期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Deep learning and transfer learning for device-free human activity recognition:A survey
1
作者 Jianfei Yang yuecong xu +2 位作者 Haozhi Cao Han Zou Lihua Xie 《Journal of Automation and Intelligence》 2022年第1期34-47,共14页
Device-free activity recognition plays a crucial role in smart building,security,and human–computer interaction,which shows its strength in its convenience and cost-efficiency.Traditional machine learning has made si... Device-free activity recognition plays a crucial role in smart building,security,and human–computer interaction,which shows its strength in its convenience and cost-efficiency.Traditional machine learning has made significant progress by heuristic hand-crafted features and statistical models,but it suffers from the limitation of manual feature design.Deep learning overcomes such issues by automatic high-level feature extraction,but its performance degrades due to the requirement of massive annotated data and cross-site issues.To deal with these problems,transfer learning helps to transfer knowledge from existing datasets while dealing with the negative effect of background dynamics.This paper surveys the recent progress of deep learning and transfer learning for device-free activity recognition.We begin with the motivation of deep learning and transfer learning,and then introduce the major sensor modalities.Then the deep and transfer learning techniques for device-free human activity recognition are introduced.Eventually,insights on existing works and grand challenges are summarized and presented to promote future research. 展开更多
关键词 Human activity recognition Deep learning Transfer learning Domain adaptation Action recognition Device-free
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部