title: A review of emerging access technologies for individuals with severe motor impairments.
abstract: Research and development in the field of access technologies for individuals with severe motor impairments has accelerated over the past 10 years. Many emergent alternatives to conventional mechanical switches, such as infrared sensing, electromyography, oculography, and computer vision, have been investigated for those retaining some limited volitional motor ability. At the same time, electroencephalography, electrocorticography, intracortical recordings, and electrodermal activity have been explored for those presenting as locked in. The relevant literature is scattered across many disciplines, obfuscating the strength of the clinical evidence in support of the different access technologies currently in development. This article systematically organizes the literature on the aforementioned access technologies, summarizing their underlying operational mechanisms while reviewing the clinical evidence reported between 1996 and 2006. Research evidence within this period is generally found to be at the case study or uncontrolled study level, with very modest sample sizes. Novel mechanical switches and electroencephalography-based access systems dominate the literature, whereas many other movement-based access modalities have emerged with promising early findings. Access methods for those without extant physical movement constitute a critical direction for future and ongoing research efforts.
authors.affiliation: Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
authors.forename: Kelly
authors.initials: K
authors.lastname: Tai
authors.forename: Stefanie
authors.initials: S
authors.lastname: Blain
authors.forename: Tom
authors.initials: T
authors.lastname: Chau
mesh_terms: D006233:Persons with Disabilities / Q000523:psychology*; D004569:Electroencephalography; D004576:Electromyography; D006801:Humans; D016472:Motor Neuron Disease / Q000503:physiopathology / Q000534:rehabilitation*; D012656:Self-Help Devices / Q000523:psychology* / Q000639:trends; D014584:User-Computer Interface