Correlation analysis between the learning concentration estimated by EEG and the body motion measured by image sensors

• SHIMADA Keita

  Sophia University

• CHIBA Shinji

  Microsoft Japan Co., Ltd.

• YOKOTA Yusuke

  National Institute of Information and Communications Technology

• NARUSE Yasushi

  National Institute of Information and Communications Technology

• YAIRI Ikuko Eguchi

  Sophia University

抄録

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.

収録刊行物

• 人工知能学会全国大会論文集

  人工知能学会全国大会論文集 JSAI2021 (0), 1N2IS5a03-1N2IS5a03, 2021

  一般社団法人 人工知能学会

キーワード

• Learning Concentration
• Azure Kinect DK
• EEG
• ASSR

詳細情報

• CRID: 1390569845477308672
• NII論文ID: 130008051651
• DOI: 10.11517/pjsai.jsai2021.0_1n2is5a03
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可