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S. Kawanaka, Y. Kashimoto, A. Firouzian, Y. Arakawa, P. Pulli and K. Yasumoto, "Approaching vehicle detection method with acoustic analysis using smartphone for elderly bicycle driver," 2017 Tenth International Conference on Mobile Computing and Ubiquitous Network (ICMU), Toyama, 2017, pp. 1-6. doi: 10.23919/ICMU.2017.8330069

Approaching vehicle detection method with acoustic analysis using smartphone for elderly bicycle driver

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Author: Kawanaka, Shogo1; Kashimoto, Yukitoshi1; Firouzian, Aryan2;
Organizations: 1Graduate School of Information Science, Nara Institute of Science and Technology, Ikoma, Nara 630-0192, Japan
2University of Oulu, Pentti Kaiteran katu 1, 90014 Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.2 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2019050314083
Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2019-05-03
Description:

Abstract

More than 60 percentage of fatal accidents while riding a bicycle is caused by elderly people over 65 years old. The main cause is the detection delay of approaching vehicle caused by the decrease of cognitive function due to aging. In this paper, we propose an approaching vehicle detection method using a smartphone aiming to support bicycle operation to prevent elderly people from fatal accidents while riding a bicycle vehicle. Among various sensors embedded in a smartphone, we focus on microphone as the most suitable sensor for detecting an approaching vehicle. We collected sound data in a real environment and created an approaching vehicle detection model by using machine learning. Finally, as a result of accuracy evaluation with 10-fold cross-validation, we confirmed that it can detect approaching vehicle with an average F-value of 97.4 [%].

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ISBN: 978-4-907626-31-0
ISBN Print: 978-1-5386-0594-3
Pages: 1 - 6
Article number: 8330069
DOI: 10.23919/ICMU.2017.8330069
OADOI: https://oadoi.org/10.23919/ICMU.2017.8330069
Host publication: Conference proceedings of the tenth International Conference on Mobile Computing and Ubiquitous Networking（ICMU2017）, Oct. 3-5, 2017, Toyama International Conference Center, Toyama, Japan
Conference: International Conference on Mobile Computing and Ubiquitous Networking
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Article
Funding: This work was supported by JSPS KAKENHI Grant Number 15H05708.
Copyright information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.