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User-independent accelerometer-based gesture recognition for mobile devices

Author(s): Xian WANG | Paula TARRÍO | Ana María BERNARDOS | Eduardo METOLA | José Ramón CASAR

Journal: ADCAIJ : Advances in Distributed Computing and Artificial Intelligence Journal
ISSN 2255-2863

Volume: 1;
Issue: 3;
Start page: 11;
Date: 2013;
Original page

Keywords: Gesture recognition | Accelerometers | Mobile devices | Human-robot interaction

Many mobile devices embed nowadays inertial sensors. This enables new forms of human-computer interaction through the use of gestures (movements performed with the mobile device) as a way of communication. This paper presents an accelerometer-based gesture recognition system for mobile devices which is able to recognize a collection of 10 different hand gestures. The system was conceived to be light and to operate in a user-independent manner in real time. The recognition system was implemented in a smart phone and evaluated through a collection of user tests, which showed a recognition accuracy similar to other state-of-the art techniques and a lower computational complexity. The system was also used to build a human-robot interface that enables controlling a wheeled robot with the gestures made with the mobile phone
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