Smart-Pillow: An IoT Based Device for Stress Detection Considering Sleeping Habits

Abstract

The quality of sleep during the night reflects on productivity during the day. To make the most out of a day, it is important to understanding the factors such as stress which impair sleep. Advances in technologies may aid a person to self-analyze such situations. For this, we propose a system which helps in stressfulness of a person based on sleeping habits. Physiological parameters such as temperature, blood pressure, respiration rate, and heart rate tend to vary during the NREM (Non Rapid Eye Movement) and REM (Rapid Eye Movement) stages of sleep. Non-physiological parameters such as the number of sleeping hours, the range of snoring, the sleeping position, and environmental conditions can also affect the quality of sleep. These factors are considered here in order to analyze sleeping habits. A system is defined which can predict stress levels up to five states: High, Medium-High, Medium, Medium-Low and Low stress.