See your mental state from your walk: Recognizing anxiety and depression through Kinect-recorded gait data

As the challenge of mental health problems such as anxiety and depression increasing today, more convenient, objective, real-time assessing techniques of mental state are in need. The Microsoft Kinect camera is a possible option for contactlessly capturing human gait, which could reflect the walkers...

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Veröffentlicht in:	PloS one 2019-05, Vol.14 (5), p.e0216591-e0216591
Hauptverfasser:	Zhao, Nan, Zhang, Zhan, Wang, Yameng, Wang, Jingying, Li, Baobin, Zhu, Tingshao, Xiang, Yuanyuan
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Algorithms Anxiety Anxiety disorders Anxiety Disorders - diagnosis Archives & records Behavioral sciences Biology and Life Sciences Cameras Classification Computer and Information Sciences Computer science Correlation coefficient Correlation coefficients Data mining Depression (Mood disorder) Depressive Disorder - diagnosis Diagnosis Epidemiology Fast Fourier transformations Feature extraction Female Fourier transforms Gait Gait - physiology Gaussian process Gender differences Generalized anxiety disorder Health aspects Health problems Health surveys Humans Internal medicine International conferences Laboratories Learning algorithms Levels Machine Learning Male Medicine and Health Sciences Mental depression Mental disorders Mental Health Model accuracy Models, Statistical Motion capture Novels Patients Physical Sciences Posture Psychiatry Psychological Tests Psychology Questionnaires Real time Regression analysis Regression models Research and Analysis Methods Researchers Signs and symptoms Social Sciences Support vector machines Surveys and Questionnaires Systematic review Walking Walking - physiology Young Adult
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