MOTION TRAJECTORY BASED HUMAN HAND TRACKING FOR SIGN LANGUAGE RECOGNITION
Jagdale Mrudula Dattatraya, Kasture Rushikesh Sunil, Jadhav Rushabh Pratap, Prof.M.M. Jadhav · IJARCCE · 2023
Sign language recognition is an important area of research with uses in a range of industries, including education, communication, and human-computer interaction.Trajectory-based human hand tracking is a popular technique for sign language recognition because it allows capturing dynamic hand movement during signing.This paper presents an overview of different trajectory-based human hand tracking methods, including template matching, featurebased tracking, and model-based tracking.This framework aims to accurately identify various one-handed dynamic isolated characters and interpret their intended meaning.Emphasis is placed on designing a system that can effectively recognize and interpret a wide variety of sign gestures, enabling effective communication and understanding between sign language users and individuals who do not know sign language.