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.
Institutions
- SRM University (IN)
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
- 0.00