Descripción
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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. | |
Internacional
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Si |
Nombre congreso
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Workshop on User-Centric Technologies and Applications |
Tipo de participación
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960 |
Lugar del congreso
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Salamanca |
Revisores
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Si |
ISBN o ISSN
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978-3-642-28764-0 |
DOI
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10.1007/978-3-642-28765-7_21 |
Fecha inicio congreso
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30/04/2012 |
Fecha fin congreso
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30/04/2012 |
Desde la página
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173 |
Hasta la página
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184 |
Título de las actas
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Distributed Computing and Artificial Intelligence Advances in Intelligent and Soft Computing Volume 151, 2012, pp 173-184 |