Towards establishing a mute communication: An Indian Sign Language perspective

Kane, Lalit; Khanna, Pritee

doi:10.1109/ihci.2012.6481787

Cited by 4 publications

(1 citation statement)

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“…In [1] survey that specializes in computerized speech consciousness for sign language is presented. The definition of sign languages and the objective associated to them are first defined.…”

Section: Related Workmentioning

confidence: 99%

Curvilinear Tracing Approach for Extracting Kannada Word Sign Symbol from Sign Video

Kagalkar¹,

Gumaste²

2017

IJIGSP

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Abstract-Gesture based communications are utilized as a primary method of correspondence, however, the differing qualities in the sign image portrayal limit its use to district bound. There is a tremendous assorted quality in the sign image portrayal from one nation to another, one state to another. In India, there is distinctive gesturebased communication watched for each state locale. It is henceforth exceptionally troublesome for one area individual to convey to other utilizing a signature image. This paper proposes a curvilinear tracing approach for the shape portrayal of Kannada communication via gestures acknowledgment. To build up this approach, a dataset is consequently made with all Swaragalu, Vyanjanagalu, Materials and Numbers in Kannada dialect. The arrangement of the dataset is framed by characterizing a vocabulary dataset for various sign images utilized as a part of regular interfacing. In the portrayal of gesturebased communication for acknowledgment, edge elements of hand areas are thought to be an ideal element portrayal of communication through signing. In the preparing of gesture-based communication, the agent includes assumes a critical part in arrangement execution. For the developed approach of sign language detection, where a single significant transformation is carried out, a word level detection is then performed. To represent the processing efficiency, a set of cue symbols is used for formulating a word. This word symbols are then processed to evaluate the performance for sign language detection. Word processing is carried out as a recursive process of a single cue symbol representation, where each frame data are processed for a curvilinear shape feature. The frame data are extracted based on the frame reading rate and multiple frames are processed in successive format to extract the region of interest. A system outline to process the video data and to give an optimal frame processing for sign recognition a word level process is performed.Index Terms-Curvilinear feature; leap forward tracing; support vector machine, kannada sign language.

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Section: Related Workmentioning

confidence: 99%