Sign language images dataset from Mexican sign language

Abstract

Sign language is a complete language with its own grammatical rules, akin to any spoken language used worldwide. It comprises two main components: static words and ideograms. Ideograms involve hand movements and contact with various parts of the body to convey meaning. Variations in sign language are evident across different countries, necessitating comprehensive documentation of each country's sign language. In Mexico, there is a lack of formal datasets for Mexican Sign Language (MSL), to solve this issue we structure a dataset of 249 words of the MSL divided into 17 sub-sets, we use background and clothes of black color to enhance the areas of interest (hands and face), for each word we use an average of 11 individuals, from every video sequence we obtain an average of 15 frames from each individual, obtaining 31442 jpg images.

Keywords

• Image segmentation
• Hand gestures
• Frame sequences
• Ideogram