Automatic mental health identification method based on natural gait pattern | |
Miao, Beibei1,2; Liu, Xiaoqian1,2; Zhu, Tingshao1,2 | |
第一作者 | Miao, Beibei |
通讯作者邮箱 | liuxiaoqian@psych.ac.cn |
心理所单位排序 | 1 |
摘要 | 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. |
关键词 | anxiety depression gait analysis mental health automatic recognition |
2021-02-10 | |
语种 | 英语 |
DOI | 10.1002/pchj.434 |
发表期刊 | PSYCH JOURNAL |
ISSN | 2046-0252 |
页码 | 12 |
期刊论文类型 | 实证研究 |
收录类别 | SCI |
出版者 | WILEY |
WOS研究方向 | Psychology |
WOS类目 | Psychology, Multidisciplinary |
WOS记录号 | WOS:000616729700001 |
WOS分区 | Q3 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/38540 |
专题 | 社会与工程心理学研究室 |
通讯作者 | Liu, Xiaoqian |
作者单位 | 1.Chinese Acad Sci, Inst Psychol, 16 Lincui Rd, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China |
第一作者单位 | 中国科学院心理研究所 |
通讯作者单位 | 中国科学院心理研究所 |
推荐引用方式 GB/T 7714 | Miao, Beibei,Liu, Xiaoqian,Zhu, Tingshao. Automatic mental health identification method based on natural gait pattern[J]. PSYCH JOURNAL,2021:12. |
APA | Miao, Beibei,Liu, Xiaoqian,&Zhu, Tingshao.(2021).Automatic mental health identification method based on natural gait pattern.PSYCH JOURNAL,12. |
MLA | Miao, Beibei,et al."Automatic mental health identification method based on natural gait pattern".PSYCH JOURNAL (2021):12. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Automatic mental hea(1430KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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