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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Study on Simultaneous-Action Discrimination System Using the Neural Network
verfasst von : Takahiko Murayama, Masato Ito, Hatsuo Yamasaki, Tomoaki Nakano, Muneo Yamada
Erschienen in: Intelligent Transport Systems for Everyone’s Mobility
Verlag: Springer Singapore
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Abstract
Along with the rapid spread of a smartphones, accidents caused by “simultaneous-walking” which is walking while operating a smartphone and “simultaneous-cycling” which is cycling while operating a smartphone has become a social problem. Our research group has been studying algorithms to detect simultaneous-walking and simultaneous-cycling using the smartphone itself, and proposed a method to switch each detection algorithm based on GPS speed. However, in an environment that could not obtain the GPS information, there were problems that cannot be used this conventional method and the detection accuracy changes greatly depending on the surrounding environment. In this study, our research group suggests a discrimination method of simultaneous-walking and simultaneous-cycling which is robust against the above problem by learning tri-axial acceleration sensor information of a smartphone with a neural network.