Fuzzy Filtering Based Mental Stress Assessment
This project presented a novel method of heart rate signal analysis for stress assessment using fuzzy clustering and robust identification techniques. The emphasis of this study was to handle the uncertainties, arising due to a difference in the physiological behavior of individuals (because of different body conditions, age, gender, and so on), using a fuzzy model. The experiments involved 38 physically fit subjects (26 male, 12 female, aged 18-29 years) in air traffic control task simulations. The subjective rating scores of mental workload were assessed using NASA Task Load Index. Fuzzy clustering methods were used to model the experimental data. Further, a robust fuzzy identification technique was used to handle the uncertainties due to individual variations for the assessment of mental stress.