Static Hand Gesture ASL Dataset

Citation Author(s):
Raimundo
Farrapo Pinto Junior
Ialis
Cavalvante de Paula Junior
Submitted by:
Raimundo Pinto
Last updated:
Tue, 01/07/2020 - 11:15
DOI:
10.21227/gzpc-k936
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Abstract 

"The dataset was built by capturing the static gestures of the American Sign Language (ASL) alphabet, from 8 people, except for the letters J and Z, since they are dynamic gestures. To capture the images, we used a Logitech Brio webcam, with a resolution of 1920 × 1080 pixels, in a university laboratory with artificial lighting. By extracting only the hand region, we defined an area of 400 × 400 pixels for the final image of our dataset." removed from https://doi.org/10.1155/2019/4167890 .

Instructions: 

Original videos are located in directory "Original videos";

Filenames: first character gestures class (a_1-19.png), second character person gesture (a_1-19.png).

 

Using this dataset, also reference the paper:

Raimundo F. Pinto Jr., Carlos D. B. Borges, Antônio M. A. Almeida, and Iális C. Paula, Jr., “Static Hand Gesture Recognition Based on Convolutional Neural Networks,” Journal of Electrical and Computer Engineering, vol. 2019, Article ID 4167890, 12 pages, 2019. https://doi.org/10.1155/2019/4167890.

 

Dataset Files

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