mmWave sensing
PulseAugur coverage of mmWave sensing — every cluster mentioning mmWave sensing across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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GRADE system uses generative AI to improve radar depth estimation in poor visibility
Researchers have developed GRADE, a novel system for estimating high-fidelity metric depth from single-frame radar data, particularly under challenging visual conditions like smoke, fog, and darkness. GRADE leverages a …
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New framework uses daily activities for mmWave person identification
Researchers have developed a new framework for person identification using millimeter-wave (mmWave) sensing that goes beyond traditional gait analysis. This approach leverages various activities of daily living (ADLs) t…
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Graph Neural Networks Optimize mmWave Beamforming Using Sub-6 GHz CSI
Researchers have developed a novel beamforming method for millimeter-wave (mmWave) cell-free massive MIMO systems that utilizes graph neural networks (GNNs) to learn beamformers from sub-6 GHz channel state information …
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UAV-gNB control system integrates aerial placement with per-user scheduling
Researchers have developed a hierarchical control system for tethered mmWave UAV-gNBs that integrates aerial placement with per-user scheduling. This system utilizes O-RAN disaggregation and a multi-timescale RIC archit…
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New benchmark enables LLMs to understand mmWave radar data
Researchers have developed a novel method to enable large language models (LLMs) to process and understand millimeter-wave (mmWave) radar data. This approach involves converting mmWave point clouds into natural language…
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New multimodal system enhances fall detection for elderly in bathrooms
Researchers have developed P2MFDS, a novel multimodal system designed to detect falls among elderly individuals in bathroom environments. This system integrates millimeter-wave radar and 3D vibration sensing to overcome…
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New ML framework enhances 6G localization with RIS and mmWave sensing
Researchers have developed a new machine learning framework for precise localization in 6G networks utilizing reconfigurable intelligent surfaces (RIS) and millimeter-wave (mmWave) sensing. This method maps received sig…
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New mmWave-language model mmMind bridges gap between radar sensing and LLMs
Researchers have developed mmMind, a novel radar-language model designed to enable large language models to understand human behavior in physical spaces. This model utilizes synchronized 3D pose data during training as …
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Wave2Body framework uses radar to translate signals into human pose estimates
Researchers have introduced Wave2Body, a novel framework for human pose estimation using millimeter-wave (mmWave) radar. Unlike previous methods that directly regress joint coordinates, Wave2Body decouples learning targ…
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HybridSim simulator generates realistic mmWave radar signals for human sensing
Researchers have developed HybridSim, a novel physics-learning hybrid simulator designed to generate realistic mmWave radar signals for dynamic human motion. This tool synthesizes signals by decoupling propagation into …
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Privacy-preserving ergonomic assessment uses mmWave radar for REBA scoring
Researchers have developed a novel framework for privacy-preserving ergonomic assessments using millimetre-wave (mmWave) radar. This system reconstructs 3D human skeletons from radar data to estimate Rapid Entire Body A…
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New dataset and model tackle heterogeneous mmWave action recognition
Researchers have introduced UniMM-HAR, a new dataset designed to address the challenges of heterogeneous multi-source scenarios in millimeter-wave (mmWave) radar human action recognition. This dataset is the largest of …
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New system GaMi identifies materials using mmWave and acoustic sensing
Researchers have developed GaMi, a new system for identifying materials without physical contact, integrating mmWave and acoustic sensing. GaMi addresses challenges posed by varying object geometry and single-sensor lim…
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mmWave Radar Scans Offer Non-Intrusive Body Composition Assessment
Researchers have developed new methods for assessing body composition using millimeter-wave (mmWave) radar scans, which can penetrate clothing and preserve privacy. One approach uses multi-task learning to predict visce…
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Camera-primed AI system VIBE improves mmWave beam management for vehicles
Researchers have developed a new system called VIsion-based BEamforming (VIBE) to improve real-time beam management for millimeter-wave (mmWave) vehicular connectivity. VIBE combines machine learning, model-based reason…
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SwiftChannel framework co-designs AI hardware for faster 5G channel estimation
Researchers have developed SwiftChannel, a novel algorithm-hardware co-design framework for deep learning-based 5G channel estimation. This framework integrates a hardware-friendly convolutional neural network with a de…
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MAEPose uses self-supervised learning for radar video human pose estimation
Researchers have developed MAEPose, a novel self-supervised approach for human pose estimation using mmWave radar video. This method directly processes spectrogram videos, learning spatiotemporal representations from un…
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DGHMesh dataset and mmPTM framework advance mmWave radar human mesh reconstruction
Researchers have introduced DGHMesh, a large-scale dataset and benchmark designed to improve human mesh reconstruction using millimeter-wave (mmWave) radar. The dataset includes synchronized data from radar, RGB images,…