Remote Mental Workload Estimation by a Bioradar

Abstract

this work presents a new unobtrusive technique for remote mental workload estimation by a bioradar. The study explores the relationship between mental workload and variation of respiration and heartbeat patterns. The experiments were conducted in laboratory conditions. During the experiments, volunteers were asked to perform a mental arithmetic task. The information about variation of vital signs registered by a bioradar was used to detect the presence of mental workload. We achieved an accuracy of 0.87 and Cohen's kappa of 0.75 in the calm state/mental workload classification.