DATASET FOR AMERICAN SIGN LANGUAGE

  • Shazia Saqib Lahore Garrison University
Keywords: Datasets, hand gestures recognition, ASL, HCI and Feature Extraction

Abstract

For the deaf and dumb people, sign languages are the only path of communication. With the help of sign languages, physically disabled people can convey their feelings, emotions, and thoughts to other people. Since, for the common person, it is very complicated to understand these languages, these physically disabled persons are dependent on a, who interacts with the world to convey their thoughts and feelings. For the production of these sign languages, it was necessary to develop an efficient dataset. With 26 English alphabetical hand gesture images. Further, segmentation and classification are applied to datasets. This paper provides guidelines for the creation and selection of datasets.

Published
2017-12-29
How to Cite
Shazia Saqib. (2017). DATASET FOR AMERICAN SIGN LANGUAGE. Lahore Garrison University Research Journal of Computer Science and Information Technology, 1(4), 1-12. https://doi.org/10.54692/lgurjcsit.2017.01049
Section
Articles