Detection of a Decrease in Concentration Using Indices Derived from Heart Rate and Respiration Toward Affective Human-Robot Interaction
Authors: Mieko Ohsuga, Hidenori Boutani
Abstract: The present paper refers the method to detect the degraded concentration of human who is engaged in computer work or watching television in order to find the appropriate timing for robot’s interrupt. The heart rate and respiratory measures were confirmed to change depending on the degree of concentration by an experiment. Principle component analysis was applied and two measure components were selected and rotated by the varimax method. The first principle component represented large low frequency component of heart rate variability (HRV), low respiratory frequency and large respiratory irregularity, while the second component represented high heart rate, small high frequency component of HRV. It was suggested that the first principle component can be used to discriminate between concentrated and degraded concentrated sates of human.
Keywords: Human-robot interaction, Affective interface, Human state estimation, Heart rate variability, Respiration
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