phase. Furthermore, it was designed to be executed in real-time in resource-constrained devices, and therefore has a low computational complexity. The performance of the system is evaluated offline using a dataset of gestures, and also online, through some user tests with the system running in a smart phone.