Dynamic Sign Language Recognition (DSLR) is a vital area of research with applications in human鈥揷omputer interaction, accessibility, and communication. This study explores the utilization of Machine Learning (ML) and Deep Learning (DL) techniques for DSLR, bridging the gap between computer vision...
Sign Language Recognition Using a Combination of New Vision Based Features. Pattern Recogn. Lett., vol. 32, no.4, pp.572-577, March, 201Zaki, M.M., Shaheen, S.I.: Sign language recognition using a combination of new vision based features. Pattern Recognition Letters 32(4), 572–577...
Language: All Sort: Most stars Arshad221b / Sign-Language-Recognition Star 153 Code Issues Pull requests Indian Sign language Recognition using OpenCV opencv deep-learning sign-language-recognition-system sign-language-recognizer machine-learning-projects sign-language-recognition deep-learning-projects...
Contains code of my 8th semester major project, part of my final year project in college! deep-learningneural-networktensorflownumpykerascnnsensor-dataknowledge-distillationindian-sign-language UpdatedAug 5, 2022 Python This is a demonstration of hand pose recognition implemented using a Flask backend ...
Sign language forms a communication channel among the deaf; however, automated gesture recognition could further expand their communication with the hearers. In this work, data from five-channel surface electromyogram and 3-D accelerometer from the signer's dominant hand were analyzed using intrinsic-...
Enhancing communication between the deaf community and the people outside makes Sign Language Recognition (SLR) crucial element in present day research. We present a deep learning model for Sign Language (SL) alphabet recognition utilizing Long Short-Term Memory (LSTM) networks. This SLR system is...
Modelling and segmenting subunits is one of the important topics in sign language study. Many scholars have proposed the functional definition to subunits ... J Han,G Awad,A Sutherland - 《Pattern Recognition Letters》 被引量: 110发表: 2009年 Hand shape classification using DTW and LCSS as ...
Sign Language Recognition Using Kinect An open source framework for general gesture recognition is presented and tested with isolated signs of sign language. Other than common systems for sign language recognition, this framework makes use of Kinect, a depth camera which make... S Lang,Marco G Bl...
This paper discusses sign language recognition using linguistic sub-units. It presents three types of sub-units for consideration; those learnt from appearance data as well as those inferred from both 2D or 3D tracking data. These sub-units are then combined using a sign level classier; here,...
SIGN LANGUAGE RECOGNITION INTRODUCTION Sign language is a type of language that uses manual communication to convey meaningful messages to other people. This includes simultaneous employing of hand gestures, movement, orientation of the fingers, arms or body, and facial expressions to convey a speaker...