Study of Feasibility in Determining Correlation between Risk
Driving Score & Electrocardiography for Enhancing Safe
Car accident causes loss in both people lives and properties which conforms to statistic reports. The one of the main causes of this accident is human such as driving while being drunk, being exhausted, being careless, or being in the improper body conditions. Thus, this research is focused on studying feasibility in determining correlation between the risk of human driving behaviors, which can be calculated in to Risk Driving Score (RDS), and heart’s electrical wave, which is normally called Electrocardiography (ECG), because ECG could indicate many human body conditions. RDS is determined from the algorithm which consider car dynamics data such as velocity, longitudinal and lateral acceleration. If the correlation between RDS and ECG could be determined, traffic collisions which are caused by any human body disorders would be detected beforehand and has more change to prevent the accident. Having designed many driving scenarios in the driving simulator, the researchers examined subjects’ reactions through an ECG measuring device and compared with the designed scenarios. Due to variations of ECG which depend on each subject and would affect the correlation, the researchers had to collect and include each subject’s personal data into the study. Then, subject ECG’ reactions were investigated with each subject’s driving data, which are velocity and acceleration, to determine the correlation. The result was that significant correlation between RDS and ECG is still not obviously discovered due to the limitations of the driving simulator which cannot perfectly produce the realistic motions and scenarios so that the reactions of driving and ECG were not get along together. However, researchers hope that this research would be the first step of study in determining correlation between body organs reactions and risk driving behavior which could lead to automotive-preventive systems that could help reducing traffic collisions to the least or lead to implementation in the insurance industry.