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A Sign Translation App to Convert to ASL to Auditory English Language

Ayaan Farooqui *, Aayush Hatekar **, Prateek Angadi ***, Khyaati Shrikant ****

*-**** Department of Computer Engineering, Thakur College of Engineering and Technology, Maharashtra, India.

Periodicity:January - June'2021
DOI : https://doi.org/10.26634/jmt.8.1.18433

Abstract

Sign language is an optical communication language used by the people with speech and hearing disabilities for communication in their day-to-day conversation. Sign Language Recognition (SLR) system, which is required to recognize sign languages, has been widely studied for the past few years. Several input sensors, gesture segmentation, feature extraction and classification methods were used for the study. To eliminate the barrier in the communication between abled and disabled people is the main aim of this paper. This paper proposes a method to translate ASL in real time by mobile camera such that it can serve as a conversation medium between normal and deaf/dumb people.

Keywords

Sign Language, Sign Language Recognition (SLR), American Sign Language (ASL).

How to Cite this Article?

Farooqui, A., Hatekar, A., Angadi, P., and Shrikant, K. (2021). A Sign Translation App to Convert to ASL to Auditory English Language. i-manager's Journal on Mobile Applications and Technologies, 8(1), 1-7. https://doi.org/10.26634/jmt.8.1.18433

References

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A Sign Translation App to Convert to ASL to Auditory English Language

Abstract

Keywords

How to Cite this Article?

References

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