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Title: :  MACHINE LEARNING-BASED STRESS DETECTION USING PHYSIOLOGICAL SIGNALS FROM WEARABLE SENSORS
PaperId: :  27094
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 4 2025
DUI:    16.0415/IJARIIE-27094
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Akash S K CMR University

Abstract

Computer Science and Engineering
Stress Detection, Machine Learning, Wearable Sensors, WESAD Dataset, Deep Neural Network, HRV, EDA, RESP
Stress significantly impacts both mental and physical health, emphasizing the need for a reliable, real-time, and scalable detection system. Traditional approaches, such as self-reported questionnaires, are often subjective and lack immediacy. This research presents a machine learning-based framework for stress detection using physiological signals—specifically heart rate variability (HRV), electrodermal activity (EDA), and respiration rate (RESP)—captured through wearable sensors. The WESAD dataset is used for extensive data preprocessing and feature extraction, followed by the implementation of three classification models: Random Forest (RF), Support Vector Machine (SVM), and Deep Neural Network (DNN). Model performance is evaluated using leave-one-subject-out cross-validation, with metrics such as accuracy, F1-score, and ROC-AUC. Among the tested models, the DNN achieved the highest accuracy of 91.5% and an F1-score of 0.91. These results highlight the effectiveness of wearable sensor-based machine learning systems for real-time stress detection and continuous health monitoring.

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IJARIIE Akash S K. "MACHINE LEARNING-BASED STRESS DETECTION USING PHYSIOLOGICAL SIGNALS FROM WEARABLE SENSORS" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 4 2025 Page 541-545
MLA Akash S K. "MACHINE LEARNING-BASED STRESS DETECTION USING PHYSIOLOGICAL SIGNALS FROM WEARABLE SENSORS." International Journal Of Advance Research And Innovative Ideas In Education 11.4(2025) : 541-545.
APA Akash S K. (2025). MACHINE LEARNING-BASED STRESS DETECTION USING PHYSIOLOGICAL SIGNALS FROM WEARABLE SENSORS. International Journal Of Advance Research And Innovative Ideas In Education, 11(4), 541-545.
Chicago Akash S K. "MACHINE LEARNING-BASED STRESS DETECTION USING PHYSIOLOGICAL SIGNALS FROM WEARABLE SENSORS." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 4 (2025) : 541-545.
Oxford Akash S K. 'MACHINE LEARNING-BASED STRESS DETECTION USING PHYSIOLOGICAL SIGNALS FROM WEARABLE SENSORS', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, 2025, p. 541-545. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/MACHINE_LEARNING_BASED_STRESS_DETECTION_USING_PHYSIOLOGICAL_SIGNALS_FROM_WEARABLE_SENSORS_ijariie27094.pdf (Accessed : ).
Harvard Akash S K. (2025) 'MACHINE LEARNING-BASED STRESS DETECTION USING PHYSIOLOGICAL SIGNALS FROM WEARABLE SENSORS', International Journal Of Advance Research And Innovative Ideas In Education, 11(4), pp. 541-545IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/MACHINE_LEARNING_BASED_STRESS_DETECTION_USING_PHYSIOLOGICAL_SIGNALS_FROM_WEARABLE_SENSORS_ijariie27094.pdf (Accessed : )
IEEE Akash S K, "MACHINE LEARNING-BASED STRESS DETECTION USING PHYSIOLOGICAL SIGNALS FROM WEARABLE SENSORS," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 4, pp. 541-545, Jul-Aug 2025. [Online]. Available: http://ijariie.com/AdminUploadPdf/MACHINE_LEARNING_BASED_STRESS_DETECTION_USING_PHYSIOLOGICAL_SIGNALS_FROM_WEARABLE_SENSORS_ijariie27094.pdf [Accessed : ].
Turabian Akash S K. "MACHINE LEARNING-BASED STRESS DETECTION USING PHYSIOLOGICAL SIGNALS FROM WEARABLE SENSORS." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 4 ().
Vancouver Akash S K. MACHINE LEARNING-BASED STRESS DETECTION USING PHYSIOLOGICAL SIGNALS FROM WEARABLE SENSORS. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(4) : 541-545. Available from: http://ijariie.com/AdminUploadPdf/MACHINE_LEARNING_BASED_STRESS_DETECTION_USING_PHYSIOLOGICAL_SIGNALS_FROM_WEARABLE_SENSORS_ijariie27094.pdf
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