[HTML][HTML] Deep learning and transfer learning for device-free human activity recognition: A survey
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 …
computer interaction, which shows its strength in its convenience and cost-efficiency …
Advanced deep learning models for 6G: overview, opportunities and challenges
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 …
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
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 …
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
The increasingly deeper neural networks hinder the democratization of privacy-enhancing
distributed learning, such as federated learning (FL), to resource-constrained devices. To …
distributed learning, such as federated learning (FL), to resource-constrained devices. To …
Mobi2Sense: empowering wireless sensing with mobility
Besides the conventional communication function, wireless signals are actively exploited for
sensing purposes recently. However, a missing component of existing wireless sensing is …
sensing purposes recently. However, a missing component of existing wireless sensing is …
Fedsn: A federated learning framework over heterogeneous leo satellite networks
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 …
deployed successfully in space. Due to multimodal sensors equipped by the LEO satellites …
Fedsn: A general federated learning framework over leo satellite networks
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 …
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 …
gesture recognition systems. While promising, existing RF-based gesture solutions have …
SiFall: Practical online fall detection with RF sensing
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 …
order to prevent death by sending prompt fall detection alarms, non-invasive radio …
Octopus: A practical and versatile wideband MIMO sensing platform
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 …
In recent years, pervasive RF signals are further exploited for sensing; RF sensing has since …