A review of action recognition using joints based on deep learning
Y LIU, P XUE, H LI, C WANG - 电子与信息学报, 2021 - jeit.ac.cn
Action recognition using joints has attracted the attention of scholars at home and abroad
because it is not easily affected by appearance and can better avoid the impact of noise …
because it is not easily affected by appearance and can better avoid the impact of noise …
[HTML][HTML] 基于深度学习的关节点行为识别综述
刘云， 薛盼盼， 李辉， 王传旭 - 电子与信息学报, 2021 - jeit.ac.cn
关节点行为识别由于其不易受外观影响, 能更好地避免噪声影响等优点备受国内外学者的关注,
但是目前该领域的系统归纳综述较少. 该文综述了基于深度学习的关节点行为识别方法 …
但是目前该领域的系统归纳综述较少. 该文综述了基于深度学习的关节点行为识别方法 …
[PDF][PDF] 人机环境系统多领域行为过程建模与优化方法研究进展
董元发， 张文厉， 肖人彬， 田启华， 杜轩 - 《 中国铸造》 英文版, 2022 - qikan.cmes.org
目前智能技术自身在通用性, 稳健性, 安全性等方面并不成熟, 智能交互产品极易因在意图表达,
信息处理, 决策逻辑, 交互时序, 动作强度等方面与用户行为模式的不匹配而产生“行为冲突” …
信息处理, 决策逻辑, 交互时序, 动作强度等方面与用户行为模式的不匹配而产生“行为冲突” …
[PDF][PDF] Research Progresses of Modeling and Optimization Methods for Multi Domain Behavior Processes of Human-Machine Environmental Systems
董元发， 张文厉， 肖人彬， 田启华， 杜轩 - China Mechanical Engineering - qikan.cmes.org
Due to the immaturity of intelligent technology in universality, robustness and security,
intelligent interactive products were prone to “behavior conflict” due to the mismatch with …
intelligent interactive products were prone to “behavior conflict” due to the mismatch with …
Quantitative Prediction of Part Cycle Production Based on Industrial Mechanism Model and Artificial Intelligence Algorithm.
LI He, LU Yongsong, GAO Leilei - Light Industry Machinery, 2021 - search.ebscohost.com
In order to improve the capacity of parts cycle production through accurate prediction, a
quantitative prediction method of parts cycle production based on industrial mechanism …
quantitative prediction method of parts cycle production based on industrial mechanism …