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Descripción
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| This paper presents a mobile-instrumented Platform to in- teract with smart objects by using gestures. The system relies on a Dynamic Time Warping algorithm, which serve to train personalized gestures and also to recognize them real-time. The trained set of gestures is available for con- sumer applications to include this type of interaction in their functionalities. In particular, we describe a consumer appli- cation that enables to con?gure and orchestrate di erent controllable smart objects. Each object provides a list of con?gurable actions that it can perform, thus the user may match each action with his preferred gesture. In execution time, a user may control the desired object just by pressing the object name; additionally, the user can retrieve the ex- isting con?guration, recon?gure it and train new gestures. The result is an easy-to-scale system, in which developers may include new object modules. | |
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Internacional
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Si |
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Nombre congreso
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11th ACM Conference on Embedded Networked Sensor Systems (SenSys 2013) |
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Tipo de participación
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960 |
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Lugar del congreso
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ROma (Italia) |
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Revisores
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Si |
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ISBN o ISSN
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978-1-4503-2027-6 |
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DOI
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Fecha inicio congreso
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11/11/2013 |
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Fecha fin congreso
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14/11/2013 |
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Desde la página
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1 |
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Hasta la página
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2 |
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Título de las actas
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Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems (SenSys 2013) |