The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2021
Session ID : 2A1-E03
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Estimation of bed leaving postures using 2D discrete Fourier transform and Self-Organizing Map
Kazuya HAMAGUCHI*Masanori SATOShinsuke YASUKAWATakeshi IKEDA
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Abstract

In this paper, we developed the motion detecting system using the depth image which applied two-dimensional discrete Fourier transform (2D-DFT). The depth images of the user are providing the user’s posture considering the user’s privacy. The depth images applied 2D-DFT shows the spatial frequency. Therefore, if the user's posture is similar even if the user's positions are different on the camera images, the transformed results are almost same. Our system is designed to determine three postures: (1) lying down on the bed, (2) turning over in the bed, and (3) leaving the bed. To determine the three postures, we obtained the number of lines and their angles using Hough transform from the two-dimensional spatial frequency spectrum. And we applied the Self-Organizing Map (SOM) to classify the three motions. In the experiments, we obtained favorable results. Our proposed method could estimate the three motions with blanket especially turning over in the bed and leaving bed motion.

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© 2021 The Japan Society of Mechanical Engineers
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