ArticleSensors (Basel, Switzerland)2020
Hand Gesture Recognition Using an IR-UWB Radar with an Inception Module-Based Classifier.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Neuromorphic-inspired multi-view global-local fusion for IR-UWB radar dynamic gesture recognition.Frontiers in neuroscience · 2026Article
- Real-Time Radar-Based Hand Motion Recognition on FPGA Using a Hybrid Deep Learning Model.Sensors (Basel, Switzerland) · 2025Article
- Extending the Coverage of IEEE 802.15.4z HRP UWB Ranging.Sensors (Basel, Switzerland) · 2025Article
- Hand Gesture Recognition on Edge Devices: Sensor Technologies, Algorithms, and Processing Hardware.Sensors (Basel, Switzerland) · 2025Review
- Distance and Angle Insensitive Radar-Based Multi-Human Posture Recognition Using Deep Learning.Sensors (Basel, Switzerland) · 2024Article
- A public dataset of dogs vital signs recorded with ultra wideband radar and reference sensors.Scientific data · 2024Article
- Vision Transformers (ViT) for Blanket-Penetrating Sleep Posture Recognition Using a Triple Ultra-Wideband (UWB) Radar System.Sensors (Basel, Switzerland) · 2023Article
- Markerless Radio Frequency Indoor Monitoring for Telemedicine: Gait Analysis, Indoor Positioning, Fall Detection, Tremor Analysis, Vital Signs and Sleep Monitoring.Sensors (Basel, Switzerland) · 2022Review
- Effects of Receiver Beamforming for Vital Sign Measurements Using FMCW Radar at Various Distances and Angles.Sensors (Basel, Switzerland) · 2022Article
- Exploring Silent Speech Interfaces Based on Frequency-Modulated Continuous-Wave Radar.Sensors (Basel, Switzerland) · 2022Article
- DCCAM-MRNet: Mixed Residual Connection Network with Dilated Convolution and Coordinate Attention Mechanism for Tomato Disease Identification.Computational intelligence and neuroscience · 2022Article
- Highly-Optimized Radar-Based Gesture Recognition System with Depthwise Expansion Module.Sensors (Basel, Switzerland) · 2021Article
- Wise Information Technology of Med: Human Pose Recognition in Elderly Care.Sensors (Basel, Switzerland) · 2021Article
- Foot Gesture Recognition Using High-Compression Radar Signature Image and Deep Learning.Sensors (Basel, Switzerland) · 2021Article
- UWB-gestures, a public dataset of dynamic hand gestures acquired using impulse radar sensors.Scientific data · 2021Article
- Recognizing Non-Collaborative Radio Station Communication Behaviors Using an Ameliorated LeNet.Sensors (Basel, Switzerland) · 2020Article
- Doppler-Spectrum Feature-Based Human-Vehicle Classification Scheme Using Machine Learning for an FMCW Radar Sensor.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The emerging integration of technology in daily lives has increased the need for more convenient methods for human-computer interaction (HCI). Given that the existing HCI approaches exhibit various limitations, hand gesture recognition-based HCI may serve as a more natural mode of man-machine interaction in many situations. Inspired by an inception module-based deep-learning network (GoogLeNet), this paper presents a novel hand gesture recognition technique for impulse-radio ultra-wideband (IR-UWB) radars which demonstrates a higher gesture recognition accuracy. First, methodology to demonstrate radar signals as three-dimensional image patterns is presented and then, the inception module-based variant of GoogLeNet is used to analyze the pattern within the images for the recognition of different hand gestures. The proposed framework is exploited for eight different hand gestures with a promising classification accuracy of 95%. To verify the robustness of the proposed algorithm, multiple human subjects were involved in data acquisition.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.