Patent
Automated sign language recognition
TLDR
A sign language recognizer is configured to detect interest points in an extracted sign language feature, wherein the interest points are localized in space and time in each image acquired from a plurality of frames of a sign language video.Abstract:
A sign language recognizer is configured to detect interest points in an extracted sign language feature, wherein the interest points are localized in space and time in each image acquired from a plurality of frames of a sign language video; apply a filter to determine one or more extrema of a central region of the interest points; associate features with each interest point using a neighboring pixel function; cluster a group of extracted sign language features from the images based on a similarity between the extracted sign language features; represent each image by a histogram of visual words corresponding to the respective image to generate a code book; train a classifier to classify each extracted sign language feature using the code book; detect a posture in each frame of the sign language video using the trained classifier; and construct a sign gesture based on the detected postures.read more
Citations
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Journal ArticleDOI
DeepArSLR: A Novel Signer-Independent Deep Learning Framework for Isolated Arabic Sign Language Gestures Recognition
Saleh Aly,Walaa Aly +1 more
TL;DR: Experimental results show that the performance of proposed framework outperforms with large margin the state-of-the-art methods for signer-independent testing strategy.
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TL;DR: In this paper, a real-time identification of a gesture communicated by a subject includes receiving, by a first thread of the one or more multi-threaded processors, a first set of image frames associated with the gesture.
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TL;DR: In this paper, a method for training a sign language translation system includes generating a three-dimensional (3D) scene that includes a 3D model simulating a gesture that represents a letter, a word, or a phrase in sign language.
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TL;DR: In this paper, the authors described a sign language recognition system with a primary display facing a first direction and a secondary display facing the second direction. But the primary display was not equipped with a microphone.
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Data processing architecture for improved data flow
TL;DR: In this paper, the authors present methods, apparatus and systems for improving data management and workload distribution in pattern recognition systems, including a method of managing data for a sign language translation system that receives multiple sets of data acquired by one or more data acquisition devices.
References
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Patent
Methods and Systems for Applications for Z-numbers
TL;DR: The concept of a Z-number relates to the issue of reliability of information as discussed by the authors, and it has many applications in the realms of economics, decision analysis, risk assessment, prediction, anticipation, rule-based characterization of imprecise functions and relations, and biomedicine.
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Masaru Ohki,Hirohiko Sagawa,Tomoko Sakiyama,Hisashi Ikeda,Hiromichi Fujisawa,Nobuo Hataoka,Youichi Kaneko +6 more
TL;DR: In this paper, a sign language telephone device is offered which enables an aurally handicapped person to converse with a normal person at a distant place who does not know the sign language.
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TL;DR: In this paper, a sign language interpretation apparatus for performing sign language recognition and sign language generation generates easily read sign language computer graphics (CG) animation by preparing sign language word CG patterns on the basis of actual motion of the hand through the use of a glove type sensor to generate natural sign language CG animation, and by applying correction to the sign language words CG patterns.
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TL;DR: In this paper, a computer implemented method for performing sign language translation based on movements of a user is provided, where a capture device detects motions defining gestures and detected gestures are matched to signs.