Abstract
In this paper we present an approach for recognizing free-handed gestures using an embedded wireless accelerometric bracelet. We developed a very low complexity algorithm which can be directly implemented on the device and operate in real-time. New gestures can be easily added through supervised learning. An evaluation shows the feasibility of our approach. Simple gestures are detected and recognized at a very high rate (> 97%) while more complex ones were misclassified more often (48% – 95%).
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Hein, A., Hoffmeyer, A., Kirste, T. (2009). Utilizing an Accelerometric Bracelet for Ubiquitous Gesture-Based Interaction. In: Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Intelligent and Ubiquitous Interaction Environments. UAHCI 2009. Lecture Notes in Computer Science, vol 5615. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02710-9_57
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DOI: https://doi.org/10.1007/978-3-642-02710-9_57
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