TY - GEN
T1 - Accuracy evaluations of contact-free heart rate measurement mehods using 4K facial images
AU - Yasumaru, Masaki
AU - Cheng, Zhengxue
AU - Yoloyama, Ryota
AU - Knai, Kenji
AU - Katto, Jiro
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by the EU-JAPAN initiative by the EC Horizon 2020 Work Programme (2018-2020) Grant Agreement No.814918 and Ministry of Internal Affairs and Communications “Federating IoT and cloud infrastructures to provide scalable and interoperable Smart Cities applications, by introducing novel IoT virtualization technologies (Fed4IoT)”.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/3/6
Y1 - 2019/3/6
N2 - Recently, with the spread of Internet of Things (IoT), video surveillance system is widely used to detect abnormal activity using cameras and sensors. In such video surveillance system, contact-free heart rate measurement is a highly required technology to predict the occurrence of abnormal activities and suspicious humans. In this paper, our main contributions can be summarized by two aspects. First, we compare the accuracy performance of heart rate measurement using six heart beat waveform acquisition methods and two heart rate calculation methods. Second, we discuss the influence of image resolutions of RGB cameras on accurate performance, to investigate the requirement of surveillance cameras in actual scenarios.
AB - Recently, with the spread of Internet of Things (IoT), video surveillance system is widely used to detect abnormal activity using cameras and sensors. In such video surveillance system, contact-free heart rate measurement is a highly required technology to predict the occurrence of abnormal activities and suspicious humans. In this paper, our main contributions can be summarized by two aspects. First, we compare the accuracy performance of heart rate measurement using six heart beat waveform acquisition methods and two heart rate calculation methods. Second, we discuss the influence of image resolutions of RGB cameras on accurate performance, to investigate the requirement of surveillance cameras in actual scenarios.
KW - Heart rate estimation
KW - Independent Component Analysis (ICA)
KW - RGB camera
UR - http://www.scopus.com/inward/record.url?scp=85063790622&partnerID=8YFLogxK
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U2 - 10.1109/ICCE.2019.8662095
DO - 10.1109/ICCE.2019.8662095
M3 - Conference contribution
AN - SCOPUS:85063790622
T3 - 2019 IEEE International Conference on Consumer Electronics, ICCE 2019
BT - 2019 IEEE International Conference on Consumer Electronics, ICCE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Consumer Electronics, ICCE 2019
Y2 - 11 January 2019 through 13 January 2019
ER -