Image analysis for emotional metric evaluation

A computer-implemented method for image analysis comprising:

• collecting, at a client device, image data of a user interacting with a media presentation, wherein the Image data comprises facial images of the user:
• analyzing, using one or more processors, the image data to extract emotional content of the facial images;
• determining one or more emotional intensity metrics based on the emotional content;
• storing the one or more emotional intensity metrics into a digital storage component;
• detecting that a threshold value has been met by the one or more emotional intensity metrics, wherein the threshold value is based on evaluation of facial movements of the user;
• comparing at least one of the one or more emotional intensity metrics to an emotional intensity goal, wherein the emotional intensity goal includes increasing a daily percentage of a particular emotion;
• generating a graphical representation of a facial expression for the user based on the threshold value having been met;
• and
• attaching the graphical representation to a representation of the media presentation.

A computer program product embodied in a non-transitory computer readable medium for image analysis, the computer program product comprising code which causes one or more processors to perform operations of:

• collecting, at a client device, image data of a user interacting with a media presentation, wherein the image data comprises facial images of the user;
• analyzing, using one or more processors, the image data to extract emotional content of the facial images;
• determining one or more emotional intensity metrics based on the emotional content;
• storing the one or more emotional intensity metrics into a digital storage component;
• detecting that a threshold value has been met by the one or more emotional intensity metrics, wherein the threshold value is based on evaluation of facial movements of the user;
• coalescing the one or more emotional intensity metrics, obtained from the storage component, into a summary emotional intensity metric;
• comparing the summary emotional intensity metric to an emotional intensity goal, wherein the emotional intensity goal includes increasing a daily percentage of a particular emotion;
• and
• representing the summary emotional intensity metric.