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• W4360871708 abstract "Data-driven technologies aid in effective communication for deaf people. Research on sign language recognition, sign language generation and tools based on them is going at a fast pace. With the easy availability of depth sensors, specialized data sets, efficient machine learning algorithms, and computational capabilities provided by specialized hardware, the development of efficient data science-based solutions for deaf users and people with difficulty in hearing is possible now. This chapter focuses on recent research on Automatic Sign Language Recognition (ASLR), Sign Language Production (SLP) and tools based on them. A major focus of this chapter is research and tools using Sign Languages since they are the most commonly used communication medium by deaf people. Research on sign languages from different parts of the world as well as the effectiveness of Machine Learning techniques for ASLR and SLP, are discussed in detail.<br>" @default.
• W4360871708 created "2023-03-25" @default.
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• W4360871708 date "2023-03-21" @default.
• W4360871708 modified "2023-09-27" @default.
• W4360871708 title "Augmentative and Alternative Communication/ Hearing Impairments" @default.
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• W4360871708 doi "https://doi.org/10.2174/9789815079159123020008" @default.
• W4360871708 hasPublicationYear "2023" @default.
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