IMod - Intelligent Concentration Monitoring and Warning System for Professional Drivers
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The consequences of tiredness, drowsiness, stress and lack of concentration cause by a variety of different factors such as illness, sleep depletion, drugs and alcohol is a serious problem in traffic and when operating industrial equipment. The aim of the project is to develop an intelligent system that can monitor and manage drivers’ level of inattention depending on psychological and behavioral conditions/status using different physiological sensor signals. The system will be developed combining different types of intelligent and signal processing techniques. The research will provide the basis for building a prototype system able to provide continuous monitoring of the parameters while driving and generate suitable information/alarm to alert the driver about their driving performance.
| First Name | Last Name | Title |
|---|---|---|
| Maria | Lindén | Professor |
| Mats | Björkman | Professor |
| Mobyen Uddin | Ahmed | Professor |
| Peter | Funk | Professor |
| Shahina | Begum | Professor |
Physiological Sensor Signals Classification for Healthcare using Sensor Data Fusion and Case-Based Reasoning (Jul 2014) Shahina Begum, Shaibal Barua, Mobyen Uddin Ahmed Sensors (Special Issue on Sensors Data Fusion for Healthcare) (Sensors)
Classification of Physiological Signals for Wheel Loader Operators Using Multi-Scale Entropy Analysis and Case-Based Reasoning (Feb 2014) Shahina Begum, Shaibal Barua, Reno Filla , Mobyen Uddin Ahmed Expert Systems with Applications
Case Studies on the Clinical Applications using Case-Based Reasoning (Sep 2012) Mobyen Uddin Ahmed, Shahina Begum, Peter Funk 7th International Symposium Advances in Artificial Intelligence and Applications (AAIA12)
Driver’s Mental State Monitoring System Using CBR Based on Heart Rate Variability Analysis (Sep 2012) Shahina Begum, Mobyen Uddin Ahmed, Peter Funk, Reno Filla 7th International Symposium Advances in Artificial Intelligence and Applications (AAIA12)
Multi-Scale Entropy Analysis and Case-Based Reasoning to Classify Physiological Sensor Signals (Sep 2012) Shahina Begum, Mobyen Uddin Ahmed, Shaibal Barua workshop on CBR in the Health Sciences at 20th International Conference on Case-Based Reasoning, ICCBR12
An Overview of three Medical Applications Hybrid Case-Based Reasoning (Jun 2012) Mobyen Uddin Ahmed, Shahina Begum, Peter Funk International Workshop Case-Based Reasoning CBR-MD 2012
| Partner | Type |
|---|---|
| Volvo Construction Equipment AB | Industrial |
