Mental health has become a global problem, as over 300 million people worldwide suffer from depression and 200 million from anxiety disorders, which are ranked by the World Health Organization (WHO) as the first and sixth leading causes of disability, respectively. Due to the limited health resources, the traditional method of mental health diagnosis as one-to-one consultation is difficult to meet the needs of the large number of mental subhealth population. In this article, we propose a new method for mental health recognition that could identify potentially clinically significant symptoms of depression and anxiety based on daily gait. Eighty-eight participants were recruited, and their gaits were recorded by a digital camera. Then they were required to complete two rating scales, the Patient Health Questionnaire (PHQ-9) and the seven-item Generalized Anxiety Disorder Scale (GAD-7), to measure their depression and anxiety levels. Specifically, 18 key points of each individual's body trunk were captured from video, and both time-domain features and frequency-domain behavioral features were extracted for each key point. Lastly, machine-learning algorithms were utilized to build the mental health recognition models. Results showed that the proposed method is feasible and effective, with a correlation coefficient of depression (measured by PHQ-9) recognition above 0.5 and anxiety (measured by GAD-7) recognition above 0.4, achieving medium correlation. This new, low-cost, and convenient mental health recognition pattern could be applied in daily monitoring of mental health and large-scale preliminary screening of mental diseases.

中文翻译：

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基于自然步态模式的心理健康自动识别方法

心理健康已成为一个全球性问题，全世界有超过 3 亿人患有抑郁症，2 亿人患有焦虑症，世界卫生组织 (WHO) 将其分别列为导致残疾的第一和第六大原因。由于卫生资源有限，传统的一对一会诊等心理健康诊断方式难以满足大量心理亚健康人群的需求。在本文中，我们提出了一种新的心理健康识别方法，该方法可以根据日常步态识别具有潜在临床意义的抑郁和焦虑症状。招募了 88 名参与者，他们的步态被数码相机记录下来。然后他们被要求完成两个评分量表，患者健康问卷 (PHQ-9) 和七项广泛性焦虑症量表 (GAD-7)，以测量他们的抑郁和焦虑水平。具体来说，从视频中捕获了每个人躯干的18个关键点，对每个关键点都提取了时域特征和频域行为特征。最后，利用机器学习算法来构建心理健康识别模型。结果表明，该方法可行且有效，抑郁（PHQ-9测量）识别相关系数大于0.5，焦虑（GAD-7测量）识别相关系数大于0.4，达到中等相关。这种新的、低成本的