Research presented at International Symposium on AVEC12

 

Research presented at International Symposium on AVEC12

 

The DGIST HumanLAB research scientist Joonwoo Son, Ph.D., research associate Myoungouk Park and Hosang Oh, presented their findings at the 11th International Symposium on Advanced Vehicle Control (AVEC12) in Seoul, Korea on September 10, 2012.

Their presentation, entitled "Detecting Cognitive Workload Using Driving Performance and Eye Movement in a Driving Simulator," represented to develop cognitive workload estimation algorithm using Radial Basis Probabilistic Neural Network (RBPNN) with driving performance and eye movement data. The result demonstrated that the proposed RBPNN models were able to differentiate driver’s high cognitive workload from the normal driving with high accuracy. The best performance was achieved with a combination of standard deviation of lane position (SDLP) and gaze dispersion of X and Y coordinates over 30 seconds time window. The highest cognitive workload detection accuracy rate in overall model performance was 85.0%.