Face Recognition Technology in the Field of Intelligent Psychological Analysis

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Authors: Yufei Zang, Zixi Zhu
Cited by: 0

Abstract

With the development of artificial intelligence technology, facial emotion recognition is being used in more fields.Nowadays, mental health issues of people of all ages have already become hot issues.Researchers have found that intelligent psychological analysis has a significant impact on improving mental health levels.However, there is still a lack of a unified understanding of how to use facial recognition technology to reasonably and accurately identify patients' emotions, enabling a deeper psychological analysis.Minute changes in a person's facial expressions are often challenging to detect without the aid of specialised equipment.This can sometimes lead therapists to misinterpret crucial information, particularly when working with patients who habitually conceal their emotions.Consequently, the benefits of applying modern deep learning technology for such assessments become especially evident.Drawing from research and scholarship across multiple disciplines, this review integrates deep learning models into the field of psychological analysis.By using deep learning models to capture patients' micro-expressions and accurately identify sentiment, it reduces errors caused by human judgment, provides therapists with accurate sentiment data, helps therapists better understand the development of patients' emotions, and proposes personalised treatment plans based on the patients' own situations, pointing the direction for the future Fusion development of psychotherapy and artificial intelligence.

Fields of Study & Subjects

Face recognition and analysis Emotion and Mood Recognition Face and Expression Recognition

Publication details

Journal / source
Advances in engineering research/Advances in Engineering Research
Pages
596–604
Publication date
1 January 2026
Language
EN
Document type
Book chapter