EMOPAIN挑战赛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
摘要：
2020年国际疼痛挑战赛是第一个旨在创建一个统一的平台，用于比较机器学习和多媒体处理方法，从人类表达行为中自动评估慢性疼痛，并识别疼痛相关行为。该挑战的目标是促进辅助技术的研究，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，以帮助管理他们的病情并保持身体活动。这项挑战还旨在鼓励使用相对未被充分利用的，尽管重要的身体表情信号来自动识别疼痛和与疼痛相关的情绪。本文介绍了一个描述的挑战，竞争准则，基准数据集，和基线系统的架构和性能的三个子任务：从面部表情的疼痛估计，疼痛识别从多模态运动，和保护性运动行为检测。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
