Deep-Learning Technique for Risk-based Action Prediction Using Extremely Low-Resolution Thermopile Sensor Array-Reference-Cited by-同舟云学术

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Deep-Learning Technique for Risk-based Action Prediction Using Extremely Low-Resolution Thermopile Sensor Array

Published:2022 Issue: Volume: Page:1-1
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Morawski Igor¹,Lie Wen-Nung²^ORCID,Aing Lee¹^ORCID,Chiang Jui-Chiu²^ORCID,Chen Kuan-Ting¹

Affiliation:

1. Department of Electrical Engineering, National Chung Cheng University (CCU), Chiayi, Taiwan

2. Department of Electrical Engineering, Center for Innovative Research on Aging Society (CIRAS), and Advanced Institute of Manufacturing with High-tech Innovations (AIM-HI), National Chung Cheng University (CCU), Chiayi, Taiwan

Funder

Ministry of Education, Taiwan

Ministry of Science and Technology, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/4358651/09984669.pdf?arnumber=9984669

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Electronic Skin for Health Monitoring Systems: Properties, Functions, and Applications;Advanced Materials;2024-05-22

2. Heart Rate Estimation from Facial Image Sequences of a Dual-Modality RGB-NIR Camera;Sensors;2023-07-01

3. Advances in Skeleton-Based Fall Detection in RGB Videos: From Handcrafted to Deep Learning Approaches;IEEE Access;2023

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