Physiological and Psychological-Based Emotion Detection for Cognitive Analysis

  • Unique Paper ID: 174734
  • PageNo: 505-511
  • Abstract:
  • It is crucial for the preparation of soldiers, both physically and mentally, in their ability to perform military operations. This project aims to create a system to assess soldiers' emotional and psychological status by examining physiological factors (heart rate, skin conductance, respiratory rate, blood pressure, and body temperature). The information collected will be stored, processed, and categorized using a Support Vector Regression (SVR) technique for emotional classification (stress, anger, happiness, and relaxation). The identified feelings will be organized to formulate a cognitive-emotional grade to reflect the soldier's current mental status. This assignment will then be used to suggest suitable tasks and work potential environments compatible with the emotional and mental state of the soldier. The project will consider each dimension of a soldier's preparation (physical, cognitive, and ethical), so they may continue to perform effectively and be motivated to complete tasks. Additionally, it will enable military leaders to make educated recommendations to regarding task assignment and provision of environments that will maximize individual performance and overall military operational effectiveness.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{174734,
        author = {Remella V N L J L Sahitya and Mr. A. Venu Gopal and Malluru Aswitha and Nadipalli Jahnavi and P M P S Sridhar Reddy},
        title = {Physiological and Psychological-Based Emotion Detection for Cognitive Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {505-511},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174734},
        abstract = {It is crucial for the preparation of soldiers, both physically and mentally, in their ability to perform military operations. This project aims to create a system to assess soldiers' emotional and psychological status by examining physiological factors (heart rate, skin conductance, respiratory rate, blood pressure, and body temperature). The information collected will be stored, processed, and categorized using a Support Vector Regression (SVR) technique for emotional classification (stress, anger, happiness, and relaxation). The identified feelings will be organized to formulate a cognitive-emotional grade to reflect the soldier's current mental status. This assignment will then be used to suggest suitable tasks and work potential environments compatible with the emotional and mental state of the soldier. The project will consider each dimension of a soldier's preparation (physical, cognitive, and ethical), so they may continue to perform effectively and be motivated to complete tasks. Additionally, it will enable military leaders to make educated recommendations to regarding task assignment and provision of environments that will maximize individual performance and overall military operational effectiveness.},
        keywords = {Soldier Preparation, Military Performance, Psychological Assessment, Physiological Factors, Emotional Classification, Support Vector Regression, Machine Learning, Cognitive-Emotional Grade, Stress Classification, Decision Support System},
        month = {March},
        }

Cite This Article

Sahitya, R. V. N. L. J. L., & Gopal, M. A. V., & Aswitha, M., & Jahnavi, N., & Reddy, P. M. P. S. S. (2025). Physiological and Psychological-Based Emotion Detection for Cognitive Analysis. International Journal of Innovative Research in Technology (IJIRT), 11(11), 505–511.

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