Audio-based early warning system of sound events on the road for improving the safety of hearing-impaired people

Chia Yi Chen, Pei Yi Kuo, Yunh Hsin Chiang, Jia Yun Liang, Kai Wen Liang, Pao Chi Chang

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

5 Scopus citations

Abstract

This paper presents an audio-based early warning system which helps to protect the safety of people with hearing impairment. The work is implemented on Android platform with a human-machine interface APP rendering. The prediction model will identify the result and send it to the device interface in order to alert the user. The experimental results showed that the accuracy of the system is 66.4% for eight class classification, including vehicle approaching events and some environmental sound on the road.

Original languageEnglish
Title of host publication2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages933-936
Number of pages4
ISBN (Electronic)9781728135755
DOIs
StatePublished - Oct 2019
Event8th IEEE Global Conference on Consumer Electronics, GCCE 2019 - Osaka, Japan
Duration: 15 Oct 201918 Oct 2019

Publication series

Name2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019

Conference

Conference8th IEEE Global Conference on Consumer Electronics, GCCE 2019
Country/TerritoryJapan
CityOsaka
Period15/10/1918/10/19

Keywords

  • Android application
  • Audio detection
  • Machine learning
  • Warning

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