Abstract
In this paper a hand gesture recognition method using Artificial Neural Networks (ANN) is presented, to evaluate this approach the three-axis accelerometer found in the Wiimote controller was used to generate a dataset of hand gestures of certain geometric shapes and letters. The gesture recognition process and its evaluation are discussed.
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Arce, F., Valdez, J.M.G. (2010). Accelerometer-Based Hand Gesture Recognition Using Artificial Neural Networks. In: Castillo, O., Kacprzyk, J., Pedrycz, W. (eds) Soft Computing for Intelligent Control and Mobile Robotics. Studies in Computational Intelligence, vol 318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15534-5_5
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DOI: https://doi.org/10.1007/978-3-642-15534-5_5
Publisher Name: Springer, Berlin, Heidelberg
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