Continuous Engagement Estimation based on Gaze Estimation and Facial Expression Recognition
Seong Ho Kim, Dong Jun Lee, Dae Ha Kim, Byung Cheol Song · 2022
Existing engagement estimation methods only show discrete estimation results according to the degree of engagement, and do not express fine-grained state information of the object. In this paper, we propose a continuous engagement estimation framework using estimated gaze direction and facial expression information. Also, we build a video-based engagement estimation database and succeeded in qualitatively verifying the performance of our framework.