Results 31 to 40 of about 33,490 (247)
Hand gestures for emergency situations: A video dataset based on words from Indian sign language
Data in Brief, 2020 Automatic sign language recognition provides better services to the deaf as it avoids the existing communication gap between them and the rest of the society.
V. Adithya, R. Rajesh
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International Journal of Recent Technology and Engineering (IJRTE), 2019 There are nearly 15 million people around the world who have difficulty in speaking or communicating. Their only way of communication is through sign language. Hand gesture is one of the methods used in sign language for non-verbal communication. It is most commonly used by deaf & dumb people who have hearing or speech problems to communicate among
Dr.E. Padmalatha* +4 more
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A survey on sign language literature
Machine Learning with Applications, 2023 Individuals with hearing impairment encounter various types and levels of difficulties, highlighting the need for more research to provide effective support. One significant difficulty is communication and interaction with others.
Marie Alaghband +2 more
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Informatics in Medicine Unlocked, 2022 Sign language is a language used for communication of the deaf and dumb (D&D) community. To avoid difficulties in communication among themselves and also among normal people, transfer learning-based automatic sign language recognition can play a great ...
Md. Monirul Islam +3 more
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American Sign Language Recognition Using Leap Motion Controller with Machine Learning Approach
Sensors, 2018 Sign language is intentionally designed to allow deaf and dumb communities to convey messages and to connect with society. Unfortunately, learning and practicing sign language is not common among society; hence, this study developed a sign language ...
Teak-Wei Chong, Boon-Giin Lee
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Sign Language Recognition [PDF]
, 2011 This chapter covers the key aspects of sign-language recognition (SLR), starting with a brief introduction to the motivations and requirements, followed by a précis of sign linguistics and their impact on the field. The types of data available and the relative merits are explored allowing examination of the features which can be extracted.
Cooper, HM, Holt, B, Bowden, R
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RECOGNITION OF INDIAN SIGN LANGUAGES
International Journal of Innovative Research in Computer Science & Technology, 2021 The focal point of this project is about developing a user interface to aid people who have hearing and speaking disabilities. This application would help in recognizing the different signs with respect to the single user. The real-time image is captured using a webcam and dynamically stored.
Sahara Shetty, Yashaswi G. P.
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Indian Sign Language Recognition
International Journal of Science and Research (IJSR), 2022 Sign language is one of the oldest and most natural forms of language for communication, but since most people do not know sign language and interpreters are very difficult to come by, we have come up with a real-time method using neural networks for fingerspelling-based Indian Sign Language.
null Manasi Malge +2 more
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Journal of Disability Research, 2023 Sign language is commonly used to interact with people who have speech and hearing disorders. Sign language was exploited for interacting with people having developmental impairments who have some or no communication skills.
Mashael M. Asiri +2 more
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IEEE AccessThe Deaf are a large social group in society. Their unique way of communicating through sign language is often confined within their community due to limited understanding by individuals outside of this demographic.
Tangfei Tao +3 more
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