2020/10/30 by Panagiotis Paraskevas Filntisis, Panagiotis P. Filntisis, Niki Efthymiou +6 · 2 citations
Computer Science · Psychology · #Computer Vision and Pattern Recognition (cs.CV) #Emotion and Mood Recognition #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications #cs.CV
paper · pdf · doi:10.48550/arxiv.2010.16396
Winner of the First International Workshop on Bodily Expressed Emotion Understanding Challenge (ECCVW-2020)
arxiv created 2020/10/30 · openalex publication_date 2020/10/30 · arxiv updated 2020/11/02 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
We present our winning submission to the First International Workshop on Bodily Expressed Emotion Understanding (BEEU) challenge. Based on recent literature on the effect of context/environment on emotion, as well as visual representations with semantic meaning using word embeddings, we extend the framework of Temporal Segment Network to accommodate these. Our method is verified on the validation set of the Body Language Dataset (BoLD) and achieves 0.26235 Emotion Recognition Score on the test set, surpassing the previous best result of 0.2530.