AIMC Topic: Persons with Hearing Disabilities
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Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning.
Scientific reports
Jul 1, 2025
Sign language (SL) is the linguistics of speech and hearing-impaired individuals. The hand gesture is the primary model employed in SL by speech and hearing-challenged people to talk with themselves and ordinary persons. At present, hand gesture dete...
Imitation of complex whole-body sequence in profoundly hearing-impaired adolescents.
Human movement science
May 31, 2025
Many studies have identified specific visual advantages in deaf individuals. However, few studies have linked these advantages to motor learning. This study aimed to compare the differences in movement and learning processes between profoundly hearin...
Innovative hand pose based sign language recognition using hybrid metaheuristic optimization algorithms with deep learning model for hearing impaired persons.
Scientific reports
Mar 18, 2025
Sign language (SL) is an effective mode of communication, which uses visual-physical methods like hand signals, expressions, and body actions to communicate between the difficulty of hearing and the deaf community, produce opinions, and carry signifi...
IoT-driven smart assistive communication system for the hearing impaired with hybrid deep learning models for sign language recognition.
Scientific reports
Feb 20, 2025
Deaf and hard-of-hearing people utilize sign language recognition (SLR) to interconnect. Sign language (SL) is vital for hard-of-hearing and deaf individuals to communicate. SL uses varied hand gestures to speak words, sentences, or letters. It aids ...
Use of AI methods to assessment of lower limb peak torque in deaf and hearing football players group.
Acta of bioengineering and biomechanics
Jan 27, 2025
Monitoring and assessing the level of lower limb motor skills using the Biodex System plays an important role in the training of football players and in post-traumatic rehabilitation. The aim of this study was to build and test an artificial intelli...
Bengali-Sign: A Machine Learning-Based Bengali Sign Language Interpretation for Deaf and Non-Verbal People.
Sensors (Basel, Switzerland)
Aug 19, 2024
Sign language is undoubtedly a common way of communication among deaf and non-verbal people. But it is not common among hearing people to use sign language to express feelings or share information in everyday life. Therefore, a significant communicat...
Efhamni: A Deep Learning-Based Saudi Sign Language Recognition Application.
Sensors (Basel, Switzerland)
May 14, 2024
Deaf and hard-of-hearing people mainly communicate using sign language, which is a set of signs made using hand gestures combined with facial expressions to make meaningful and complete sentences. The problem that faces deaf and hard-of-hearing peopl...
Single-ended prediction of listening effort using deep neural networks.
Hearing research
Dec 27, 2017
The effort required to listen to and understand noisy speech is an important factor in the evaluation of noise reduction schemes. This paper introduces a model for Listening Effort prediction from Acoustic Parameters (LEAP). The model is based on met...
Ambient intelligence framework for real-time speech-to-sign translation.
Assistive technology : the official journal of RESNA
Feb 2, 2017
Sign language can be used to facilitate communication with and between deaf or hard of hearing (Deaf/HH). With the advent of video streaming applications in smart TVs and mobile devices, it is now possible to use sign language to communicate over wor...
Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users.
Hearing research
Nov 30, 2016
Speech understanding in noisy environments is still one of the major challenges for cochlear implant (CI) users in everyday life. We evaluated a speech enhancement algorithm based on neural networks (NNSE) for improving speech intelligibility in nois...
Middle Aged
Speech Intelligibility
Noise
Cochlear Implants
Persons with Hearing Disabilities
Signal Processing, Computer-Assisted
Speech Perception
Prosthesis Design
Acoustic Stimulation
Acoustics
Aged
Humans
Sound Spectrography
Cochlear Implantation
Audiometry, Speech
Aged, 80 and over
Neural Networks, Computer
Comprehension
Electric Stimulation
Algorithms
Perceptual Masking
Young Adult
Adult
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