Multimodal Approaches of Mental Stress Detection: A Comparative Study

Recently mental health has been regarded as an important issue with stress being one of the factors behind manyhealth conditions. Prompt detection of mental stress is critical in preventing chronic conditions. Artificial intelligence has beenhelping to fight against chronic stress and tension. This study provides a review of the current understanding of stress andartificial intelligence as well as the approaches for overcoming it with AI algorithms. Some of the approaches studied indevelopment include LSTM networks self-organizing maps and natural language processing applied to datasets. Thecomparative analysis of these methods enables us to determine the most successful approaches their limitations and ways inwhich they can be improved.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-24
DOI
https://doi.org/10.5281/zenodo.16410130
Primary Topic
Cell Adhesion Molecules Research
Type
article
Field-Weighted Citation Impact
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article

Multimodal Approaches of Mental Stress Detection: A Comparative Study

Zenodo (CERN European Organization for Nuclear Research)
Cell Adhesion Molecules Research
article

Multimodal Approaches of Mental Stress Detection: A Comparative Study

article en

Abstract

Recently mental health has been regarded as an important issue with stress being one of the factors behind manyhealth conditions. Prompt detection of mental stress is critical in preventing chronic conditions. Artificial intelligence has beenhelping to fight against chronic stress and tension. This study provides a review of the current understanding of stress andartificial intelligence as well as the approaches for overcoming it with AI algorithms. Some of the approaches studied indevelopment include LSTM networks self-organizing maps and natural language processing applied to datasets. Thecomparative analysis of these methods enables us to determine the most successful approaches their limitations and ways inwhich they can be improved.

Zenodo (CERN European Organization for Nuclear Research)
SRM University (IN)
Quality Education
Openalex Percentile: Top 40%
Cell Adhesion Molecules Research
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