IoT based Circadian Rhythm Monitoring using Fuzzy Logic

K. Sornalakshmi, Revathi Venkataraman, N. Parthiban, V. Kavitha

Abstract

A healthy body and happy mind is essential to lead a successful life. For the betterment of health, it is important to develop positive health habits. The human body has a 24-hour internal clock called circadian rhythm that can be affected by our lifestyle. It is a natural intelligence of the human body to perform certain tasks including hormone secretion, memory functions, immune system functions, etc. during certain periods of the day. This rhythm is synchronized with the light and dark cycle of the environment. However, when there are variations in light, sleeping at unusual times, exposure to bright lights at night and traveling across time zones, certain functions of the body may get activated and deactivated at inappropriate times. With smart devices, the Internet of Things (IoT) has a great impact on our everyday lives. Healthcare IoT systems use the data provided by the IoT devices to make automated decisions or to provide recommendations to users. This work is concerned with a health IoT system consisting of different IoT devices used by users who want to know about their circadian rhythms. In addition to this, fuzzy logic has been used to evaluate the circadian rhythm based on the effects of the time at which an individual starts to sleep, wake up time and mobile light exposure time. It classifies the circadian rhythm as aligned, intermediate and disrupted.

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Paper Citation


in Harvard Style

Sornalakshmi K., Venkataraman R., Parthiban N. and Kavitha V. (2021). IoT based Circadian Rhythm Monitoring using Fuzzy Logic. In Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-504-3, pages 223-228. DOI: 10.5220/0010451502230228


in Bibtex Style

@conference{iotbds21,
author={K. Sornalakshmi and Revathi Venkataraman and N. Parthiban and V. Kavitha},
title={IoT based Circadian Rhythm Monitoring using Fuzzy Logic},
booktitle={Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2021},
pages={223-228},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010451502230228},
isbn={978-989-758-504-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - IoT based Circadian Rhythm Monitoring using Fuzzy Logic
SN - 978-989-758-504-3
AU - Sornalakshmi K.
AU - Venkataraman R.
AU - Parthiban N.
AU - Kavitha V.
PY - 2021
SP - 223
EP - 228
DO - 10.5220/0010451502230228