Wake Me App

dc.contributor.author	Ainebyona, Donald
dc.contributor.author	Kahigiriza, Peter Warren
dc.contributor.author	Kyobweine, Prisca Bikangaga
dc.date.accessioned	2020-01-03T14:45:01Z
dc.date.available	2020-01-03T14:45:01Z
dc.date.issued	2019-07
dc.description	A project report submitted in Partial fulfillment of the Requirements for the award of a degree of Bachelor of Science in Computer Science of Makerere University	en_US
dc.description.abstract	Drowsiness is one of the major causes of accidents. The most important aspect to consider when one is driving is the driver's condition, which involves staying focused on the road. A large number of research studies have been conducted to reduce the risk of accidents while driving, primarily focusing on the physical conditions of the driver e.g. movement of the head. On this basis, this research is focused on the driver's heart rate by using pulse sensors. This is measured with the variation of the heart rate (HRV - Heart Rate Variability) in order to analyze and detect drowsiness in drivers. Our main goal is to avoid accidents derived from fatigue byusing an alarm system to keep drivers focused on the road.	en_US
dc.identifier.uri	http://hdl.handle.net/20.500.12281/8064
dc.language.iso	en	en_US
dc.publisher	Makerere University	en_US
dc.subject	Drowsiness	en_US
dc.subject	Drowsiness detection system.	en_US
dc.subject	Wake me App	en_US
dc.title	Wake Me App	en_US
dc.type	Thesis	en_US