Active Hidden Stressor Identification and Notification
Abstract:
A local and private model can be used to analyze textual, visual, and auditory content on a user's local device to provide notifications about events which are stressful beyond a predetermined threshold. The model can be trained by a combination of health sensor data and an analysis of the content. Multiple models or techniques can be used to analyze the content and vectorize the content. A vector based approach can be used to classify future content as stressful when meeting the predetermined threshold.
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