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Estimating Emotion for Each Personality to Prevent School Dropout

Authors:
Emi Takemoto
Yusuke Kajiwara
Hiromitsu Simakawa

Keywords: school dropout; pulse wave; personality

Abstract:
This research estimates emotions of university students from their pulse waves. Negative emotion of university students causes school dropout, which is becoming a serious problem in Japan. It is indispensable for school staffs and counselors to know when and where students have negative emotion in the campus. Since pulse wave movement along with emotion changes varies with personality types, we build a model dependent on personality type, to estimate student emotion from characteristics of pulse wave movement. Experimental results show that the model for each personality type improves the accuracy of emotion estima- tion for new students. Positive or negative emotion estimated from pulse wave signals contributes to enhancement of campus environment by school counselors.

Pages: 102 to 108

Copyright: Copyright (c) IARIA, 2017

Publication date: September 10, 2017

Published in: conference

ISSN: 2308-3514

ISBN: 978-1-61208-581-4

Location: Rome, Italy

Dates: from September 10, 2017 to September 14, 2017