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
|Author:||Kawanaka, Shogo1; Kashimoto, Yukitoshi1; Firouzian, Aryan2;|
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
|Online Access:||PDF Full Text (PDF, 1.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019050314083
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2019-05-03
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 [%].
|Pages:||1 - 6|
Conference proceedings of the tenth International Conference on Mobile Computing and Ubiquitous Networking（ICMU2017）, Oct. 3-5, 2017, Toyama International Conference Center, Toyama, Japan
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
This work was supported by JSPS KAKENHI Grant Number 15H05708.
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