Abstract: Techniques are described for image analysis and representation for emotional metric threshold generation. A client device is used to collect image data of a user interacting with a media presentation, where the image data includes facial images of the user. One or more processors are used to analyze the image data to extract emotional content of the facial images. One or more emotional intensity metrics are determined based on the emotional content. The one or more emotional intensity metrics are stored into a digital storage component. The one or more emotional intensity metrics, obtained from the digital storage component, are coalesced into a summary emotional intensity metric. The summary emotional intensity metric is represented.

Abstract: Image analysis is performed for a two-sided data hub. Data reception on a first computing device is enabled by an individual and a content provider. Cognitive state data including facial data on the individual is collected on a second computing device. The cognitive state data is analyzed on a third computing device and the analysis is provided to the individual. The cognitive state data is evaluated and the evaluation is provided to the content provider. A mood dashboard is displayed to the individual based on the analyzing. The individual opts in to enable data reception for the individual. The content provider provides content via a website.

Abstract: Techniques are described for image analysis and representation for emotional metric threshold generation. A client device is used to collect image data of a user interacting with a media presentation, where the image data includes facial images of the user. One or more processors are used to analyze the image data to extract emotional content of the facial images. One or more emotional intensity metrics are determined based on the emotional content. The one or more emotional intensity metrics are stored into a digital storage component. The one or more emotional intensity metrics, obtained from the digital storage component, are coalesced into a summary emotional intensity metric. The summary emotional intensity metric is represented.

Abstract: Image analysis is performed for a two-sided data hub. Data reception on a first computing device is enabled by an individual and a content provider. Cognitive state data including facial data on the individual is collected on a second computing device. The cognitive state data is analyzed on a third computing device and the analysis is provided to the individual. The cognitive state data is evaluated and the evaluation is provided to the content provider. A mood dashboard is displayed to the individual based on the analyzing. The individual opts in to enable data reception for the individual. The content provider provides content via a website.