POST-traumatic stress disorder (PTSD) is a chronic and debilitating mental condition that is developed in response to catastrophic life events, such as military combat, sexual assault, and natural disasters. PTSD is characterized by flashbacks of past traumatic events, intrusive thoughts, nightmares, hypervigilance, and sleep disturbance, all of which affect a person's life and lead to considerable social, occupational, and interpersonal dysfunction. The diagnosis of PTSD is done by medical professionals using self-assessment questionnaire of PTSD symptoms as defined in the Diagnostic and Statistical Manual of Mental Disorders (DSM). In this paper, and for the first time, we collected, annotated, and prepared for public distribution a new video database for automatic PTSD diagnosis, called PTSD in the wild dataset. The database exhibits "natural" and big variability in acquisition conditions with different pose, facial expression, lighting, focus, resolution, age, gender, race, occlusions and background. In addition to describing the details of the dataset collection, we provide a benchmark for evaluating computer vision and machine learning based approaches on PTSD in the wild dataset. In addition, we propose and we evaluate a deep learning based approach for PTSD detection in respect to the given benchmark. The proposed approach shows very promising results. Interested researcher can download a copy of PTSD-in-the wild dataset from: http://www.lissi.fr/PTSD-Dataset/
翻译:创伤后应激障碍症(PTSD)是一种慢性和衰弱的心理状况,是针对灾难性的生活事件,如军事战斗、性攻击和自然灾害而形成的。创伤后应激障碍的特点是,过去创伤性应激事件、侵扰性思想、恶梦、超常警惕和睡眠扰动的反射,所有这些都影响一个人的生活,导致相当大的社会、职业和人际功能失调。创伤后应激障碍症的诊断由医疗专业人员使用《关于精神失常的诊断和统计手册》(DSM)所界定的PTSD症状的自我评估问卷进行。在本文中,我们首次收集了附加说明,并准备公开分发一个新的视频数据库,用于对PTSD进行自动诊断,在野生数据集中称为PTSD。数据库显示“自然”和大变异性,其面部、照明、焦点、分辨率、年龄、性别、种族、封闭性和背景。除了描述数据集收集的详情外,我们还为评估基于PTSD-D的计算机视觉和机器学习方法,在野生数据库中,我们提议一个基于PLSD-TSD的深层次研究模型,以探查。