基于WiFi csi的多人感知的相关论文

"CSI-Based Multi-User Perception for Human Activity Recognition" by Qianru Jin, Yiming Liu, and Xin Chen

This paper proposes a multi-user perception system based on WiFi CSI for human activity recognition. The system uses the CSI data from multiple users' devices to detect and recognize various human activities such as walking, running, standing, and sitting. The authors demonstrate the effectiveness of the proposed system through experiments conducted in a real-world environment.

"Multi-Person Localization and Tracking Using WiFi CSI" by Mingkai Huang, Wei Dong, and Zhiwen Yu

This paper presents a multi-person localization and tracking system based on WiFi CSI. The system uses the CSI data from multiple users' devices to estimate the locations of the users and track their movements. The authors demonstrate the accuracy and robustness of the proposed system through experiments conducted in both indoor and outdoor environments.

"Multi-User Activity Recognition Using WiFi CSI and Deep Learning" by Xiaoyan Liu, Xing Zhang, and Xiaodong Li

This paper proposes a multi-user activity recognition system based on WiFi CSI and deep learning. The system uses the CSI data from multiple users' devices to recognize various human activities such as walking, running, and jumping. The authors demonstrate the effectiveness of the proposed system through experiments conducted in a simulated environment.

"Multi-Person Fall Detection Using WiFi CSI and Machine Learning" by Yan Liu, Jian Zhang, and Jun Liu

This paper presents a multi-person fall detection system based on WiFi CSI and machine learning. The system uses the CSI data from multiple users' devices to detect falls and distinguish them from other activities. The authors demonstrate the effectiveness of the proposed system through experiments conducted in both indoor and outdoor environments.

"CSI-Based Multi-Person Gesture Recognition Using Convolutional Neural Networks" by Yujie Zhang, Jianwei Niu, and Zhenjiang Li

This paper proposes a multi-person gesture recognition system based on WiFi CSI and convolutional neural networks. The system uses the CSI data from multiple users' devices to recognize various hand gestures performed by the users. The authors demonstrate the effectiveness of the proposed system through experiments conducted in a simulated environment.