Multi-Modal Fusion Sensing: A Comprehensive Review of Millimeter-Wave Radar and Its Integration With Other Modalities
Millimeter-wave (mmWave) radar, with its high resolution, sensitivity to micro-vibrations, and
adaptability to various environmental conditions, holds immense potential across multi …
adaptability to various environmental conditions, holds immense potential across multi …
Towards generalized mmwave-based human pose estimation through signal augmentation
The unprecedented advance of wireless human sensing is enabled by the proliferation of
the deep learning techniques, which, however, rely heavily on the completeness and …
the deep learning techniques, which, however, rely heavily on the completeness and …
A Survey of mmWave Radar-Based Sensing in Autonomous Vehicles, Smart Homes and Industry
Sensing technology plays a crucial role in bridging the physical and digital worlds. By
transforming a multitude of physical phenomena into digital data, it significantly enhances …
transforming a multitude of physical phenomena into digital data, it significantly enhances …
mm3DFace: Nonintrusive 3D facial reconstruction leveraging mmWave signals
Recent years have witnessed the emerging market of 3D facial reconstruction that supports
numerous face-driven scenarios including modeling in virtual reality (VR), human-computer …
numerous face-driven scenarios including modeling in virtual reality (VR), human-computer …
CAvatar: Real-time Human Activity Mesh Reconstruction via Tactile Carpets
Human mesh reconstruction is essential for various applications, including virtual reality,
motion capture, sports performance analysis, and healthcare monitoring. In healthcare …
motion capture, sports performance analysis, and healthcare monitoring. In healthcare …
Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors
This paper introduces a novel human pose estimation approach using sparse inertial
sensors addressing the shortcomings of previous methods reliant on synthetic data. It …
sensors addressing the shortcomings of previous methods reliant on synthetic data. It …
Soil Moisture Sensing with UAV-Mounted IR-UWB Radar and Deep Learning
Wide-area soil moisture sensing is a key element for smart irrigation systems. However,
existing soil moisture sensing methods usually fail to achieve both satisfactory mobility and …
existing soil moisture sensing methods usually fail to achieve both satisfactory mobility and …
DART: Implicit Doppler Tomography for Radar Novel View Synthesis
Simulation is an invaluable tool for radio-frequency system designers that enables rapid
prototyping of various algorithms for imaging target detection classification and tracking …
prototyping of various algorithms for imaging target detection classification and tracking …
Beamforming for Sensing: Hybrid Beamforming based on Transmitter-Receiver Collaboration for Millimeter-Wave Sensing
Previous mmWave sensing solutions assumed good signal quality. Ensuring an unblocked
or strengthened LoS path is challenging. Therefore, finding an NLoS path is crucial to …
or strengthened LoS path is challenging. Therefore, finding an NLoS path is crucial to …
milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing
Approaching the era of ubiquitous computing, human motion sensing plays a crucial role in
smart systems for decision making, user interaction, and personalized services. Extensive …
smart systems for decision making, user interaction, and personalized services. Extensive …