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...
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...
Sign Language Recognition using sEMG and IMU 来自 Semantic Scholar 喜欢 0 阅读量: 6 作者:M Sequeira,G Naik,J Parab,R Gad 摘要: the voiceless community of our society use sign language to communicate their views to the general public. Sign Language is basically making gestures by combining ...
Using a simple Markov model to combine the sub-unit classifiers allows sign level classifiation giving an average of 63\%, over a 164 sign lexicon, with no grammatical constraints. 展开 关键词: HMM signer-independent sign language recognition (SISLR manifold tangent vectors TV/HMM ...
Towards Robust Recognition of Sign Language. Sign language recognition is gaining more attention from researchers, because of its wide applications in many areas, such as communication systems for dea... A Ragab - Wilfrid Laurier University (Canada). 被引量: 0发表: 2013年 "Novel Technique for ...
A real-time system for sign language recognition via hand gestures is proposed in this paper. Hands postures are detected and hand gestures are recognized based on features of hand which are extracted using the Haar-Like features. K-means clustering algorithm is used to reduce the number of ext...
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 ...
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...
Deaf people use systems for communication based on sign language and fingerspelling. Manual spelling or finger- spelling is based on the alphabet, where each letter is represented by an unique movement of the hand. Hand-shapes corresponding to letter of the alphabet can be characterized using appe...