Towards Enhanced Well-Being: Monitoring Stress and Health with Smart Sensor Systems

• Published in: 2023 International Conference Automatics and Informatics (ICAI) pp. 432 - 437
• Main Authors: Shahid, Muhammad Moazam, Agada, Georgina Enuwa, Kayyali, Mohammed, Ihianle, Isibor Kennedy, Machado, Pedro
• Format: Conference Proceeding
• Language: English
• Published: IEEE 05.10.2023
• Subjects: Biomedical monitoring; Biosensors; Cloud computing; Human factors; internet of things; machine learning; Older adults; physiological signals; Psychology; Real-time systems; stress; thermal comfort; wearable device
• DOI: 10.1109/ICAI58806.2023.10339032

Human well-being is significantly impacted by stress, which can be caused by physical or psychological triggers. To address this, the integration of body-worn and environmental sensors can be used to monitor physiological biomarkers and predict health outcomes, especially for vulnerable persons and the elderly living independently. This paper proposes a personalised smart system that is designed to monitor and visually represent health status in order to enhance health and mental well-being. The proposed cloud-based system uses physiological and environmental data to detect and monitor stress in real time. The results are displayed on a dashboard, indicating stress levels. These continuous insights facilitate ongoing health monitoring and personalised thermal comfort provision for elderly individuals, enabling timely interventions in abnormal situations and ultimately improving their quality of life.