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Updating thermal imaging dataset of hand gestures with unique labels()

An update to the previously published low resolution thermal imaging dataset is presented in this paper. The new dataset contains high resolution thermal images corresponding to various hand gestures captured using the FLIR Lepton 3.5 thermal camera and Purethermal 2 breakout board. The resolution o...

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Detalles Bibliográficos
Autores principales: Yeduri, Sreenivasa Reddy, Breland, Daniel Skomedal, Pandey, Om Jee, Cenkeramaddi, Linga Reddy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8943409/
https://www.ncbi.nlm.nih.gov/pubmed/35341036
http://dx.doi.org/10.1016/j.dib.2022.108037
Descripción
Sumario:An update to the previously published low resolution thermal imaging dataset is presented in this paper. The new dataset contains high resolution thermal images corresponding to various hand gestures captured using the FLIR Lepton 3.5 thermal camera and Purethermal 2 breakout board. The resolution of the camera is [Formula: see text] with calibrated array of 19,200 pixels. The images captured by the thermal camera are light-independent. The dataset consists of 14,400 images with equal share from color and gray scale. The dataset consists of 10 different hand gestures. Each gesture has a total of 24 images from a single person with a total of 30 persons for the whole dataset. The dataset also contains the images captured under different orientations of the hand under different lighting conditions.