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Direct linkMoghimi, Saba; Kushki, Azadeh; Guerguerian, Anne Marie; Chau, Tom – Assistive Technology, 2013
Electroencephalography (EEG) is a non-invasive method for measuring brain activity and is a strong candidate for brain-computer interface (BCI) development. While BCIs can be used as a means of communication for individuals with severe disabilities, the majority of existing studies have reported BCI evaluations by able-bodied individuals.…
Descriptors: Severe Disabilities, Developmental Stages, Medicine, Brain
Magnier, Cecile; Thomann, Guillaume; Villeneuve, Francois – Assistive Technology, 2012
This article aims to identify the difficulties that may arise when designing assistive devices for disabled children. Seventeen design projects involving disabled children, engineering students, and special schools were analysed. A content analysis of the design reports was performed. For this purpose, a coding scheme was built based on a review…
Descriptors: Assistive Technology, Observation, Content Analysis, Special Schools
Young, Victoria; Mihailidis, Alex – Assistive Technology, 2010
Despite their growing presence in home computer applications and various telephony services, commercial automatic speech recognition technologies are still not easily employed by everyone; especially individuals with speech disorders. In addition, relatively little research has been conducted on automatic speech recognition performance with older…
Descriptors: Speech, Assistive Technology, Articulation Impairments, Neurological Impairments
