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Found 7 papers, 0 papers with code
Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition
The proposed method aims to generate synthetic time-series sensor data without relying on labeled data, addressing the scarcity and annotation difficulties associated with real-world sensor data.
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Human Activity Recognition
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Generative Adversarial Network
Human Activity Recognition
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User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars
Since electromagnetic signals are omnipresent, Radio Frequency (RF)-sensing has the potential to become a universal sensing mechanism with applications in localization, smart-home, retail, gesture recognition, intrusion detection, etc.
Energy-Efficient Design for RIS-assisted UAVcommunications in beyond-5G Networks
The usage of Reconfigurable Intelligent Surfaces (RIS) in conjunction with Unmanned Ariel Vehicles (UAVs) is being investigated as a way to provide energy-efficient communication to ground users in dense urban areas.
Integrating Sensing and Communication in Cellular Networks via NR Sidelink
Since electromagnetic signals, through cellular communication systems, are omnipresent, RF sensing has the potential to become a universal sensing mechanism with applications in smart home, retail, localization, gesture recognition, intrusion detection, etc.
Tesla-Rapture: A Lightweight Gesture Recognition System from mmWave Radar Point Clouds
To tackle this issue, we developed Tesla, a Message Passing Neural Network (MPNN) graph convolution approach for mmWave radar point clouds.
A cloud-IoT platform for passive radio sensing: challenges and application case studies
Radio sensing and vision technologies allow to passively detect and track objects or persons by using radio waves as probe signals that encode a 2D/3D view of the environment they propagate through.
A Multisensory Edge-Cloud Platform for Opportunistic Radio Sensing in Cobot Environments
Worker monitoring and protection in collaborative robot (cobots) industrial environments requires advanced sensing capabilities and flexible solutions to monitor the movements of the operator in close proximity of moving robots.
