UAED: Unsupervised Abnormal Emotion Detection Network Based on Wearable Mobile Device-Reference-Cited by-同舟云学术

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UAED: Unsupervised Abnormal Emotion Detection Network Based on Wearable Mobile Device

Published:2023 Issue: Volume: Page:1-14
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Zhu Jiaqi¹^ORCID,Deng Fang¹^ORCID,Zhao Jiachen¹^ORCID,Liu Daoming²,Chen Jie³^ORCID

Affiliation:

1. Department of Automation, Beijing Institute of Technology, Beijing, China

2. Beijing Institute of Technology Chongqing Innovation Center, Chongqing, China

3. Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China

Funder

National Science Fund for Distinguished Young Scholars of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/6930788/10113694.pdf?arnumber=10113694

Reference52 articles.

1. Classification of acute stress using linear and non-linear heart rate variability analysis derived from sternal ECG

2. Personalized stress detection from physiological measurements;shi;Proc Int Symp Qual Life Technol,0

3. Deep Physiological Arousal Detection in a Driving Simulator Using Wearable Sensors

4. Towards Stress Detection in Real-Life Scenarios Using Wearable Sensors: Normalization Factor to Reduce Variability in Stress Physiology

5. Behavioral and Physiological Signals-Based Deep Multimodal Approach for Mobile Emotion Recognition

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