UWB-gestures, a public dataset of dynamic hand gestures acquired using impulse radar sensors
- Title
- UWB-gestures, a public dataset of dynamic hand gestures acquired using impulse radar sensors
- Author
- 샤하자드아흐메드
- Issue Date
- 2020-12
- Publisher
- NATURE PUBLISHING GROUP
- Citation
- SCIENTIFIC DATA, v. 8, no. 1, article no. 102, page. 1-12
- 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.
- URI
- https://www.nature.com/articles/s41597-021-00876-0https://repository.hanyang.ac.kr/handle/20.500.11754/173166
- ISSN
- 2052-4463
- DOI
- 10.1038/s41597-021-00876-0
- Appears in Collections:
- INDUSTRY-UNIVERSITY COOPERATION FOUNDATION[S](산학협력단) > ETC
- Files in This Item:
- UWB-gestures, a public dataset of dynamic hand gestures acquired using impulse radar sensors.pdfDownload
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