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Lookup NU author(s): Dr Weisha Wang
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
The main task of emotional facial recognition is to understand human emotion expression through the recognition of facial expressions, so as to achieve more effective communication and interpersonal communication. Therefore, facial recognition plays an important role in people's daily lives. In addition, the research of facial recognition is also helpful to understand the human perception processing mode, and promote the development of pattern recognition, cognitive science, neural network and other fields. With the development of cognitive science, facial recognition technology has been continuously improved, and emotional facial recognition tasks have received attention in the fields of pattern recognition and artificial intelligence, and have become a research hotspot. Among them, pattern recognition is a cognitive system applied to many fields. For the first time, we confirmed the effects of facial memory time, personal cognitive style, and emotions associated with the target face on facial recognition patterns. This study measured the impact of time, cognitive style, and emotional type of 62 qualified college students. The research results show that cognitive style and facial emotional content are of great significance for face pattern recognition. Specifically, students classified as “dependent” have achieved good results in face pattern recognition, and positive and negative strong emotional faces have left behind those who show neutral emotions. A deeper impression. Finally, an unusual phenomenon was discovered, which indicates that the shorter the time spent on the face of the memory, the higher the recognition score.
Author(s): Peng S, Yang D, Wang W, Hu J, Dong W
Publication type: Article
Publication status: Published
Journal: Journal of Visual Communication and Image Representation
Year: 2019
Volume: 65
Print publication date: 01/12/2019
Online publication date: 09/10/2019
Acceptance date: 06/10/2019
Date deposited: 15/01/2022
ISSN (print): 1047-3203
ISSN (electronic): 1095-9076
Publisher: Elsevier Inc.
URL: https://doi.org/10.1016/j.jvcir.2019.102674
DOI: 10.1016/j.jvcir.2019.102674
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