%0 Journal Article
%T User-independent accelerometer-based gesture recognition for mobile devices
%A Xian WANG
%A Paula TARR¨ªO
%A Ana Mar¨ªa BERNARDOS
%A Eduardo METOLA
%J ADCAIJ : Advances in Distributed Computing and Artificial Intelligence Journal
%D 2013
%I Universidad de Salamanca
%X 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
%K Gesture recognition
%K Accelerometers
%K Mobile devices
%K Human-robot interaction
%U http://campus.usal.es/~revistas_trabajo/index.php/2255-2863/article/view/10090