Human action recognition from various data modalities: A review

Z Sun, Q Ke, H Rahmani, M Bennamoun… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …

Cross-domain wifi sensing with channel state information: A survey

C Chen, G Zhou, Y Lin - ACM Computing Surveys, 2023 - dl.acm.org
The past years have witnessed the rapid conceptualization and development of wireless
sensing based on Channel State Information (CSI) with commodity WiFi devices. Recent …

SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing

J Yang, X Chen, H Zou, CX Lu, D Wang, S Sun, L **e - Patterns, 2023 - cell.com
Over the recent years, WiFi sensing has been rapidly developed for privacy-preserving,
ubiquitous human-sensing applications, enabled by signal processing and deep-learning …

Transfer learning for wireless networks: A comprehensive survey

CT Nguyen, N Van Huynh, NH Chu… - Proceedings of the …, 2022 - ieeexplore.ieee.org
With outstanding features, machine learning (ML) has become the backbone of numerous
applications in wireless networks. However, the conventional ML approaches face many …

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 …

Wi-Fi sensing for joint gesture recognition and human identification from few samples in human-computer interaction

R Zhang, C Jiang, S Wu, Q Zhou… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Gesture recognition is the central enabler of human-computer interaction (HCI). In addition
to the semantic information contained in gestures, gesture-based user identification can …

Device-free wireless sensing for human detection: The deep learning perspective

R Zhang, X **g, S Wu, C Jiang, J Mu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Currently, developments in wireless sensing technologies have shown that wireless signals
can be employed to transmit information between wireless communication devices and are …

Utilizing deep learning models in CSI-based human activity recognition

E Shalaby, N ElShennawy, A Sarhan - Neural computing and applications, 2022 - Springer
In recent years, channel state information (CSI) in WiFi 802.11 n has been increasingly used
to collect data pertaining to human activity. Such raw data are then used to enhance human …

ST-DeepHAR: Deep learning model for human activity recognition in IoHT applications

M Abdel-Basset, H Hawash… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Human activity recognition (HAR) has been regarded as an indispensable part of many
smart home systems and smart healthcare applications. Specifically, HAR is of great …

Intelligent wireless sensing driven metaverse: A survey

L Zhao, Q Yang, H Huang, L Guo, S Jiang - Computer Communications, 2024 - Elsevier
Metaverse seamlessly integrates the real world with the virtual world and allows avatars to
carry out rich activities including creation, display, entertainment, social, and trading. It …