An Automated Framework for Depression Analysis

机译：一种抑郁分析的自动框架

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摘要

This project aims at developing an automated framework for depression detection. During a depressive episode, patients suffer from psychomotor retardation and this phenomenon is not only limited to facial activity. In this PhD work, it is hypothesized that such complex affective state can be better represented by integrating information from various uni-modal channels to form a multimodal affective sensing system. The project explores facial dynamics, body expressions such as head movement, relative body part movement etc. in patients with major depressive disorders. The contribution of various channels is assessed and as a final objective, a framework combining discriminative channels for automatic depression analysis is proposed.

机译：该项目旨在开发一种用于抑郁检测的自动框架。在抑郁发作期间，患者患有精神抑制性，这种现象不仅限于面部活动。在该PHD工作中，假设这种复杂的情感状态可以通过集成来自各种单模频道的信息来形成多模式情感传感系统来更好地表示。该项目探讨了主要抑郁障碍患者的面部动态，诸如头部运动，相对身体部位运动等的身体表达。评估各种信道的贡献，并作为最终目标，提出了一种组合用于自动凹陷分析的鉴别通道的框架。

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《Humaine Association Conference on Affective Computing and Intelligent Interaction》|2013年||共6页
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作者
Joshi Jyoti;
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中图分类计算复杂性理论;
关键词
Automatic depression detection; Body movement analysis; bag of words; facial dynamics;

机译：自动抑郁检测;身体运动分析;书包;面部动态;

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An Automated Framework for Depression Analysis

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