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

• URL: http://arxiv.org/abs/2007.11268v1
• Date: Wed, 22 Jul 2020 08:40:40 GMT
• Title: Sensor-Based Continuous Hand Gesture Recognition by Long Short-Term Memory
• Authors: Tsung-Ming Tai, Yun-Jie Jhang, Zhen-Wei Liao, Kai-Chung Teng, and Wen-Jyi Hwang
• Abstract summary: This article presents a sensor-based continuous hand gesture recognition algorithm by long short-term memory (LSTM) A prototype system based on smartphones has been implemented for the performance evaluation. Experimental results show that the proposed algorithm is an effective alternative for robust and accurate hand-gesture recognition.
• Score: 0.1580926907837365
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This article aims to present a novel sensor-based continuous hand gesture recognition algorithm by long short-term memory (LSTM). Only the basic accelerators and/or gyroscopes are required by the algorithm. Given a sequence of input sensory data, a many-to-many LSTM scheme is adopted to produce an output path. A maximum a posteriori estimation is then carried out based on the observed path to obtain the final classification results. A prototype system based on smartphones has been implemented for the performance evaluation. Experimental results show that the proposed algorithm is an effective alternative for robust and accurate hand-gesture recognition.

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