Automated Audiovisual Depression Analysis.
Automated Audiovisual Depression Analysis.
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DOI：
10.1016/j.copsyc.2014.12.010
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发表时间：
2015-08
影响因子：
5.9
通讯作者：
Cohn JF
中科院分区：
文献类型：
--
作者：
Girard JM;Cohn JF
对抑郁症中可观察到的行为的分析主要依赖于主观测量。新的计算方法使人类难以量化的行为的自动视听测量成为可能（例如，移动速度和语音变化）。这些工具有可能改善筛查和诊断，识别新的抑郁症行为指标，测量对临床干预的反应，并测试有关潜在机制的临床理论。亮点包括一项测量声道和面部运动的时间协调的研究，一项根据声音质量预测哪些青少年会继续发展抑郁症的研究，以及一项使用面部动作和头部运动的自动测量来测试临床理论的行为预测的研究。
Analysis of observable behavior in depression primarily relies on subjective measures. New computational approaches make possible automated audiovisual measurement of behaviors that humans struggle to quantify (e.g., movement velocity and voice inflection). These tools have the potential to improve screening and diagnosis, identify new behavioral indicators of depression, measure response to clinical intervention, and test clinical theories about underlying mechanisms. Highlights include a study that measured the temporal coordination of vocal tract and facial movements, a study that predicted which adolescents would go on to develop depression based on their voice qualities, and a study that tested the behavioral predictions of clinical theories using automated measures of facial actions and head motion.