Towards the Stress Analytics Framework: Managing, Mining, and Visualizing Multi-modal Data for Stress Awareness
Computer-Based Medical Systems（2014）
摘要
Stress is experienced by many people on daily basis. Often it remains to be unrecognized and unnoticed. We propose a framework for stress analytics and describe technologies facilitating management and exploration of multi-modal affective data captured in physiological signals, such as galvanic skin response and heart rate, as well as in facial expression, in speech and in written text. We envision that stress analytics can become a useful tool as for individual personal use for stress-awareness as for researchers aiming to study the phenomenon of stress.
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关键词
data mining,data visualisation,database management systems,medical computing,physiology,multimodal affective data exploration,multimodal data management,multimodal data mining,multimodal data visualization,physiological signals,stress analytics framework,stress awareness,affective data,multi-modal data,stress analytics
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