Context-Aware Mobile Sensing for Safe Driving
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
afe driving has always been an important topic since the begging of vehicle era. Over the years, vehicles have improved regarding the safety aspects. Studies showed that, most traffic accidents are caused due to human error. Statistics in Europe show that approximately 10-20% of all traffic accidents are due to diminished vigilance of drivers due to, e.g., fatigue or negative emotion.
Previous research has demonstrated that not only does listening to suitable music while driving not impair driving performance, but it could lead to an improved mood and a more relaxed body state (e.g., decreasing the high breath rates of drivers when they are fatigued), which could improve driving performance and promote safe driving significantly.
This thesis will try to explore how smartphones could help drivers by playing the correct music back to them. Nowadays, smartphones' capabilities are extremely high thus, makes them a perfect development platform. The thesis will present a mobile application that analyzes the driving based on sensor data.
Different user tests were performed to validate that the application is promoting safe driving by playing the correct music to the driver.
Place, publisher, year, edition, pages
2015. , 50 p.
Engineering and Technology
IdentifiersURN: urn:nbn:se:uu:diva-249149OAI: oai:DiVA.org:uu-249149DiVA: diva2:802043
Master Programme in Computer Science
Elsts, AtisPearson, Justin