Detection and Conversion of Dactylology to Speech

Detection and Conversion of Dactylology to Speech

G L Naga Hari Prasath
Department of Computing Technologies,
SRM Institute of Science and Technology,
Chennai, India.
gn1729@srmist.edu.in

Naveen A
Department of Computing Technologies,
SRM Institute of Science and Technology,
Chennai, India.
na7277@srmist.edu.in

SREEKUMAR K
Department of Computing Technologies,
SRM Institute of Science and Technology,
Chennai, India.
sreekumk@srmist.edu.in

Abstract— Hand gestures are one of the nonverbal communication modalities used in sign language. When deaf or dumb persons have hearing or speech problems, they use it to communicate with others or among themselves. Regular people can connect and communicate with one another with ease, but those with hearing and speaking impairments have difficulty doing so without a translator. Moreover, it can be difficult for them to converse with people who are blind. Various sign language systems have been developed around the world, but they are neither adaptable nor cost-effective for end users. As a result, software that can automatically recognize sign language is shown as a proposed method in this study in order to enable deaf and dumb individuals to communicate with normal people and each other more efficiently. In addition, our approach facilitates communication between blind and deaf individuals by translating identified sign language into voice using NLP techniques.