Abstract
In this paper, we propose a novel framework for estimating driver's heart rate remotely under driving condition. First, region of interest is selected by landmark points derived from discriminative response map fitting. Feature signal is then extracted for heart rate estimation and refined by dynamic standard deviation check to eliminate the noisy segments. Finally, heart rate is estimated by power spectral analysis using temporal filtered signal. We test our framework on video database captured from real-world car driving condition. Experimental results validate that the proposed method achieves better results compared with the most prominent conventional methods.
Original language | English |
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Title of host publication | 2018 IEEE International Conference on Consumer Electronics, ICCE 2018 |
Editors | Saraju P. Mohanty, Peter Corcoran, Hai Li, Anirban Sengupta, Jong-Hyouk Lee |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-2 |
Number of pages | 2 |
ISBN (Electronic) | 9781538630259 |
DOIs | |
Publication status | Published - 2018 Mar 26 |
Event | 2018 IEEE International Conference on Consumer Electronics, ICCE 2018 - Las Vegas, United States Duration: 2018 Jan 12 → 2018 Jan 14 |
Publication series
Name | 2018 IEEE International Conference on Consumer Electronics, ICCE 2018 |
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Volume | 2018-January |
Other
Other | 2018 IEEE International Conference on Consumer Electronics, ICCE 2018 |
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Country/Territory | United States |
City | Las Vegas |
Period | 18/1/12 → 18/1/14 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Media Technology