Data Acquisition Software for Sign Language Recognition
نویسندگان
چکیده
منابع مشابه
Gesture Acquisition and Recognition of Sign Language
Differently abled people face a variety of different issue and problems that cut them off from their surroundings. Regardless of all the advancement, we cannot ignore the fact that the conditions provided by the society for the deaf and hard hearing are still far from being perfect. The communication with deaf and hard hearing by means of written text is not as efficient as it might seem at fir...
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Current automatic sign language recognition (ASLR) seldom uses perceptual knowledge about the recognition of sign language. Using such knowledge can improve ASLR because it can give an indication which elements or phases of a sign are important for its meaning. Also, the current generation of data-driven ASLR methods has shortcomings which may not be solvable without the use of knowledge on hum...
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Sign language recognition has spawned more and more interest in human–computer interaction society. The major challenge that SLR recognition faces now is developing methods that will scale well with increasing vocabulary size with a limited set of training data for the signer independent application. The automatic SLR based on hidden Markov models (HMMs) is very sensitive to gesture's shape inf...
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One of the essential steps in pattern recognition is having a training set that contains diversity of exemplars. This step is a major obstacle in sign language recognition. The availability of large public corpus with diversity of examples is limited due to the large number of degrees of freedom inherent in sign language hand gestures and the major variances between different signers. This caus...
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For the past two years we have been addressing the challenges involved in managing the data generated within immersive environments. We together with many other researchers have addressed the management of obvious data types such as image, video, audio and text. However, we identified a set of less familiar data types, collectively termed as immersidata, that are specific to immersive environme...
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ژورنال
عنوان ژورنال: Research in Computing Science
سال: 2019
ISSN: 1870-4069
DOI: 10.13053/rcs-148-3-17