Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 6
1765-1769

Emotion recognition using pupil position

Chen Tian1a,1b
Fan Mingyan1a,1b
Ren Fuji1a,1b,2
Yin Hongfang1a,1b
1. a. School of Computer & Information, b. Anhui Province Key Laboratory of Affective Computing & Advanced Intelligent Machine, Hefei University of Technology, Hefei 230009, China
2. Faculty of Engineering, University of Tokushima, Tokushima 770-8506, Japan
DOI: 10.19734/j.issn.1001-3695.2020.06.0165

Abstract

At present, there are a variety of eye signals that can be used for emotion recognition. General eye information such as fixation time, pupil diameter, saccade time and other data need to be collected by using a professional eye tracker. This paper proposed an emotion recognition method based on pupil position, which used gradient-based pupil positioning algorithm to directly obtain pupil position coordinate data from facial video. For the preprocessed data, it proposed the comprehensive waveform complexity as the feature value. By segmenting the coordinate waveform of the pupil position, it obtained the sum of the absolute values of the correlation coefficients between all segments, thereby obtaining the comprehensive complexity of the waveform degree. Experimental results show that the pupil position coordinates can be used for emotion recognition, and for the pupil position coordinate waveform, the effect of comprehensive waveform complexity feature value emotion recognition is better than sample entropy and Lemple-Ziv complexity. In the future, the pupil position coordinates can be used together with other physiological signals to improve the accuracy of emotion recognition.

Foundation Support

国家自然科学基金重点资助项目(61432004)
国家自然科学基金委员会—深圳联合基金会(重点项目)(U1613217)
国家自然科学基金资助项目(61772169)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.06.0165
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 6
Section: Algorithm Research & Explore
Pages: 1765-1769
Serial Number: 1001-3695(2021)06-030-1765-05

Publish History

[2021-06-05] Printed Article

Cite This Article

陈田, 樊明焱, 任福继, 等. 采用瞳孔位置实现情感识别的方案 [J]. 计算机应用研究, 2021, 38 (6): 1765-1769. (Chen Tian, Fan Mingyan, Ren Fuji, et al. Emotion recognition using pupil position [J]. Application Research of Computers, 2021, 38 (6): 1765-1769. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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