Autor: |
Simen Birkeland, Lin Julie Fjeldvik, Nadia Noori, Sreenivasa Reddy Yeduri, Linga Reddy Cenkeramaddi |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
Data in Brief, Vol 54, Iss , Pp 110299- (2024) |
Druh dokumentu: |
article |
ISSN: |
2352-3409 |
DOI: |
10.1016/j.dib.2024.110299 |
Popis: |
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. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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