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Joint Bilingual Navigation of Informed Consent and Intake Forms in American Sign Language and Written English. [PDF]
Int Web All ConfSeita M +4 more
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Textual emotion recognition to improve real-time communication of disabled people in sustainable environments using an ensemble deep learning approach. [PDF]
Sci RepAlghamdi TA, Alotaibi SS, Alharthi R.
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A Review on Sign Language Recognition (SLR) System: ML and DL for SLR
2021 IEEE International Conference on Intelligent Systems, Smart and Green Technologies (ICISSGT), 2021Sign Language (SL) is a parallel communication medium to spoken language, mostly used by people who are not able to speak or hear. A human interpreter is also required to work as a mediator or to act like a bridge to reduce communication gap between deaf/
Soumen Das +3 more
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SN Computer Science, 2021
An efficient Sign Language Recognition (SLR) system could facilitate communication with hearing impaired persons by identifying the sign gestures. Similar to regional spoken languages, different regions have developed their own sign gesture representations (for example, American Sign Language (ASL), German Sign Language (GSL), Indian Sign Language (ISL)
Partha Pratim Roy +2 more
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An efficient Sign Language Recognition (SLR) system could facilitate communication with hearing impaired persons by identifying the sign gestures. Similar to regional spoken languages, different regions have developed their own sign gesture representations (for example, American Sign Language (ASL), German Sign Language (GSL), Indian Sign Language (ISL)
Partha Pratim Roy +2 more
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SLR-YOLO: An improved YOLOv8 network for real-time sign language recognition
Journal of Intelligent & Fuzzy Systems, 2023This study proposes a method to help people with different degrees of hearing impairment to better integrate into society and perform more convenient human-to-human and human-to-robot sign language interaction through computer vision. Traditional sign language recognition methods make it challenging to get good results on scenes with backgrounds close ...
Jia, Wanjun, Li, Changyong
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(2+1)D-SLR: an efficient network for video sign language recognition
Neural Computing and Applications, 2021The most existing sign language recognition methods have made significant progress. However, there are still problems in the field of sign language recognition: Traditional SLR technology relies on external devices such as data gloves, position tracker, and has achieved limited success.
Fei Wang +4 more
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A position and rotation invariant framework for sign language recognition (SLR) using Kinect
Multimedia Tools and Applications, 2017Sign language is the only means of communication for speech and hearing impaired people. Using machine translation, Sign Language Recognition (SLR) systems provide medium of communication between speech and hearing impaired and others who have difficulty in understanding such languages.
Pradeep Kumar +3 more
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Sign Language Recognition (SLR)
Gurukul International Multidisciplinary Research JournalAbstract— Sign Language is mainly used by deaf (hard hearing) and dumb people to exchange information between their own community and with other people. It is a language where people use their hand gestures to communicate as they can’t speak or hear. Sign Language Recognition (SLR) deals with recognizing the hand gestures acquisition and continues till
Rutuja Burde
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Survey of Hidden Markov Models (HMMs) for Sign Language Recognition (SLR)
2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS)This paper surveyed several significant papers on specific topics applying the Hidden Markov Models (HMMs) for Sign Language Recognition (SLR), divided into five main episodes: Classical HMMs, Extended HMMs, HMMs and Machine Learning, HMMs and Sensor ...
Iwan Sandjaja +3 more
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R-SLR: Real-Time Sign Language Recognition System
2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT)Sign language is the main medium of communication for people with hearing impairments. This language is mostly based on hand expressions complemented by non-manual gestures. It facilitates harmonious integration of the disabled into our society.
Monalisa Ghosh +3 more
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