眼动技术与抑郁识别关系的研究综述
A Review of the Relationship between Eye Movement Technology and Depression Recognition
DOI: 10.12677/hjbm.2025.154080, PDF,    科研立项经费支持
作者: 汪文馨：国防科技大学军政基础教育学院，湖南 长沙；曾若琬：湖南师范大学教育科学学院，湖南 长沙
关键词: 抑郁识别；眼动跟踪技术；眼动分析；研究综述；Depression Recognition； Eye-Tracking Technology； Eye Movement Analysis； Research Review
摘要: 抑郁已经成为危害健康的第二大疾病，但是抑郁的识别和诊断仍缺乏客观明确的生物学指标。眼动技术通过客观的生物学指标揭示信息处理过程，成为抑郁识别的新趋势。本文详细介绍了眼动跟踪技术的基本概念、原理及主要指标，介绍了眼动技术及眼动技术和表情数据、脑电信号等结合的方式在抑郁识别中取得的研究进展。
Abstract: Depression has become the second most harmful disease to human health, yet its recognition and diagnosis still lack objective and clear biological indicators. Eye movement technology, which reveals information processing processes through objective biological indicators, has emerged as a new trend in depression recognition. This paper systematically introduces the basic concepts, principles, and key indicators of eye-tracking technology. It also reviews the research progress of eye movement technology alone and its combination with expression data, electroencephalogram (EEG) signals, and other modalities in the field of depression recognition.
文章引用：汪文馨, 曾若琬. 眼动技术与抑郁识别关系的研究综述[J]. 生物医学, 2025, 15(4): 737-743. https://doi.org/10.12677/hjbm.2025.154080

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