[1N2-IS-5a] Human interface, education aid (1/2)

[1N2-IS-5a-03] Correlation analysis between the learning concentration estimated by EEG and the body motion measured by image sensors

〇Keita SHIMADA¹, Shinji CHIBA², Yusuke YOKOTA³, Yasushi NARUSE³, Ikuko Eguchi YAIRI¹ (1. Sophia University, 2. Microsoft Japan Co., Ltd., 3. National Institute of Information and Communications Technology)

Keywords:Learning Concentration, Azure Kinect DK, EEG, ASSR

The purpose of this study is to develop a quantitative measurement method for humans' concentration on learning using an image sensor.This paper investigated the correlation between the concentration obtained by EEG measurement and the body motion obtained by the image sensor. The brain workload calculated from the EEG measurement results was used to measure the degree of learning concentration. The auditory steady-state response (ASSR) was used to estimate the workload. Two Kinects as the image sensor were used for the body motion measurement, and one was placed in front of the subject (Master) and the other was on the left hand side (Sub). Eleven healthy Japanese people participated in the experiment. The correlation between the calculated workload and the body motion information was investigated for two learning tasks. As a result, we succeeded in statistically showing the body parts that have a huge relation to the degree of learning concentration. In the future, we aim to develop algorithms and implement software application that can quantify the degree of learning concentration using only one Kinect.