Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study

Doaa Alamoudi, Ian Nabney, Esther Crawley

2023

Abstract

The wide spread of using smartphone sensors to measure several health parameters such as collecting and tracking individual activities, sleeping patterns and data, enables doctors to provide personalised treatment. This paper discussed the use of smartphone sensors to track insomnia. The SleepTracker app was developed to test the ability to track an individual’s day to day sleeping pattern based on screen on/off events, its accuracy evaluated and further improved on.

Paper Citation

in Harvard Style

Alamoudi D., Nabney I. and Crawley E. (2023). Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 1: BIODEVICES; ISBN 978-989-758-631-6, SciTePress, pages 206-210. DOI: 10.5220/0011895100003414

in Bibtex Style

@conference{biodevices23,
author={Doaa Alamoudi and Ian Nabney and Esther Crawley},
title={Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study},
booktitle={Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 1: BIODEVICES},
year={2023},
pages={206-210},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011895100003414},
isbn={978-989-758-631-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) - Volume 1: BIODEVICES
TI - Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study
SN - 978-989-758-631-6
AU - Alamoudi D.
AU - Nabney I.
AU - Crawley E.
PY - 2023
SP - 206
EP - 210
DO - 10.5220/0011895100003414
PB - SciTePress