Exploring Early Stress Detection from Multimodal Time Series with Deep Reinforcement Learning
Author:
Affiliation:
1. University Campus Bio-Medico of Rome,Unit of Computer Systems & Bioinformatics,Department of Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385549.pdf?arnumber=10385549
Reference11 articles.
1. Stress: Definition and history;Fink;Stress science: neuroendocrinology,2010
2. A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques
3. A Deep Reinforcement Learning Approach for Early Classification of Time Series
4. A Non-EEG Biosignals Dataset for Assessment and Visualization of Neurological Status
5. A survey of machine learning techniques in physiology based mental stress detection systems
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