Accurate Mental Stress Detection Using Sequential Backward Selection and Adaptive Synthetic Methods-Reference-Cited by-同舟云学术

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Accurate Mental Stress Detection Using Sequential Backward Selection and Adaptive Synthetic Methods

Published:2024 Issue: Volume:32 Page:3095-3103
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Tseng Hui-Chun¹^ORCID,Tai Kuang-Yi¹^ORCID,Ma Yu-Zheng¹^ORCID,Van Lan-Da¹,Ko Li-Wei²^ORCID,Jung Tzyy-Ping³^ORCID

Affiliation:

1. Department of Computer Science, NYCU, Hsinchu, Taiwan

2. Department of Electronics and Electrical Engineering, NYCU, Institute of Electrical and Control Engineering, Hsinchu, Taiwan

3. Institute for Neural Computation, the Institute of Engineering in Medicine, and the Department of Bioengineering, University of California at San Diego, San Diego, CA, USA

Funder

Ministry of Science and Technology (NSTC), Taiwan

Yushan Fellowship from the Ministry of Education of Taiwan

NSF of USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/7333/10398877/10643212-aam.pdf

Reference37 articles.

1. Objective measures, sensors and computational techniques for stress recognition and classification: A survey

2. Automatic stress detection in car drivers based on non-invasive physiological signals using machine learning techniques

3. Attention based hybrid deep learning model for wearable based stress recognition

4. Emotions Recognition Using EEG Signals: A Survey

5. A Review on Mental Stress Assessment Methods Using EEG Signals

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