A New Perspective on Smiling and Laughter Detection: Intensity Levels Matter

arXiv:2403.02112v1 Announce Type: new
Abstract: Smiles and laughs detection systems have attracted a lot of attention in the past decade contributing to the improvement of human-agent interaction systems. But very few considered these expressions as distinct, although no prior work clearly proves them to belong to the same category or not. In this work, we present a deep learning-based multimodal smile and laugh classification system, considering them as two different entities. We compare the use of audio and vision-based models …

abstract agent arxiv attention cs.cv detection human improvement intensity matter perspective prior systems them type work