Smart Sleep Scheduling

Devaraja, Yasiru Lakruwan

dc.contributor.advisor
dc.contributor.author	Devaraja, Yasiru Lakruwan
dc.date.accessioned	2020-06-02T13:13:04Z
dc.date.available	2020-06-02T13:13:04Z
dc.date.issued	2019
dc.identifier.citation	Devaraja, Yasiru Lakruwan(2019) Smart Sleep Scheduling. BSc. Dissertation Informatics Institute of Technology	en_US
dc.identifier.other	2015090
dc.identifier.uri	http://dlib.iit.ac.lk/xmlui/handle/123456789/463
dc.description.abstract	The purpose of this research is to understand the effectiveness of incorporating machine learning and data obtained from wearable devices to provide users the means to improve sleep quality. Sleep deprivation has been a prevailing issues among college students and workers. Hence to improve the prevailing issue machine learning and wearable devices were used to suggest bedtime and wake up time to improve sleep duration to match the standards of the sleep durations suggested by health organisations across the globe.	en_US
dc.subject	Machine Learning	en_US
dc.subject	Sleep Quality	en_US
dc.subject	Sleep Deprivation	en_US
dc.title	Smart Sleep Scheduling	en_US
dc.type	Thesis	en_US