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Communication Devices for People with Disabilities

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IoT-driven smart assistive communication system for the hearing impaired with hybrid deep learning models for sign language recognition.

Scientific reports
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 ...

Dialogue agents for artificial intelligence-based conversational systems for cognitively disabled: a systematic review.

Disability and rehabilitation. Assistive technology
PURPOSE: We present a systematic literature review of dialogue agents for Artificial Intelligence (AI) and agent-based conversational systems dealing with cognitive disability of aged and impaired people including dementia and Parkinson's disease. We...

Participation and Enjoyment in Play with a Robot between Children with Cerebral Palsy who use AAC and their Peers.

Augmentative and alternative communication (Baltimore, Md. : 1985)
This study explores children with complex communication needs, their peers and adult support persons in play with the talking and moving robot LekBot. Two triads were filmed playing with LekBot at pre-school. LekBot was developed to facilitate indepe...

Low-dimensional recurrent neural network-based Kalman filter for speech enhancement.

Neural networks : the official journal of the International Neural Network Society
This paper proposes a new recurrent neural network-based Kalman filter for speech enhancement, based on a noise-constrained least squares estimate. The parameters of speech signal modeled as autoregressive process are first estimated by using the pro...

Language-Model Assisted Brain Computer Interface for Typing: A Comparison of Matrix and Rapid Serial Visual Presentation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Noninvasive electroencephalography (EEG)-based brain-computer interfaces (BCIs) popularly utilize event-related potential (ERP) for intent detection. Specifically, for EEG-based BCI typing systems, different symbol presentation paradigms have been ut...

Huffman and linear scanning methods with statistical language models.

Augmentative and alternative communication (Baltimore, Md. : 1985)
Current scanning access methods for text generation in AAC devices are limited to relatively few options, most notably row/column variations within a matrix. We present Huffman scanning, a new method for applying statistical language models to binary...

AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove.

Nature communications
Sign language recognition, especially the sentence recognition, is of great significance for lowering the communication barrier between the hearing/speech impaired and the non-signers. The general glove solutions, which are employed to detect motions...

Speech Technology for Healthcare: Opportunities, Challenges, and State of the Art.

IEEE reviews in biomedical engineering
Speech technology is not appropriately explored even though modern advances in speech technology-especially those driven by deep learning (DL) technology-offer unprecedented opportunities for transforming the healthcare industry. In this paper, we ha...