.png){kind=icon}
返回
Human Behavior Analysis Using Radar Data: A Survey
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2024.3474100.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Innovative monitoring solutions utilizing radar have been developed to meet various safety needs. Radar technologies, equipped with unique features, have proven to be effective tools for human activity recognition in diverse environments. Radar complements other sensors by ensuring privacy while recording movement, particularly in situations where video cameras may be intrusive. Deep learning techniques, including convolutional neural networks (CNN) and recurrent neural networks (RNN), enhance the recognition of human behaviors based on radar, providing solutions for fall detection and motion tracking. Transfer learning addresses issues related to data scarcity, while data fusion models integrate information from multiple sources. Advances in machine learning, data processing, and GPU speed contribute to the increased efficiency of radar technology for indoor monitoring, opening possibilities for more advanced applications. The aim of this article is to discuss the evolving field of human behavior analysis using radar and LiDAR. To this end, the literature in this field has been reviewed. In this study, we focus not only on the analysis of human behavior using radar but also on video observations. We review methods of human activity recognition using LiDAR. We discuss potential directions for development, draw conclusions, and outline future research in the area of Human Activity Recognition (HAR).
Keyword:
Radar
Monitoring
Behavioral sciences
Radar imaging
Laser radar
Human activity recognition
Feature extraction
Video recording
Surveys
Radar detection
Fuzzy sets
Convolutional neural networks
Deep learning
Human factors
Human activity recognition (HAR)
radar
fuzzy sets
convolutional neural network (CNN)
deep learning (DL)
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
分享收藏Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing边缘智能: 用边缘计算铺平人工智能的最后一英里.png)
PROCEEDINGS OF THE IEEE
OAAI
PROCEEDINGS OF THE IEEEIF25.9
OAAI分享收藏分享收藏Radar Sensing for Activity Classification in Elderly People Exploiting Micro-Doppler Signatures Using Machine LearningSENSORSOAAI
SENSORSIF3.5
OAAI分享收藏Left- versus right-sided hepatectomy with hilar en-bloc resection in perihilar cholangiocarcinomaHPBOAAI
HPBIF0
OAAI分享收藏
查看更多内容