WiFi CSI Based Passive Human Activity Recognition Method Using BLSTM-CNN
P Hu, W Liu, C Yang, Y Sun, J Li - 2023 IEEE 23rd International …, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) based on WiFi channel state information (CSI) has been
received strong attention in recent years. For this problem, vision-based and sensor-based …
received strong attention in recent years. For this problem, vision-based and sensor-based …
WiFi CSI based passive human activity recognition using attention based BLSTM
Human activity recognition can benefit various applications including healthcare services
and context awareness. Since human actions will influence WiFi signals, which can be …
and context awareness. Since human actions will influence WiFi signals, which can be …
Efficient Residual Neural Network for Human Activity Recognition using WiFi CSI Signals
N Hnoohom, S Mekruksavanich… - Proceedings of the …, 2024 - dl.acm.org
The use of deep learning (DL) technology for the purpose of human activity recognition
(HAR) is an important research area. Vision and sensor-based methods can provide good …
(HAR) is an important research area. Vision and sensor-based methods can provide good …
WiFi CSI-based human activity recognition using deep recurrent neural network
J Ding, Y Wang - IEEE Access, 2019 - ieeexplore.ieee.org
Human activity recognition based on channel state information (CSI) using commercial WiFi
devices plays an increasingly important role in many applications, such as smart home and …
devices plays an increasingly important role in many applications, such as smart home and …
Deep learning networks for human activity recognition with CSI correlation feature extraction
Device free WiFi Sensing using channel state information (CSI) has been shown great
potentials for human activity recognition (HAR). However, extracting reliable and concise …
potentials for human activity recognition (HAR). However, extracting reliable and concise …
Attention-based hybrid deep learning network for human activity recognition using WiFi channel state information
The recognition of human movements is a crucial aspect of AI-related research fields.
Although methods using vision and sensors provide more valuable data, they come at the …
Although methods using vision and sensors provide more valuable data, they come at the …
An WiFi-Based Human Activity Recognition System Under Multi-source Interference
J Li, T Jiang, J Yu, X Ding, Y Zhong, Y Liu - International Conference in …, 2021 - Springer
WiFi-based human activity recognition in simple scenes has made exciting progress driven
by deep learning methods, but current applications are focused on recognition without …
by deep learning methods, but current applications are focused on recognition without …
CSI-Based Human Activity Recognition Using Multi-Input Multi-Output Autoencoder and Fine-Tuning
Wi-Fi-based human activity recognition (HAR) has gained considerable attention recently
due to its ease of use and the availability of its infrastructures and sensors. Channel state …
due to its ease of use and the availability of its infrastructures and sensors. Channel state …
A deep learning based lightweight human activity recognition system using reconstructed WiFi CSI
X Chen, Y Zou, C Li, W Xiao - IEEE Transactions on Human …, 2024 - ieeexplore.ieee.org
Human activity recognition (HAR) is a key technology in the field of human–computer
interaction. Unlike systems using sensors or special devices, the WiFi channel state …
interaction. Unlike systems using sensors or special devices, the WiFi channel state …
Wildar: Wifi signal-based lightweight deep learning model for human activity recognition
In recent years, the WiFi channel state information (CSI) has been increasingly used for
human activity recognition (HAR) during activities of daily living, because of …
human activity recognition (HAR) during activities of daily living, because of …