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<p>Mental stress, a psychophysiological state, has a negative impact on a person’s quality of life. To ameliorate mental and physical health, accurate detection of mental state can be propitious to deliver prevention and treatment for this disease. Subsequently, unobtrusive monitoring of physiological signals is made possible by deploying wearables in everyday life. In this context, this paper proposes a stress detection model by incorporating wearable sensors for detection purposes. Stress is detected using three crucial physiological sensors: blood pressure, heart rate, and breathing rate in this study. A methodology supporting five classifiers, capable of predicting cognitive degradation in performance is proposed to classify mental stress into five stages. In terms of accuracy, precision, f-measure, and recall, the IBK classifier outperforms all the other classifiers adopted in the simulation process. This model’s capacity to covertly identify mental stress may aid in reducing the number of accidents and lost productivity on the roadways.</p>

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Empirical stress prediction among drivers utilizing wearable sensors and psychometric signals: towards smart health

  • 期刊论文

  • 发表日期：

    2026年7月31日

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  • Karandeep Kaur

摘要

Mental stress, a psychophysiological state, has a negative impact on a person’s quality of life. To ameliorate mental and physical health, accurate detection of mental state can be propitious to deliver prevention and treatment for this disease. Subsequently, unobtrusive monitoring of physiological signals is made possible by deploying wearables in everyday life. In this context, this paper proposes a stress detection model by incorporating wearable sensors for detection purposes. Stress is detected using three crucial physiological sensors: blood pressure, heart rate, and breathing rate in this study. A methodology supporting five classifiers, capable of predicting cognitive degradation in performance is proposed to classify mental stress into five stages. In terms of accuracy, precision, f-measure, and recall, the IBK classifier outperforms all the other classifiers adopted in the simulation process. This model’s capacity to covertly identify mental stress may aid in reducing the number of accidents and lost productivity on the roadways.