Analyzing and identifying predictable time range for stress prediction based on chaos theory and deep learning
Ningyun Li,
Huijun Zhang,
Ling Feng
et al.
Abstract:Propose
Stress is a common problem globally. Prediction of stress in advance could help people take effective measures to manage stress before bad consequences occur. Considering the chaotic features of human psychological states, in this study, we integrate deep learning and chaos theory to address the stress prediction problem.
Methods
Based on chaos theory, we embed one’s seemingly disordered stress sequence into a high dimensional phase space s… Show more
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