Privacy-preserving cross-environment human activity recognition

L Zhang, W Cui, B Li, Z Chen, M Wu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recent studies have demonstrated the success of using the channel state information (CSI)
from the WiFi signal to analyze human activities in a fixed and well-controlled environment …

Device-free location-independent human activity recognition using transfer learning based on CNN

X Ding, T Jiang, Y Li, W Xue… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Device-free human activity recognition based on wireless signal is becoming a vital
underpinning for various emerging applications in human-computer interaction (HCI) …

Privacy-preserving activity recognition using multimodal sensors in smart office

X Zhang, P Zheng, T Peng, D Li, X Zhang… - Future Generation …, 2023 - Elsevier
Developing a human activity recognition (HAR) system for employees is essential to
incorporate intelligence into smart office environments, enabling various human-centered …

CSITime: Privacy-preserving human activity recognition using WiFi channel state information

SK Yadav, S Sai, A Gundewar, H Rathore, K Tiwari… - Neural Networks, 2022 - Elsevier
Human activity recognition (HAR) is an important task in many applications such as smart
homes, sports analysis, healthcare services, etc. Popular modalities for human activity …

Multi-modal human action recognition with sub-action exploiting and class-privacy preserved collaborative representation learning

C Liang, D Liu, L Qi, L Guan - IEEE Access, 2020 - ieeexplore.ieee.org
Multimodal human action recognition with depth sensors has drawn wide attention, due to its
potential applications such as health-care monitoring, smart buildings/home, intelligent …

Wearable computing for Internet of Things: A discriminant approach for human activity recognition

W Lu, F Fan, J Chu, P Jing… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
With the rapid development of the wireless sensor network and the continuous improvement
of its key technologies, the concept of Internet of Things has been encouraged and extended …

A survey on CSI-based human behavior recognition in through-the-wall scenario

Z Wang, K Jiang, Y Hou, Z Huang, W Dou… - IEEE …, 2019 - ieeexplore.ieee.org
Recent years have witnessed increasing research interest in human behavior recognition as
it provides attractive applications in various sensing scenarios. Among these encouraging …

Cross-Modal Federated Human Activity Recognition

X Yang, B Xiong, Y Huang, C Xu - IEEE Transactions on Pattern …, 2024 - ieeexplore.ieee.org
Federated human activity recognition (FHAR) has attracted much attention due to its great
potential in privacy protection. Existing FHAR methods can collaboratively learn a global …

Cross-modal federated human activity recognition via modality-agnostic and modality-specific representation learning

X Yang, B Xiong, Y Huang, C Xu - … of the AAAI conference on artificial …, 2022 - ojs.aaai.org
In this paper, we propose a new task of cross-modal federated human activity recognition
(CMF-HAR), which is conducive to promote the large-scale use of the HAR model on more …

Multimodal CSI-based human activity recognition using GANs

D Wang, J Yang, W Cui, L Xie… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Channel state information (CSI)-based human activity recognition (HAR) has received great
attention in recent years due to its advantages in privacy protection, insensitivity to …