基于表面肌电信号的人因与工效学评估研究综述

Review on Assessment of Human Factors and Ergonomics Based on Surface Electromyography

中文关键词: 表面肌电信号  肌肉疲劳  人因与工效学  工作负荷

英文关键词: surface electromyography  muscle fatigue  human factors and ergonomics  workload

中文摘要:

      目的 对使用表面肌电信号技术评估人因与工效学问题相关研究进行分析与梳理，促进表面肌电信号技术在人因与工效学领域的创新与发展。方法 首先，概述人因与工效学的定义、发展历程与研究方法。然后，从数据采集方式、数据预处理、特征选择与提取、训练及分类器选择这4个实验流程归纳表面肌电信号技术的研究方法与研究进展，并对目前该领域的研究热点与研究趋势进行详细总结。结论 表面肌电信号技术仍是人因与工效学领域的重要评估方法，随着创新技术与深度学习算法的不断发展，从多模态、多方法交叉融合的角度构建大规模可公开数据集与创新智能化评估系统在未来将成为表面肌电信号在人因与工效学领域的重点研究方向。

英文摘要:

      The work aims to analyze and review the research related to the use of surface electromyography (sEMG) techniques to assess human factors and ergonomic issues, in order to promote innovation and development of surface EMG techniques in the field of human factors and ergonomics. Firstly, the definition, development history and research methods of human factors and ergonomics were outlined. Then, the research methods and progress in surface EMG techniques were summarized in terms of four experimental processes, such as data acquisition methods, data pre-processing, feature selection and feature extraction, training and classifier selection, and a detailed summary of current research hotspots and research trends in the field was presented. The surface EMG techniques are still the important assessment methods in the field of human factors and ergonomics. With the continuous development of innovative technologies and deep learning algorithms, the construction of large scale publicly available data sets and innovative intelligent evaluation systems from a multimodal and multi-method cross-fertilisation perspective will become a key research direction for surface EMG in the field of human factors and ergonomics in the future.