Arabic Sign Language Recognition
Telescopic Vector Composition and Polar Accumulated Motion Residuals for Feature Extraction in Arabic Sign Language Recognition
... video-based Arabic sign language recognition, namely, motion representation through motion estimation and motion representation through motion ...deaf sign or ...
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Continuous Arabic Sign Language Recognition in User Dependent Mode
... Arabic Sign Language recognition is an emerging field of ...of Arabic Sign Language mainly focused on finger spelling and recognizing isolated ...continuous Arabic ...
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Arabic Sign Language Recognition through Deep Neural Networks Fine-Tuning
... The recent advancements in machine learning and deep learning, and the outstanding results obtained from Convolutional Neural Networks (CNN) in image classification and prediction, paved the way for researchers to apply ...
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Enhancing The Recognition Of Arabic Sign Language By Using Deep Learning And Leap Motion Controller
... use sign languages to communicate, a sign language consists of many expressions that can be expressed using actions of the body including hands and ...face. Sign languages are widely ...
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A Real-Time Letter Recognition Model for Arabic Sign Language Using Kinect and Leap Motion Controller v2
... accurate recognition of hand gestures in LMC, only one person should stay in the visible range, which is only 57 degrees in front of the device and 50 cm away from the device (users’ movement is ...
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Intelligent Arabic Sign Language to Arabic text Translation for Easy Deaf Communication
... gesture recognition technique to recognize Arabic sign language alphabet and converts it into voice ...nearest sign is selected and the corresponding sound clip is ...
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Review of Finger Spelling Sign Language Recognition
... gesture recognition, for the Human-Computer Interaction (HCI) based on shape ...the recognition of the hand ...interactive sign language system that is developed to help the deaf as well as ...
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Comparative Analysis On Sign Language Recognition System
... single language at ...their language properly and ...impaired sign language is used. Sign language recognition system acts as an intermediate communication platform ...
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Recognition of Arabic Sign Language (ArSL) Using Recurrent Neural Networks
... Next the feature extraction stage comes. This is im- plemented according to the color layers expanded from the segmented color regions. Thirty features are extracted, same features used by K. Assaleh and M. Al-Rousan ...
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Recognition of Arabic Sign Language Alphabet Using Polynomial Classifiers
... ArSL recognition system intro- duced in ...perform Arabic sign gestures in his/her ...in Arabic sign language that can be represented in 42 ges- ...
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Support of Arabic Sign Language Machine Translation based on Morphological processing
... translate arabic natural language to arabic sign language is designed in [10] based on knowledge base and image processing, the knowledge base solves the problem of few number of words ...
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Sign Language Recognition using Sub-Units
... HMMs are a proven technology for time series analysis and recognition. While they have been employed for sign recognition, they have issues due to the large training requirements. Kadir et al. (2004) ...
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Sign Language Recognition System for Disabled People
... and recognition performance of human hand ...spoken language and sign ...translates sign language into spoken language and vice ...
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Sign Language to Number by Neural Network
... deaf language to number recognition system. Sign language number recognition system lays down foundation for hand shape recognition which addresses real and current problems in ...
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Hand Gesture Recognition for Sign Language Transcription
... handwriting recognition are presented and the use of a CNN is studied; these studies show how the CNN eliminates the need for hand-crafted ...image recognition [5] taking advantage of NNs was raised due to ...
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Recognition of sign language using neural networks
... Two possible approaches could be taken to illustrating signs. The first is to capture footage of the signs being performed by actual signers. The advent of CD-ROM technology has made the storage and interactive access to ...
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Contour based Hand Pose Recognition for Sign Language Recognition
... Japanese sign language ...the recognition rate was approximately 90 % for close-dataset, 70 % for ...The recognition rate dropped consider- ably because diversities in bone structure of each ...
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Sign Language Recognition System For Deaf And Dumb People
... commercial sign language translation systems use the data-glove method, as it simple to acquire data on the bending of finger and 3D orientation of the hand using gloves ...
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IJCSMC, Vol. 3, Issue. 5, May 2014, pg.1223 – 1230 RESEARCH ARTICLE A Framework for MEMS Based Hand Gesture Recognition System for Controlling the Mouse Cursor using Wireless Technology
... According to the sensing technologies used to capture gestures, conventional researches on hand gesture recognition can be categorized into two main groups: data glove-based and computer vision-based techniques. ...
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Boltay Hath for Indian Sign Language Recognition
... The hand movement , body movement and facial expression can also used for conveying the information i.e. it also called manual communication. This type of communication is mostly used in deaf dump community. If one ...
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