Open AccessAccessible System for Sign Language Computation
Author(s) -
Patel Harshil,
Jeetesh V. Patel,
Patel Smit,
Thakkar Mayur,
Sheshang Degadwala
Publication year - 2021
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit217255
Subject(s) - gesture , sign language , gesture recognition , computer science , sign (mathematics) , speech recognition , feature (linguistics) , sign system , natural language processing , body language , artificial intelligence , human–computer interaction , communication , linguistics , psychology , mathematics , mathematical analysis , philosophy
Sign Language is most accepted and purposeful way of communication for deaf and mute folks of the society. signing uses gestures, head/body movements and facial expressions for communication. it's a strong manner of Non-Verbal communication among humans. each country has its own developed signing. The language which is employed in Bharat is named as “Indian Sign Language (ISL)”. terribly lessresearch work has been carried out during this space as ISL has standardized recently. presently several researchers have primarily focused on gesture recognition that has beenrecorded underneath static hand gesture. solely few works have been reported for recognition of dynamic hand gesture. several ways are developed to recognize alphabets and numbers of ISL. The major steps concerned in planning such a system area unit gesture acquisition, trailing and segmentation, feature extraction and gesture recognition. This paper presents a survey on varied hand gesture recognition approaches for ISL.General Terms : Hand Gesture Recognition, Human computer interaction, YOLO3