Smart-pillow: An IoT based device for stress detection considering sleeping habits

Rachakonda, L and Mohanty, SP and Kougianos, E and Karunakaran, K and Ganapathiraju, M (2019) Smart-pillow: An IoT based device for stress detection considering sleeping habits. In: 4th IEEE International Symposium on Smart Electronic Systems, iSES 2018, 17-19 December 2018, Hyderabad, pp. 161-166.

PDF iSES_2018.pdf - Published Version Restricted to Registered users only Download (206kB) | Request a copy

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.

Item Type:	Conference Paper
Publication:	Proceedings - 2018 IEEE 4th International Symposium on Smart Electronic Systems, iSES 2018
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Automation; Blood pressure; Eye movements; Internet of things; Physiological models; Stresses, Internet of Things (IOT); Sleeping Habit; Smart homes; Smart livings; Stress detection, Sleep research
Department/Centre:	Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre
Date Deposited:	08 Aug 2022 04:58
Last Modified:	08 Aug 2022 04:58
URI:	https://eprints.iisc.ac.in/id/eprint/75467

Actions (login required)

View Item