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

Shogo Kawanaka, Yukitoshi Kashimoto, Aryan Firouzian, Yutaka Arakawa, Petri Pulli, Keiichi Yasumoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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 [%].

Original languageEnglish
Title of host publication2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9784907626310
DOIs
Publication statusPublished - Apr 2 2018
Externally publishedYes
Event10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017 - Toyama, Japan
Duration: Oct 3 2017Oct 5 2017

Publication series

Name2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017
Volume2018-January

Other

Other10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017
CountryJapan
CityToyama
Period10/3/1710/5/17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Kawanaka, S., Kashimoto, Y., Firouzian, A., Arakawa, Y., Pulli, P., & Yasumoto, K. (2018). Approaching vehicle detection method with acoustic analysis using smartphone for elderly bicycle driver. In 2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017 (pp. 1-6). (2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ICMU.2017.8330069