@inproceedings{8b51a40e95ac4c08a824fbb38548029c,
title = "Smartphone Sensors to Measure Individual Sleeping Pattern: Experimental Study",
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{\textquoteright}s day to day sleeping pattern based on screen on/off events, its accuracy evaluated and further improved on.",
author = "Doaa Alamoudi and Emma Breeze and Crawley, \{Esther M\} and Ian Nabney",
year = "2023",
month = feb,
day = "18",
doi = "10.5220/0011895100003414",
language = "English",
volume = "1",
series = "Biomedical Engineering Systems and Technologies - (Biostec)",
publisher = "SciTePress",
pages = "206--210",
booktitle = "Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies",
}