Speak in Colombian Sign Language: A Dynamic LSC70 Database

Published: 18 September 2024| Version 2 | DOI: 10.17632/9ssyn8tff5.2
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Description

The dynamic LSC70 database consists of a collection of images of Colombian Sign Language (LSC), created to support research in artificial intelligence for developing sign language recognition applications that promote the social inclusion of individuals with hearing disabilities. This database was developed with the participation of 70 volunteers and contains 47 signs in transitions of six frames. It comprises a total of 35,208 images, including signs of the alphabet, numbers, and common words. Additionally, the dataset is divided into three sections: LSC70AN, which includes full-body signs of the alphabet and numbers with a resolution of 640x480 pixels; LSC70ANH, which similarly covers alphanumeric signs but focuses on the dominant hand of the volunteers with a resolution of 120x120 pixels; and LSC70W, which encompasses common words used in basic conversations, such as greetings and identifications, also at 640x480 pixels. Each sign was recorded under uncontrolled lighting and clothing conditions using a cellphone and was later filtered to remove duplicates and enhance the quality of the database. The images are in JPG format and organized in folders by volunteer and sign, facilitating their use in research and the development of sign language recognition models.

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Institutions

Universidad del Cauca

Categories

Machine Learning, Sign Language, Colombia, Deafness, Inclusion, Deep Learning

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