AIMC Topic: Communication Devices for People with Disabilities

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Assessment of brain-machine interfaces from the perspective of people with paralysis.

Journal of neural engineering Jul 14, 2015
OBJECTIVE: One of the main goals of brain-machine interface (BMI) research is to restore function to people with paralysis. Currently, multiple BMI design features are being investigated, based on various input modalities (externally applied and surg...
Adolescent United States Robotics Electroencephalography Young Adult Adult Male Middle Aged Communication Devices for People with Disabilities Quadriplegia Brain-Computer Interfaces Health Care Surveys Patient Preference Needs Assessment Humans Technology Female Aged Aged, 80 and over
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Incorporating advanced language models into the P300 speller using particle filtering.

Journal of neural engineering Jun 10, 2015
OBJECTIVE: The P300 speller is a common brain-computer interface (BCI) application designed to communicate language by detecting event related potentials in a subject's electroencephalogram signal. Information about the structure of natural language ...
Event-Related Potentials, P300 Communication Devices for People with Disabilities Word Processing Signal Processing, Computer-Assisted Models, Statistical Pattern Recognition, Automated Brain Mapping Brain-Computer Interfaces Natural Language Processing Task Performance and Analysis Electroencephalography Humans Computer Simulation Reproducibility of Results Machine Learning Sensitivity and Specificity Algorithms
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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) Apr 29, 2015
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...
Humans Female Adult Male Middle Aged Child, Preschool Child Robotics Peer Group Cerebral Palsy Communication Devices for People with Disabilities Play and Playthings Social Participation
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Low-dimensional recurrent neural network-based Kalman filter for speech enhancement.

Neural networks : the official journal of the International Neural Network Society Apr 7, 2015
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...
Speech Least-Squares Analysis Humans Communication Devices for People with Disabilities Neural Networks, Computer Algorithms
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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 Mar 11, 2015
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...
Task Performance and Analysis Photic Stimulation Communication Devices for People with Disabilities Word Processing Electroencephalography Pattern Recognition, Automated Brain-Computer Interfaces Evoked Potentials, Visual Adult Sensitivity and Specificity Male Humans Algorithms Models, Neurological Machine Learning Language Natural Language Processing Female Reproducibility of Results
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Word-level language modeling for P300 spellers based on discriminative graphical models.

Journal of neural engineering Feb 16, 2015
OBJECTIVE: In this work we propose a probabilistic graphical model framework that uses language priors at the level of words as a mechanism to increase the performance of P300-based spellers.
Task Performance and Analysis Electrocardiography Computer Graphics Humans Word Processing Models, Statistical Algorithms Event-Related Potentials, P300 Natural Language Processing Computer Simulation Communication Devices for People with Disabilities Brain-Computer Interfaces Language
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Huffman and linear scanning methods with statistical language models.

Augmentative and alternative communication (Baltimore, Md. : 1985) Feb 12, 2015
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...
Communication Devices for People with Disabilities Brain Stem Infarctions Adult Humans Male Software Models, Statistical Natural Language Processing Language
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Using robots in "Hands-on" academic activities: a case study examining speech-generating device use and required skills.

Disability and rehabilitation. Assistive technology Dec 11, 2014
PURPOSE: A 12-year-old girl, Emily, with complex communication needs and severe physical limitations, controlled a Lego robot from a speech-generating device (SGD) to do various "hands-on" academic activities. Emily's teacher and assistive technology...
Child Robotics Cerebral Palsy Communication Devices for People with Disabilities Humans Children with Disabilities Female
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An SSVEP-Based Brain-Computer Interface for Text Spelling With Adaptive Queries That Maximize Information Gain Rates.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 2, 2014
This paper presents a brain-computer interface for text entry using steady-state visually evoked potentials (SSVEP). Like other SSVEP-based spellers, ours identifies the desired input character by posing questions (or queries) to users through a visu...
Humans Machine Learning Female Information Storage and Retrieval Pattern Recognition, Automated Brain-Computer Interfaces Evoked Potentials, Visual Communication Devices for People with Disabilities Word Processing Reproducibility of Results Adolescent Young Adult Child Sensitivity and Specificity Natural Language Processing Male Electroencephalography
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Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 25, 2014
P300 spellers can provide a means of communication for individuals with severe neuromuscular limitations. However, its use as an effective communication tool is reliant on high P300 classification accuracies ( > 70%) to account for error revisions. E...
Bayes Theorem Pattern Recognition, Automated Brain-Computer Interfaces Event-Related Potentials, P300 Algorithms Reproducibility of Results Sensitivity and Specificity Natural Language Processing Communication Devices for People with Disabilities Word Processing Humans Machine Learning
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