Synthetic Hand Gesture Datasets - Digits and ASL

Citation Author(s):
Pranav Vaidik
Dhulipala
Texas A&M University
Samuel
Oncken
Texas A&M University
Steven
Claypool
Texas A&M University
Stavros
Kalafatis
Texas A&M University
Submitted by:
Pranav Dhulipala
Last updated:
Fri, 11/22/2024 - 12:37
DOI:
10.21227/fje6-1t56
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Abstract 

The ability to train a robot to recognize human gestures is critical in enabling close proximity to Human-Robot Interaction (HRI). To that end, generating the appropriate dataset for the corresponding Machine Learning (ML) algorithm is essential. In this work, we introduced new datasets for hand gesture recognition. Given the complexity of generating thousands of physical hand gestures, we started with the basic hand gestures and developed additional synthetic gestures thus creating a comprehensive set.

Instructions: 

The zip file contains two datasets, one for ASL and the other for Digits. The images are separated based on their classes as their folder names. All image files are in jpeg format