论文标题
emopain挑战2020：面部和身体表情的多模式疼痛评估
EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions
论文作者
论文摘要
2020年Emopain挑战是第一次旨在创建一个统一平台，以比较机器学习和从人类表达行为的自动慢性疼痛评估的多媒体处理方法以及与疼痛相关行为的识别。挑战的目的是促进研究辅助技术的研究，这些技术通过实时监测和反馈来帮助改善慢性疼痛患者的生活质量，以帮助管理自己的状况并保持身体活跃。挑战还旨在鼓励使用相对未充分利用的，尽管身体表达至关重要的表达信号，以自动疼痛和与疼痛有关的情绪识别。本文介绍了挑战，竞争准则，台式标记数据集以及基线系统对三个子任务的架构和性能的描述：面部表情估算疼痛，多模式运动的疼痛认识以及保护性运动行为检测。
The EmoPain 2020 Challenge is the first international competition aimed at creating a uniform platform for the comparison of machine learning and multimedia processing methods of automatic chronic pain assessment from human expressive behaviour, and also the identification of pain-related behaviours. The objective of the challenge is to promote research in the development of assistive technologies that help improve the quality of life for people with chronic pain via real-time monitoring and feedback to help manage their condition and remain physically active. The challenge also aims to encourage the use of the relatively underutilised, albeit vital bodily expression signals for automatic pain and pain-related emotion recognition. This paper presents a description of the challenge, competition guidelines, bench-marking dataset, and the baseline systems' architecture and performance on the three sub-tasks: pain estimation from facial expressions, pain recognition from multimodal movement, and protective movement behaviour detection.
