PupilHeart: Heart Rate Variability Monitoring via Pupillary Fluctuations on Mobile Devices-Reference-Cited by-同舟云学术

PupilHeart: Heart Rate Variability Monitoring via Pupillary Fluctuations on Mobile Devices

Published:2023-10-15 Issue:20 Volume:10 Page:18042-18053
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Shen Xiangyu¹^ORCID,Jiang Hongbo¹^ORCID,Liu Daibo¹^ORCID,Yang Kehua¹^ORCID,Deng Feiyang²^ORCID,Zhang Taiyuan¹^ORCID,Xiao Zhu¹^ORCID,Lui John C. S.³^ORCID,Liu Jiangchuan⁴^ORCID,Dustdar Schahram⁵^ORCID,Luo Jun⁶^ORCID

Affiliation:

1. College of Computer Science and Electronic Engineering, Hunan University, Changsha, Hunan, China

2. Chow Yei Ching School of Graduate Studies, City University of Hong Kong, Kowloon Tong, Hong Kong

3. Computer Science and Engineering Department, The Chinese University of Hong Kong, Shatin, Hong Kong

4. School of Computing Science, Simon Fraser University, Burnaby, BC, Canada

5. Department of Computer Science, TU Wien, Vienna, Austria

6. School of Computer Engineering, Nanyang Technological University, Jurong West, Singapore

Funder

National Natural Science Foundation of China

National Social Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/10269651/10129085.pdf?arnumber=10129085

Reference55 articles.

1. Evaluation of the beat-to-beat detection accuracy of PulseOn wearable optical heart rate monitor

2. Heart Monitor Using Flexible Capacitive ECG Electrodes

3. Arousal Effects on Pupil Size, Heart Rate, and Skin Conductance in an Emotional Face Task

4. Stop Deceiving! An effective Defense Scheme against Voice Impersonation Attacks on Smart Devices

5. Lightweight Deep Learning Model in Mobile-Edge Computing for Radar-Based Human Activity Recognition

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