Towards Artificial Intelligence Driven Stress monitoring for mental wellbeing tracking During COVID-19

Jesmin, S.; Kaiser, M. S.; Mahmud, M.

The stresses and patterns of life are often demanding and require physical and psychological actions to support themselves. An individual responds to mental stresses that is potentially detrimental to health. The mental stress may result hormonal imbalance and noxious stimulus in the body. The 2 (SARS-COV-2) or COVID-19 infection not only stopped people's daily routine, but also created many political, social, financial, psychological and health problems. Mental stress has become common during this pandemic with limited opportunity to reach outhealth professionals in person. We have proposed artificial intelligence driven cloud based self-stress detection model which takes physiological signals such as Galvanic Skin Response, Heart Rate Variability, Peripheral Capillary Oxygen Saturation to determine the stress level. The sensors are embedded into a wearable device and collects physiological signals and thereby detect stress level of an individual. Finally, we have also suggested some recommendations to manage stress for any individual during COVID-19 for their wellbeing.