BO-Ear: Unsupervised car sound sensing and tracking using microphones on smartphones

Sugang Li, Xiaoran Fan, Yanyong Zhang, Wade Trappe, Janne Lindqvist, Richard Howard

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

As people become increasingly accustomed to using smartphones while they walk, there will be a corresponding concern about pedestrian safety as smartphone users might become distracted. In this work, we address this concern by developing a system for smartphones that warns users when it detects an oncoming car. In addition to detecting the presence of a vehicle, it can also estimate the vehicle's driving direction. We achieve these goals by processing the acoustic signal captured by microphones embedded in the user's mobile phone. In order to achieve more robust and timely detection, we also explore two novel feature, namely, Power on Certain Frequencies and Top Right frequency.

Original languageEnglish
Title of host publicationProceedings of the 8th Wireless of the Students, by the Students, and for the Students Workshop, S3
PublisherAssociation for Computing Machinery (ACM)
Pages9-11
Number of pages3
ISBN (Electronic)9781450342551
DOIs
Publication statusPublished - 3 Oct 2016
MoE publication typeA4 Article in a conference publication
EventWireless of the Students, by the Students, and for the Students Workshop - New York, United States
Duration: 3 Oct 20167 Oct 2016
Conference number: 8

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM
Volume03-07-October-2016

Workshop

WorkshopWireless of the Students, by the Students, and for the Students Workshop
Abbreviated titleS3
CountryUnited States
CityNew York
Period03/10/201607/10/2016

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