Human activity recognition using smartphones with WiFi signals

G Lin, W Jiang, S Xu, X Zhou, X Guo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we present a work using a smartphone with an off-the-shelf WiFi router for
human activity recognition with various scales. The router serves as a hotspot for …

Wifi-based human activity recognition using Raspberry Pi

G Forbes, S Massie, S Craw - 2020 IEEE 32nd International …, 2020 - ieeexplore.ieee.org
Ambient, non-intrusive approaches to smart home health monitoring, while limited in
capability, are preferred by residents. More intrusive methods of sensing, such as video and …

Attention-based hybrid deep learning network for human activity recognition using WiFi channel state information

S Mekruksavanich, W Phaphan, N Hnoohom… - Applied Sciences, 2023 - mdpi.com
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 …

WiAct: A passive WiFi-based human activity recognition system

H Yan, Y Zhang, Y Wang, K Xu - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Nowadays, human behavior recognition research plays a pivotal role in the field of human-
computer interaction. However, comprehensive approaches mainly rely on video camera …

Device-free human activity recognition using commercial WiFi devices

W Wang, AX Liu, M Shahzad, K Ling… - IEEE Journal on …, 2017 - ieeexplore.ieee.org
Since human bodies are good reflectors of wireless signals, human activities can be
recognized by monitoring changes in WiFi signals. However, existing WiFi-based human …

Wi-motion: A robust human activity recognition using WiFi signals

H Li, X He, X Chen, Y Fang, Q Fang - IEEE Access, 2019 - ieeexplore.ieee.org
Recent research has shown that human motions and positions can be recognized through
WiFi signals. The key intuition is that different motions and positions introduce different …

Data augmentation and dense-LSTM for human activity recognition using WiFi signal

J Zhang, F Wu, B Wei, Q Zhang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Recent research has devoted significant efforts on the utilization of WiFi signals to recognize
various human activities. An individual's limb motions in the WiFi coverage area could …

LSTM-CNN network for human activity recognition using WiFi CSI data

S Shang, Q Luo, J Zhao, R Xue, W Sun… - Journal of Physics …, 2021 - iopscience.iop.org
Abstract Human Activity Recognition (HAR) has had a diverse range of applications in
various fields such as health, security and smart homes. Among different approaches of …

CSI-based human activity recognition using convolutional neural networks

PF Moshiri, M Nabati, R Shahbazian… - 2021 11th …, 2021 - ieeexplore.ieee.org
Human activity recognition (HAR) as an emerging technology can have undeniable impacts
on several applications such as health monitoring, context-aware systems, transportation …

On spatial diversity in WiFi-based human activity recognition: A deep learning-based approach

F Wang, W Gong, J Liu - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
The deeply penetrated WiFi signals not only provide fundamental communications for the
massive Internet of Things devices but also enable cognitive sensing ability in many other …