Birkeland S, Fjeldvik LJ, Noori N, Yeduri SR, Cenkeramaddi LR. Video based hand gesture recognition dataset using thermal camera.
Data Brief 2024;
54:110299. [PMID:
38524840 PMCID:
PMC10957456 DOI:
10.1016/j.dib.2024.110299]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 03/01/2024] [Accepted: 03/01/2024] [Indexed: 03/26/2024] Open
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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