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RadarSense: Accurate Recognition of Mid-air Hand Gestures with Radar Sensing and Few Training Examples
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Two Dimensional Parameters Based Hand Gesture Recognition Algorithm for FMCW Radar Systems
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Doppler-Radar Based Hand Gesture Recognition System Using Convolutional Neural Networks
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Understanding and Using Context
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Hand gesture recognition using Leap Motion via deterministic learning
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A novel F-RCNN based hand gesture detection approach for FMCW systems
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Human motion recognition using ultra-wideband radar and cameras on mobile robot
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The Radar System – Technical Principles
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Millimeter-wave integrated radar systems and techniques
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gprMax: Open source software to simulate electromagnetic wave propagation for Ground Penetrating Radar
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The impact of motion dimensionality and bit cardinality on the design of 3D gesture recognizers
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Systematic literature reviews in software engineering – A tertiary study
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Reconstruction of sub-wavelength fractures and physical properties of masonry media using full-waveform inversion of proximal penetrating radar
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Intelligent Electromagnetic Sensing with Learnable Data Acquisition and Processing
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uWave: Accelerometer-based personalized gesture recognition and its applications
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A new drone-borne GPR for soil moisture mapping
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RadSense: Enabling one hand and no hands interaction for sterile manipulation of medical images using Doppler radar
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A Unifying Reference Framework for multi-target user interfaces
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UWB-gestures, a public dataset of dynamic hand gestures acquired using impulse radar sensors
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Dop‐NET: a micro‐Doppler radar data challenge
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Effect of sparsity‐aware time–frequency analysis on dynamic hand gesture classification with radar micro‐Doppler signatures
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Sparsity aware dynamic gesture recognition using radar sensors with angular diversity
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Hand Gesture Recognition Using Micro-Doppler Signatures With Convolutional Neural Network
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TS-I3D Based Hand Gesture Recognition Method With Radar Sensor
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Short-Range Radar Based Real-Time Hand Gesture Recognition Using LSTM Encoder
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Hand Pointing Gestures Based Digital Menu Board Implementation Using IR-UWB Transceivers
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Spectrum-Based Hand Gesture Recognition Using Millimeter-Wave Radar Parameter Measurements
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Short-Range Radar-Based Gesture Recognition System Using 3D CNN With Triplet Loss
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GestureVLAD: Combining Unsupervised Features Representation and Spatio-Temporal Aggregation for Doppler-Radar Gesture Recognition
inferredcites →https://doi.org/10.1109/access.2020.2994281openalex-snapshot
In-Air Continuous Writing Using UWB Impulse Radar Sensors
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Enhanced Multi-Channel Feature Synthesis for Hand Gesture Recognition Based on CNN With a Channel and Spatial Attention Mechanism
inferredcites →https://doi.org/10.1109/access.2020.3017869openalex-snapshot
A Gesture Air-Writing Tracking Method that Uses 24 GHz SIMO Radar SoC
inferredcites →https://doi.org/10.1109/access.2020.3023187openalex-snapshot
A Novel Detection and Recognition Method for Continuous Hand Gesture Using FMCW Radar
inferredcites →https://doi.org/10.1109/access.2020.3037062openalex-snapshot
Deep-Learning Methods for Hand-Gesture Recognition Using Ultra-Wideband Radar
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Proceedings of 1993 Asia Pacific Microwave Conference (APMC'93)
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inferredcites →https://doi.org/10.1109/ieeestd.2020.8999849openalex-snapshot
IEEE Standard Letter Designations for Radar-Frequency Bands
inferredcites →https://doi.org/10.1109/iembs.2003.1279435openalex-snapshot
Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
inferredcites →https://doi.org/10.1109/iros.1993openalex-snapshot
Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93)
inferredcites →https://doi.org/10.1109/jerm.2019.2949456openalex-snapshot
Hierarchical Sensor Fusion for Micro-Gesture Recognition With Pressure Sensor Array and Radar
inferredcites →https://doi.org/10.1109/jsen.2017.2679220openalex-snapshot
A Hand Gesture Recognition Sensor Using Reflected Impulses
inferredcites →https://doi.org/10.1109/jsen.2018.2808688openalex-snapshot
Latern: Dynamic Continuous Hand Gesture Recognition Using FMCW Radar Sensor
inferredcites →https://doi.org/10.1109/jsen.2018.2859815openalex-snapshot
Feature-Based Hand Gesture Recognition Using an FMCW Radar and its Temporal Feature Analysis
inferredcites →https://doi.org/10.1109/jsen.2019.2892073openalex-snapshot
Hand-Gesture Recognition Using Two-Antenna Doppler Radar With Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/jsen.2019.2910810openalex-snapshot
u-DeepHand: FMCW Radar-Based Unsupervised Hand Gesture Feature Learning Using Deep Convolutional Auto-Encoder Network
inferredcites →https://doi.org/10.1109/jsen.2019.2922395openalex-snapshot
Character Recognition in Air-Writing Based on Network of Radars for Human-Machine Interface
inferredcites →https://doi.org/10.1109/jsen.2020.2994292openalex-snapshot
Real-Time Radar-Based Gesture Detection and Recognition Built in an Edge-Computing Platform
inferredcites →https://doi.org/10.1109/jsen.2020.3004581openalex-snapshot
Automatic Arm Motion Recognition Based on Radar Micro-Doppler Signature Envelopes
inferredcites →https://doi.org/10.1109/jssc.2020.2967547openalex-snapshot
A Time Domain Artificial Intelligence Radar System Using 33-GHz Direct Sampling for Hand Gesture Recognition
inferredcites →https://doi.org/10.1109/lgrs.2020.2974821openalex-snapshot
Dynamic Hand Gesture Recognition Based on Micro-Doppler Radar Signatures Using Hidden Gauss–Markov Models
inferredcites →https://doi.org/10.1109/lra.2022.3143200openalex-snapshot
Radar-Based Materials Classification Using Deep Wavelet Scattering Transform: A Comparison of Centimeter vs. Millimeter Wave Units
inferredcites →https://doi.org/10.1109/lsens.2018.2810093openalex-snapshot
Gesture Recognition Using mm-Wave Sensor for Human-Car Interface
inferredcites →https://doi.org/10.1109/lsens.2018.2866371openalex-snapshot
Hand Gesture Recognition Using a Radar Echo I–Q Plot and a Convolutional Neural Network
inferredcites →https://doi.org/10.1109/lsens.2018.2882642openalex-snapshot
Robust Gesture Recognition Using Millimetric-Wave Radar System
inferredcites →https://doi.org/10.1109/lsens.2019.2953022openalex-snapshot
Pulsed Millimeter Wave Radar for Hand Gesture Sensing and Classification
inferredcites →https://doi.org/10.1109/lsens.2020.3033586openalex-snapshot
Robust Doppler-Based Gesture Recognition With Incoherent Automotive Radar Sensor Networks
inferredcites →https://doi.org/10.1109/mmm.2019.2915490openalex-snapshot
Motion Sensing Using Radar: Gesture Interaction and Beyond
inferredcites →https://doi.org/10.1109/taes.2017.2761229openalex-snapshot
Sparsity-Driven Micro-Doppler Feature Extraction for Dynamic Hand Gesture Recognition
inferredcites →https://doi.org/10.1109/tcsvt.2015.2469551openalex-snapshot
Survey on 3D Hand Gesture Recognition
inferredcites →https://doi.org/10.1109/tgrs.2004.834800openalex-snapshot
Modeling of ground-penetrating Radar for accurate characterization of subsurface electric properties
inferredcites →https://doi.org/10.1109/tgrs.2006.888136openalex-snapshot
Filtering Soil Surface and Antenna Effects From GPR Data to Enhance Landmine Detection
inferredcites →https://doi.org/10.1109/tgrs.2009.2031907openalex-snapshot
Soil Surface Water Content Estimation by Full-Waveform GPR Signal Inversion in the Presence of Thin Layers
inferredcites →https://doi.org/10.1109/tgrs.2013.2259243openalex-snapshot
Full-Wave Modeling of Near-Field Radar Data for Planar Layered Media Reconstruction
inferredcites →https://doi.org/10.1109/tgrs.2016.2556862openalex-snapshot
Fundamental Analyses on Layered Media Reconstruction Using GPR and Full-Wave Inversion in Near-Field Conditions
inferredcites →https://doi.org/10.1109/tgrs.2020.2985421openalex-snapshot
Negative Latency Recognition Method for Fine-Grained Gestures Based on Terahertz Radar
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Multidimensional Feature Representation and Learning for Robust Hand-Gesture Recognition on Commercial Millimeter-Wave Radar
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Effect of Radar Incident Angle on Full-Wave Inversion for the Retrieval of Medium Surface Permittivity for Drone-Borne Applications
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Detecting Mid-Air Gestures for Digit Writing With Radio Sensors and a CNN
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mmWave Radar-based Hand Gesture Recognition using Range-Angle Image
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Gesture recognition using symbolic aggregate approximation and dynamic time warping on motion data
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Radar sensing in human-computer interaction
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inferredcites →https://doi.org/10.1145/3287078openalex-snapshot
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Real-time Arm Gesture Recognition in Smart Home Scenarios via Millimeter Wave Sensing
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inferredcites →https://doi.org/10.1145/3532211openalex-snapshot
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Hand-Based Gesture Recognition for Vehicular Applications Using IR-UWB Radar
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No Interface, No Problem: Gesture Recognition on Physical Objects Using Radar Sensing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Current State and Future Research Directions of Radar-Based Human-Computer Interaction
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Comparative Testing of Radar Signal Representations When Sensing Through Materials
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Novel Gestural Interactions in Smart Buildings by Radar-Based Sensing
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Radar-Based Gesture Recognition on Deformable Objects
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Exploration of Historical and Modern Perspective on Hand Gesture Recognition with AI and ML
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Analysis of User-Defined Radar-Based Hand Gestures Sensed Through Multiple Materials
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Gesture Recognition with USF-Radars: Modulo Pre-Processing Enhances Classification
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Gesture Recognition with Residual Attention Using Commodity Millimeter Wave Radar
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An Electromagnetic Model and Inversion-Based Approach for Radar Gesture Recognition
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FORTE: Few Samples for Recognizing Hand Gestures with a Smartphone-attached Radar
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Improving mmWave based Hand Hygiene Monitoring through Beam Steering and Combining Techniques
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Gesture Recognition on Deformable Objects Using Millimeter-Wave Radar
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Comparative Testing of 2D Stroke Gesture Recognizers in Multiple Contexts
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Turning Gesture Sequences into Gesture Composition by Macro-Instructions: Definition, Framework, and Application in Smart Home EICS016
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Unobtrusive hand gesture recognition using ultra-wide band radar and deep learning
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