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首页> 外文会议>International Conference on Automatic Face and Gesture Recognition >A Video-Based Facial Behaviour Analysis Approach to Melancholia
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A Video-Based Facial Behaviour Analysis Approach to Melancholia

机译：忧郁的基于视频的面部行为分析方法

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Recent years have seen a lot of activity in affective computing for automated analysis of depression. However, no research has so far directly evaluated the performance of facial behavioural analysis methods in classifying different subtypes of depression such as melancholia. The mental state assessment of a mood disorder depends largely on appearance, behaviour, speech, thought, perception, mood and facial affect. Mood and facial affect mainly contribute to distinguishing melancholia from nonmelancholia. These are assessed by clinicians, and hence vulnerable to subjective judgement. As a result, clinical assessment alone may not accurately capture the presence or absence of specific disorders such as melancholia, a distressing condition whose presence has important treatment implications. Melancholia is characterised by severe anhedonia and psychomotor disturbance, which can be a mix of motor retardation with periods of superimposed agitation. To the best of our knowledge, this study is the first attempt to perform facial behavioural analysis to disambiguate melancholia from non-melancholia and healthy controls on the basis of facial behavioural characteristics. We report the sensitivity and specificity of classification in depressive subtypes. These results serve as a baseline for more fine-grained depression classification and analysis.
机译：近年来，对抑郁症自动分析的情感计算有很多活动。然而，到目前为止，目前没有研究直接评估面部行为分析方法在分类不同抑郁症等抑郁症等抑郁症中的性能。心理疾病的精神状态评估主要取决于外观，行为，言语，思想，感知，情绪和面部影响。情绪和面部影响主要有助于区分忧郁从非摩洛尼亚。这些由临床医生评估，因此易受主观判断。因此，单独的临床评估可能无法准确捕获特定疾病的存在或不存在，例如忧郁症，这种令人痛苦的条件，其存在具有重要的治疗意义。 Melancholia的特点是严重的厌氧和精神障碍障碍，这可以是具有叠加搅拌时期的机动延迟的混合。据我们所知，这项研究是第一次在面部行为特征的基础上首次尝试消除非忧郁症和健康控制消除忧郁症和健康控制的歧视。我们在抑郁型亚型中报告了分类的敏感性和特异性。这些结果用作更细粒度的抑郁分类和分析的基线。

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