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Deep Learning Technology to Recognize American Sign Language Alphabet [PDF]
Sensors, 2023 Historically, individuals with hearing impairments have faced neglect, lacking the necessary tools to facilitate effective communication. However, advancements in modern technology have paved the way for the development of various tools and software ...
Bader Alsharif +4 more
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Computer Methods and Programs in Biomedicine Update, 2022 Background: Sign language is an essential means of communication for hearing-impaired individuals. Objective: We aimed to develop an American sign language recognition dataset and use it in the deep learning model which depends on neural networks to ...
Ahmed KASAPBAŞI +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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Medication-Related Experience of Deaf American Sign Language Users [PDF]
Health Literacy Research and Practice, 2023 Background: Previous studies showed that deaf and hard-of-hearing (DHH) individuals have low health literacy related to prescription labels. This study examined the DHH's experience with understanding prescription labels and how technology can impact ...
Mariam Paracha +6 more
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Syntactic priming in American Sign Language. [PDF]
PLoS ONE, 2015 Psycholinguistic studies of sign language processing provide valuable opportunities to assess whether language phenomena, which are primarily studied in spoken language, are fundamentally shaped by peripheral biology. For example, we know that when given
Matthew L Hall +2 more
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Analysis of the visual spatiotemporal properties of American Sign Language. [PDF]
Vision Res, 2019 Careful measurements of the temporal dynamics of speech have provided important insights into phonetic properties of spoken languages, which are important for understanding auditory perception.
Bosworth RG, Wright CE, Dobkins KR.
europepmc +3 more sources
IEEE AccessThis research introduces a foundational framework aimed at bridging the communication gap between American Sign Language (ASL) and Indian Sign Language (ISL) by translating alphabet-level gestures. The proposed system employs a hybrid deep learning model
Malay Kumar +4 more
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Research into the information referents of deaf signers [PDF]
Communication & Society (Formerly Comunicación y Sociedad), 2012 The Information society is bringing about an increase in the number of information referents for deaf signers (those who use sign language). With the aim of exploring the ways most commonly used by deaf people to find out about current affairs, this ...
Jordi Serrat +1 more
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A Survey on Sign Language Recognition and Training Module [PDF]
ITM Web of Conferences, 2023 Communication among the deaf and non-verbal communities has long reliedon sign language recognition. From all researchers around from early electric signal-based sign language identification to more recent recognition using machine/deep learning ...
Anjana Devi V. +2 more
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