SafeDriver: A Real Time Driver's State Monitoring and Prediction System



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In order to prevent road crashes caused by human error it is very much necessary to develop systems that monitor factors such as alcohol, sleepiness, distraction, stress, and fatigue including physical health conditions. All these factors contribute to human errors and can result in accidents on the road. The proposed project will provide tools for the development of safety systems including a basis to continuously monitor and predict driver’s mental and physical (health) situation and based on these, can carry out suitable counter measurements to prevent/reduce accidents. Due to the latest advances in car development, these solutions can be implemented in future cars. Also, people are more aware of their own safety than they were previously and such solutions will be welcomed gradually by more safety aware drivers.

Shahina Begum, Professor

Room: U1-089
Phone: +46-21-107370