Emotion monitoring system for drivers

被引：17
作者：
Kowalczuk, Z. [1 ]
Czubenko, M. [1 ]
Merta, T. [1 ]
机构：
[1] Gdansk Univ Technol, Narutowicza 11-12, PL-80233 Gdansk, Poland
来源：
IFAC PAPERSONLINE | 2019年 / 52卷 / 08期
关键词：
Affective computing; emotion recognition; car safety; CIRCUMPLEX MODEL;
D O I：
10.1016/j.ifacol.2019.08.071
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article describes a new approach to the issue of building a driver monitoring system. Actual systems focus, for example, on tracking eyelid and eyebrow movements that result from fatigue. We propose a different approach based on monitoring the state of emotions. Such a system assumes that by using the emotion model based on our own concept, referred to as the reverse Plutchik's paraboloid of emotions, the recognition of emotions is carried out by means of a video camera and an external algorithm that recognizes real/internal emotions based on facial expressions. The final emotion is estimated by the Kalman filter, where the emotion is treated as measurement data. The aim of our future work is to determine the impact of the driver's emotional state on driving safety. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码：200 / 205
页数：6
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