OS13-5 Recognition of Texting While Walking Using Convolutional Neural Networks

Title:	OS13-5 Recognition of Texting While Walking Using Convolutional Neural Networks
Publication:	ICAROB2018
Volume:	23
Pages:	546-549
ISSN:	2188-7829
DOI:	10.5954/ICAROB.2018.OS13-5
Author(s):	Junpei Miyachi, Masayoshi Tabuse
Publication Date:	February 2, 2018
Keywords:	Texting while walking, Pose estimation, CNN
Abstract:	In recent years, texting while walking has become a problem with the spread of smartphones. Pedestrians who operate a smartphone while walking decrease attention to their surrounding environment. The purpose of this study is to detect the pedestrians using surveillance camera for the support of accident preventions in railways. We propose the method of texting while walking recognition using convolutional neural networks. We show the classification results of a pedestrian who is texting while walking.
PDF File:	https://alife-robotics.co.jp/members2018/icarob/data/html/data/OS_pdf/OS13/OS13-5.pdf
Copyright:	© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/