Drowsiness Detection System Using Heartbeat Rate in Android-Based Handheld Devices

Kai Wei Ke, Muhammad R. Zulman, Ho Ting Wu, Yu Fu Huang, Jayasakthi Thiagarajan

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

15 Scopus citations

Abstract

Driving is a common activity in every person's daily life which is important to make sure it is safe and secure. Although many rules have been implemented to manage the traffic, accident such as collision are still happened. One of contributed factor to this is drowsy driving. We developed a drowsiness detection system using the information of ECG signal to minimalize the risk of the accident. ECG signal acquired from a sensor, which then transferred via Bluetooth to android device to calculated power ratio by applying hamming window and FFT technique. As the ratio decreasing, the system will activate the alarm which indicate the driver is drowsy.

Original languageEnglish
Title of host publicationProceedings - 2016 1st International Conference on Multimedia and Image Processing, ICMIP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages99-103
Number of pages5
ISBN (Electronic)9781467389402
DOIs
StatePublished - 21 09 2016
Externally publishedYes
Event1st International Conference on Multimedia and Image Processing, ICMIP 2016 - Bandar Seri Begawan, Brunei Darussalam
Duration: 01 06 201603 06 2016

Publication series

NameProceedings - 2016 1st International Conference on Multimedia and Image Processing, ICMIP 2016

Conference

Conference1st International Conference on Multimedia and Image Processing, ICMIP 2016
Country/TerritoryBrunei Darussalam
CityBandar Seri Begawan
Period01/06/1603/06/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • HR sensor
  • android
  • drowsiness detection
  • heartbeat rate
  • power ratio

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