A review on Artificial Intelligence based Sign Language Recognition Techniques | IEEE Conference Publication | IEEE Xplore

A review on Artificial Intelligence based Sign Language Recognition Techniques


Abstract:

The World Wide Web Consortium describes web accessibility as the ability to access any information online regardless of the technology used and interacting with the inter...Show More

Abstract:

The World Wide Web Consortium describes web accessibility as the ability to access any information online regardless of the technology used and interacting with the interface of the web if required. Over the last few decades, significant efforts have been made in the field of web accessibility. Successful tools were developed leveraging technologies such as Artificial Intelligence, Speech Recognition systems and motion detection using Computer Vision. Sign Language is a form of non-verbal, hand movement or gesture based mode communicating thoughts and ideas. It is the primary way of communication for many people, majorly including differently abled people, such as people with speech-impairments. Despite being popular amongst people who are unable to speak or hear, there exists a great disparity in the knowledge of Sign Language in the general population consisting of able-bodied individuals. This necessitates the existence of a system that bridges this gap, and allows for efficient interpretation of Sign Language. Sign Language recognition is a growing field of interest in the domain of Artificial Intelligence, and many tools have been created to automate this process using image recognition techniques. These techniques are used to classify sign language and map them into their corresponding meaning in the English language. The steps required in this include the acquisition of data, extraction of relevant features followed by the training of the classifier. This paper gives an overview of the level of work done in this field, and delineates the scope of some models created for this purpose. It also discusses the challenges that are being faced and the scope of work that is yet to be done.
Date of Conference: 14-16 December 2022
Date Added to IEEE Xplore: 22 March 2023
ISBN Information:
Conference Location: Uttar Pradesh, India

References

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