2008 | OriginalPaper | Chapter
Adaptive Motion-Based Gesture Recognition Interface for Mobile Phones
Authors : Jari Hannuksela, Mark Barnard, Pekka Sangi, Janne Heikkilä
Published in: Computer Vision Systems
Publisher: Springer Berlin Heidelberg
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In this paper, we introduce a new vision based interaction technique for mobile phones. The user operates the interface by simply moving a finger in front of a camera. During these movements the finger is tracked using a method that embeds the Kalman filter and Expectation Maximization (EM) algorithms. Finger movements are interpreted as gestures using Hidden Markov Models (HMMs). This involves first creating a generic model of the gesture and then utilizing unsupervised Maximum a Posteriori (MAP) adaptation to improve the recognition rate for a specific user. Experiments conducted on a recognition task involving simple control commands clearly demonstrate the performance of our approach.