A Study on Emotion Estimation by Non-contact Sensing for Telework Life

被引：0

作者：

Toriyama, Yuma ^{[1
]}

Kurebayashi, Isao ^{[1
]}

Komuro, Nobuyoshi ^{[2
]}

Suzuki, Norimichi ^{[3
]}

Nakayama, Yoshitake ^{[3
]}

Nakaoka, Hiroko ^{[3
,4
]}

Tsumura, Kayo ^{[3
,5
]}

Takaguchi, Kohki ^{[3
]}

机构：

[1] Chiba Univ, Grad Sch Sci & Engn, Chiba, Japan

[2] Chiba Univ, Inst Management & Informat Technol, Chiba, Japan

[3] Chiba Univ, Ctr Prevent Med Sci, Chiba, Japan

[4] Chiba Univ, Grad Sch Med, Dept Bioenvironm Med, Chiba, Japan

[5] Chiba Univ, Grad Sch Med & Pharmaceut Sci, Chiba, Japan

来源：

2022 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN, IEEE ICCE-TW 2022 | 2022年

关键词：

Emotion estimation; Sensor Network; Environmental data; Cognitive functions;

D O I：

10.1109/ICCE-TAIWAN55306.2022.9869227

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this study, we construct a system for estimating emotional states by sensing indoor environments for teleworking life, and conducted experimental evaluations. As a result, our method can estimate emotions with more than 80% accuracy by using multiple types of sensors and Random Forest or Gradient Boosting Decision Tree as machine learning models.

引用

页码：501 / 502

页数：2

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