TY - GEN
T1 - Brain's Stress Observation System Using 2-Channels NIRS Based on Classroom Activity
AU - Sunthad, Kant
AU - Niitsu, Yoshihiro
AU - Inoue, Masahiro
AU - Yokemura, Taketoshi
N1 - Funding Information:
supported by JSPS KAKENHI Grant
Publisher Copyright:
© 2019 IEEE.
PY - 2019/3/6
Y1 - 2019/3/6
N2 - In classroom, teachers have a role to impart education and encourage learning to their students. More teachers are using various activities to make students keep focus on class but in the real situation teachers are facing a difficulty to make all student keep attention, because each student's mental activity and personal problem are different [1]. To improve classroom management, we proposed a method to make teachers are able to keep monitoring and analyzing student's brain stress level by using 2-channels near-infrared spectroscopy (NIRS) sensor. This paper focuses on a method for observing a brain behavior under stress based on classroom activity. The data recorded from the experiment is analyzed in order to integrate with an internet of things architecture and to adapt deep learning algorithm in future development.
AB - In classroom, teachers have a role to impart education and encourage learning to their students. More teachers are using various activities to make students keep focus on class but in the real situation teachers are facing a difficulty to make all student keep attention, because each student's mental activity and personal problem are different [1]. To improve classroom management, we proposed a method to make teachers are able to keep monitoring and analyzing student's brain stress level by using 2-channels near-infrared spectroscopy (NIRS) sensor. This paper focuses on a method for observing a brain behavior under stress based on classroom activity. The data recorded from the experiment is analyzed in order to integrate with an internet of things architecture and to adapt deep learning algorithm in future development.
KW - brain activity
KW - classroom activity
KW - deep learning
KW - internet of things
KW - near-infrared spectroscopy (NIRS)
KW - stress
UR - http://www.scopus.com/inward/record.url?scp=85063792973&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063792973&partnerID=8YFLogxK
U2 - 10.1109/ICCE.2019.8662117
DO - 10.1109/ICCE.2019.8662117
M3 - Conference contribution
AN - SCOPUS:85063792973
T3 - 2019 IEEE International Conference on Consumer Electronics, ICCE 2019
BT - 2019 IEEE International Conference on Consumer Electronics, ICCE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Consumer Electronics, ICCE 2019
Y2 - 11 January 2019 through 13 January 2019
ER -