[HTML][HTML] Deep learning and transfer learning for device-free human activity recognition: A survey

J Yang, Y Xu, H Cao, H Zou, L Xie - Journal of Automation and Intelligence, 2022 - Elsevier
Device-free activity recognition plays a crucial role in smart building, security, and human–
computer interaction, which shows its strength in its convenience and cost-efficiency …

Advanced deep learning models for 6G: overview, opportunities and challenges

L Jiao, Y Shao, L Sun, F Liu, S Yang, W Ma, L Li… - IEEE …, 2024 - ieeexplore.ieee.org
The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …

Channel-Equalization-HAR: a light-weight convolutional neural network for wearable sensor based human activity recognition

W Huang, L Zhang, H Wu, F Min… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, human activity recognition (HAR) that uses wearable sensors has become a
research hotspot due to its wide applications in a large variety of real-world scenarios …

Efficient parallel split learning over resource-constrained wireless edge networks

Z Lin, G Zhu, Y Deng, X Chen, Y Gao… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The increasingly deeper neural networks hinder the democratization of privacy-enhancing
distributed learning, such as federated learning (FL), to resource-constrained devices. To …

Mobi2Sense: empowering wireless sensing with mobility

F Zhang, J Xiong, Z Chang, J Ma, D Zhang - Proceedings of the 28th …, 2022 - dl.acm.org
Besides the conventional communication function, wireless signals are actively exploited for
sensing purposes recently. However, a missing component of existing wireless sensing is …

Fedsn: A federated learning framework over heterogeneous leo satellite networks

Z Lin, Z Chen, Z Fang, X Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Recently, a large number of Low Earth Orbit (LEO) satellites have been launched and
deployed successfully in space. Due to multimodal sensors equipped by the LEO satellites …

Fedsn: A general federated learning framework over leo satellite networks

Z Lin, Z Chen, Z Fang, X Chen, X Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Recently, a large number of Low Earth Orbit (LEO) satellites have been launched and
deployed successfully in space by commercial companies, such as SpaceX. Due to …

Wi-learner: Towards one-shot learning for cross-domain wi-fi based gesture recognition

C Feng, N Wang, Y Jiang, X Zheng, K Li… - Proceedings of the …, 2022 - dl.acm.org
Contactless RF-based sensing techniques are emerging as a viable means for building
gesture recognition systems. While promising, existing RF-based gesture solutions have …

SiFall: Practical online fall detection with RF sensing

S Ji, Y Xie, M Li - Proceedings of the 20th ACM Conference on …, 2022 - dl.acm.org
Falls are one of the leading causes of death in the elderly people aged 65 and above. In
order to prevent death by sending prompt fall detection alarms, non-invasive radio …

Octopus: A practical and versatile wideband MIMO sensing platform

Z Chen, T Zheng, J Luo - Proceedings of the 27th Annual International …, 2021 - dl.acm.org
Radio frequency (RF) technologies have achieved a great success in data communication.
In recent years, pervasive RF signals are further exploited for sensing; RF sensing has since …