Accuracy evaluations of contact-free heart rate measurement mehods using 4K facial images

Masaki Yasumaru, Zhengxue Cheng, Ryota Yoloyama, Kenji Knai, Jiro Katto

研究成果: Conference contribution

抄録

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.

元の言語English
ホスト出版物のタイトル2019 IEEE International Conference on Consumer Electronics, ICCE 2019
出版者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538679104
DOI
出版物ステータスPublished - 2019 3 6
イベント2019 IEEE International Conference on Consumer Electronics, ICCE 2019 - Las Vegas, United States
継続期間: 2019 1 112019 1 13

出版物シリーズ

名前2019 IEEE International Conference on Consumer Electronics, ICCE 2019

Conference

Conference2019 IEEE International Conference on Consumer Electronics, ICCE 2019
United States
Las Vegas
期間19/1/1119/1/13

Fingerprint

Cameras
Image resolution
Sensors
Internet of things

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Media Technology
  • Electrical and Electronic Engineering

これを引用

Yasumaru, M., Cheng, Z., Yoloyama, R., Knai, K., & Katto, J. (2019). Accuracy evaluations of contact-free heart rate measurement mehods using 4K facial images. : 2019 IEEE International Conference on Consumer Electronics, ICCE 2019 [8662095] (2019 IEEE International Conference on Consumer Electronics, ICCE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2019.8662095

Accuracy evaluations of contact-free heart rate measurement mehods using 4K facial images. / Yasumaru, Masaki; Cheng, Zhengxue; Yoloyama, Ryota; Knai, Kenji; Katto, Jiro.

2019 IEEE International Conference on Consumer Electronics, ICCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8662095 (2019 IEEE International Conference on Consumer Electronics, ICCE 2019).

研究成果: Conference contribution

Yasumaru, M, Cheng, Z, Yoloyama, R, Knai, K & Katto, J 2019, Accuracy evaluations of contact-free heart rate measurement mehods using 4K facial images. : 2019 IEEE International Conference on Consumer Electronics, ICCE 2019., 8662095, 2019 IEEE International Conference on Consumer Electronics, ICCE 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Conference on Consumer Electronics, ICCE 2019, Las Vegas, United States, 19/1/11. https://doi.org/10.1109/ICCE.2019.8662095
Yasumaru M, Cheng Z, Yoloyama R, Knai K, Katto J. Accuracy evaluations of contact-free heart rate measurement mehods using 4K facial images. : 2019 IEEE International Conference on Consumer Electronics, ICCE 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8662095. (2019 IEEE International Conference on Consumer Electronics, ICCE 2019). https://doi.org/10.1109/ICCE.2019.8662095
Yasumaru, Masaki ; Cheng, Zhengxue ; Yoloyama, Ryota ; Knai, Kenji ; Katto, Jiro. / Accuracy evaluations of contact-free heart rate measurement mehods using 4K facial images. 2019 IEEE International Conference on Consumer Electronics, ICCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE International Conference on Consumer Electronics, ICCE 2019).
@inproceedings{172472725b854a75aae97ac65e63fbfc,
title = "Accuracy evaluations of contact-free heart rate measurement mehods using 4K facial images",
abstract = "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.",
keywords = "Heart rate estimation, Independent Component Analysis (ICA), RGB camera",
author = "Masaki Yasumaru and Zhengxue Cheng and Ryota Yoloyama and Kenji Knai and Jiro Katto",
year = "2019",
month = "3",
day = "6",
doi = "10.1109/ICCE.2019.8662095",
language = "English",
series = "2019 IEEE International Conference on Consumer Electronics, ICCE 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE International Conference on Consumer Electronics, ICCE 2019",

}

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

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

UR - http://www.scopus.com/inward/citedby.url?scp=85063790622&partnerID=8YFLogxK

U2 - 10.1109/ICCE.2019.8662095

DO - 10.1109/ICCE.2019.8662095

M3 - Conference contribution

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.

ER -