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Sensor-Based Continuous Hand Gesture Recognition by Long Short-Term Memory

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Document pages: 4 pages

Abstract: This article aims to present a novel sensor-based continuous hand gesturerecognition algorithm by long short-term memory (LSTM). Only the basicaccelerators and or gyroscopes are required by the algorithm. Given a sequenceof input sensory data, a many-to-many LSTM scheme is adopted to produce anoutput path. A maximum a posteriori estimation is then carried out based on theobserved path to obtain the final classification results. A prototype systembased on smartphones has been implemented for the performance evaluation.Experimental results show that the proposed algorithm is an effectivealternative for robust and accurate hand-gesture recognition.

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