Machine learning methods for sign language recognition: a critical review and analysis.
(2021)
Journal Article
ADEYANJU, I.A., BELLO, O.O. and ADEGBOYE, M.A. 2021. Machine learning methods for sign language recognition: a critical review and analysis. Intelligent systems with applications [online], 12, article 200056. Available from: https://doi.org/10.1016/j.iswa.2021.200056
Sign language is an essential tool to bridge the communication gap between normal and hearing-impaired people. However, the diversity of over 7000 present-day sign languages with variability in motion position, hand shape, and position of body parts... Read More about Machine learning methods for sign language recognition: a critical review and analysis..