The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2016
Session ID : 1P1-01b4
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The research of distinguishing basci motion of sign language using Singular Value Decomposition
Ayaka HATORIHiroyuki KOBAYASHI
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Abstract

This paper deals with a new method for measuring arm motion of sign language. In many preceding researches, they use camera and data-glove for this purpose. But, camera and data-glove are inconvenient to carry and wear in various places. So, a new tool suite that doesn't tax user and can be used anywhere in needed. In this research, the authors propose sign language translator by using wristband style wearable device like a smart watch. Almost all such wearable devices have inertial sensors. Therefore, the authors use inertial sensors for getting data of arm and use Singular Value Decomposition for analysis to distinguish arm motions.

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© 2016 The Japan Society of Mechanical Engineers
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