Demographic effects on facial emotion expression: an interdisciplinary investigation of the facial action units of happiness.

ABSTRACT: Understanding demographic difference in facial expression of happiness has crucial implications on social communication. However, prior research on facial emotion expression has mostly focused on the effect of a single demographic factor (typically gender, race, or age), and is limited by the small image dataset collected in laboratory settings. First, we used 30,000 (4800 after pre-processing) real-world facial images from Flickr, to analyze the facial expression of happiness as indicated by the intensity level of two distinctive facial action units, the Cheek Raiser (AU6) and the Lip Corner Puller (AU12), obtained automatically via a deep learning algorithm that we developed, after training on 75,000 images. Second, we conducted a statistical analysis on the intensity level of happiness,

SUBMITTER: Fan Y 

PROVIDER: S-EPMC7970860 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature