Descripción
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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. | |
Internacional
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Si |
JCR del ISI
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No |
Título de la revista
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Advances in Distributed Computing and Artificial Intelligence Journal |
ISSN
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2255-2863 |
Factor de impacto JCR
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Información de impacto
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Volumen
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3 |
DOI
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Número de revista
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Desde la página
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11 |
Hasta la página
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26 |
Mes
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DICIEMBRE |
Ranking
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