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行为成像和自闭症的研究

Behavior Imaging and the Study of Autism
课程网址: http://videolectures.net/uai2011_rehg_behavior/  
主讲教师: James M. Rehg
开课单位: 乔治亚理工学院
开课时间: 2011-08-26
课程语种: 英语
中文简介:
从婴儿时期开始,个体就获得了对健康和富有成效的生活至关重要的社交和沟通技能。发育迟缓的儿童在获得这些技能方面面临巨大挑战,从而导致了巨大的终生风险。自闭症谱系障碍(ASD)的儿童是一个特别重要的风险类别,因为自闭症谱系障碍的诊断率越来越高,其后果也越来越严重。由于ASD的遗传基础尚不清楚,其诊断、治疗和研究从根本上依赖于对行为的观察。不幸的是,目前获取和分析行为数据的方法是如此的劳动密集型,以至于无法进行大规模应用。在这次演讲中,我将描述我们在行为成像方面的研究议程,它的目标是捕捉、建模和分析儿童和他们的看护者以及同伴之间的社交和交流行为。我们正在开发用于视觉、听觉和可穿戴传感器数据分析的计算方法和统计模型。我们的目标是为大规模收集和解释行为数据开发一套新的功能。我将描述在统计建模中出现的几个研究挑战,并在基于视频的社会互动分析中给出说明性的结果。
课程简介: Beginning in infancy, individuals acquire the social and communication skills that are vital for a healthy and productive life. Children with developmental delays face great challenges in acquiring these skills, resulting in substantial lifetime risks. Children with an Autism Spectrum Disorder (ASD) represent a particularly significant risk category, due both to the increasing rate of diagnosis of ASD and its consequences. Since the genetic basis for ASD is unclear, the diagnosis, treatment, and study of the disorder depends fundamentally on the observation of behavior. Unfortunately, current methods for acquiring and analyzing behavioral data are so labor-intensive as to preclude their large scale application. In this talk, I will describe our research agenda in Behavior Imaging, which targets the capture, modeling, and analysis of social and communicative behaviors between children and their caregivers and peers. We are developing computational methods and statistical models for the analysis of vision, audio, and wearable sensor data. Our goal is to develop a new set of capabilities for the large-scale collection and interpretation of behavioral data. I will describe several research challenges in statistical modeling which arise in this area, and present illustrative results in the video-based analysis of social interactions.
关 键 词: 自闭症光谱; 可穿戴传感器; 社交互动; 思想交流技能
课程来源: 视频讲座网
最后编审: 2019-10-28:lxf
阅读次数: 44