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 language | English |
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Title of host publication | Proceedings - 2016 1st International Conference on Multimedia and Image Processing, ICMIP 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 99-103 |
Number of pages | 5 |
ISBN (Electronic) | 9781467389402 |
DOIs | |
State | Published - 21 09 2016 |
Externally published | Yes |
Event | 1st International Conference on Multimedia and Image Processing, ICMIP 2016 - Bandar Seri Begawan, Brunei Darussalam Duration: 01 06 2016 → 03 06 2016 |
Publication series
Name | Proceedings - 2016 1st International Conference on Multimedia and Image Processing, ICMIP 2016 |
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Conference
Conference | 1st International Conference on Multimedia and Image Processing, ICMIP 2016 |
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Country/Territory | Brunei Darussalam |
City | Bandar Seri Begawan |
Period | 01/06/16 → 03/06/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- HR sensor
- android
- drowsiness detection
- heartbeat rate
- power ratio