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.
|First Name||Last Name||Title|
|Mobyen Uddin||Ahmed||Associate Professor|
Non-contact-based Driver's Cognitive Load Classification using Physiological and Vehicular Parameters (Nov 2019) Hamidur Rahman, Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum Biomedical Signal Processing and Control (BSPC)
Non-contact Physiological Parameters Extraction using Facial Video considering Illumination, Motion, Movement and Vibration (May 2019) Hamidur Rahman, Mobyen Uddin Ahmed, Shahina Begum IEEE Transactions on Biomedical Engineering (TBME)
Automated EEG Artifact Handling with Application in Driver Monitoring (Nov 2017) Shaibal Barua, Mobyen Uddin Ahmed, Christer Ahlström , Shahina Begum, Peter Funk IEEE Journal of Biomedical and Health Informatics (J-BHI)
Vision-Based Remote Heart Rate Variability Monitoring using Camera (Oct 2017) Hamidur Rahman, Mobyen Uddin Ahmed, Shahina Begum 4th EAI International Conference on IoT Technologies for HealthCare (HealthyIoT'17)
Deep Learning based Person Identification using Facial Images (Oct 2017) Hamidur Rahman, Mobyen Uddin Ahmed, Shahina Begum 4th EAI International Conference on IoT Technologies for HealthCare (HealthyIoT'17)