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Video based hand gesture recognition dataset using thermal camera.
Birkeland, Simen; Fjeldvik, Lin Julie; Noori, Nadia; Yeduri, Sreenivasa Reddy; Cenkeramaddi, Linga Reddy.
  • Birkeland S; ACPS Group, Department of Information and Communication Technology, University of Agder, 4879, Norway.
  • Fjeldvik LJ; ACPS Group, Department of Information and Communication Technology, University of Agder, 4879, Norway.
  • Noori N; ACPS Group, Department of Information and Communication Technology, University of Agder, 4879, Norway.
  • Yeduri SR; ACPS Group, Department of Information and Communication Technology, University of Agder, 4879, Norway.
  • Cenkeramaddi LR; ACPS Group, Department of Information and Communication Technology, University of Agder, 4879, Norway.
Data Brief ; 54: 110299, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38524840
ABSTRACT
The dataset includes thermal videos of various hand gestures captured by the FLIR Lepton Thermal Camera. A large dataset is created to accurately classify hand gestures captured from eleven different individuals. The dataset consists of 9 classes corresponding to various hand gestures from different people collected at different time instances with complex backgrounds. This data includes flat/leftward, flat/rightward, flat/contract, spread/ leftward, spread/rightward, spread/contract, V-shape/leftward, V-shape/rightward, and V-shape/contract. There are 110 videos in the dataset for each gesture and a total of 990 videos corresponding to 9 gestures. Each video has data of three different (15/10/5) frame lengths.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article
Texto completo
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XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article