Abstract
User interaction with the intelligent environment should not require the user to adapt to special conventions or rules. It should be the environment who should adapt to the natural way of users interaction, but the tight resource constraints of the embedded sensors do not allow complex video processing algorithms to be executed in real time.
In this paper we present a low-cost approach to camera-based gesture recognition for intelligent environments, minimizing the required communication between sensors and servers, and performing most of the image processing in low-cost battery-powered microcontrollers.
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Moya, J.M., de Espinosa, A.M., Araujo, Á., de Goyeneche, JM., Vallejo, J.C. (2009). Low-Cost Gesture-Based Interaction for Intelligent Environments. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_114
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DOI: https://doi.org/10.1007/978-3-642-02481-8_114
Publisher Name: Springer, Berlin, Heidelberg
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