ArticleScientific data2021
UWB-gestures, a public dataset of dynamic hand gestures acquired using impulse radar sensors.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 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
- A high-resolution and whole-body dataset of hand-object contact areas based on 3D scanning method.Scientific data · 2025Article
- Checkpoint data-driven GCN-GRU vehicle trajectory and traffic flow prediction.Scientific reports · 2024Article
- Introducing an indoor object classification dataset including sparse point clouds from mmWave radar.Scientific data · 2024Article
- A public dataset of dogs vital signs recorded with ultra wideband radar and reference sensors.Scientific data · 2024Article
- Radar human breathing dataset for applications of ambient assisted living and search and rescue operations.Data in brief · 2023Article
- Driving Activity Recognition Using UWB Radar and Deep Neural Networks.Sensors (Basel, Switzerland) · 2023Article
- A comprehensive ultra-wideband dataset for non-cooperative contextual sensing.Scientific data · 2022Article
- OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors.Scientific data · 2022Article
- The State-of-the-Art Sensing Techniques in Human Activity Recognition: A Survey.Sensors (Basel, Switzerland) · 2022Article
- Preclinical trial of noncontact anthropometric measurement using IR-UWB radar.Scientific reports · 2022Article
- UWB-gestures, a public dataset of dynamic hand gestures acquired using impulse radar sensors.Scientific data · 2021Article
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Authors and funding
4 authors.
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Abstract
In the past few decades, deep learning algorithms have become more prevalent for signal detection and classification. To design machine learning algorithms, however, an adequate dataset is required. Motivated by the existence of several open-source camera-based hand gesture datasets, this descriptor presents UWB-Gestures, the first public dataset of twelve dynamic hand gestures acquired with ultra-wideband (UWB) impulse radars. The dataset contains a total of 9,600 samples gathered from eight different human volunteers. UWB-Gestures eliminates the need to employ UWB radar hardware to train and test the algorithm. Additionally, the dataset can provide a competitive environment for the research community to compare the accuracy of different hand gesture recognition (HGR) algorithms, enabling the provision of reproducible research results in the field of HGR through UWB radars. Three radars were placed at three different locations to acquire the data, and the respective data were saved independently for flexibility.
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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.