Fatigue state recognition system for miners based on a multi-modal feature extraction and fusion framework

IF 5 3区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

IEEE Transactions on Cognitive and Developmental Systems Pub Date : 2024-09-16 DOI:10.1109/tcds.2024.3461713

Hongguang Pan, Shiyu Tong, Xuqiang Wei, Bingyang Teng

引用次数: 0

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基于多模态特征提取和融合框架的矿工疲劳状态识别系统

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Cognitive and Developmental Systems Computer Science-Software

CiteScore

7.20

自引率

10.00%

发文量

170

期刊介绍： The IEEE Transactions on Cognitive and Developmental Systems (TCDS) focuses on advances in the study of development and cognition in natural (humans, animals) and artificial (robots, agents) systems. It welcomes contributions from multiple related disciplines including cognitive systems, cognitive robotics, developmental and epigenetic robotics, autonomous and evolutionary robotics, social structures, multi-agent and artificial life systems, computational neuroscience, and developmental psychology. Articles on theoretical, computational, application-oriented, and experimental studies as well as reviews in these areas are considered.