Abstract
We have now sufficient evidence that using electrical biosignals in the field of Alternative and Augmented Communication is feasible. Additionally, they are particularly suitable in the case of people with severe motor impairment, e.g. people with high-level spinal cord injury or with locked-up syndrome. Developing solutions for them implies that we find ways to use sensors that fit the user's needs and limitations, which in turn impacts the specifications of the system translating the user's intentions into commands. After devising solutions for a given user or profile, the system should be evaluated with an appropriate method, allowing a comparison with other solutions. This paper submits a review of the way three bioelectrical signals - electromyographic, electrooculographic and electroencephalographic - have been utilised in alternative communication with patients suffering severe motor restrictions. It also offers a comparative study of the various methods applied to measure the performance of AAC systems.
Highlights
IntroductionMuch research work has been devoted in the past twenty years to developing assistive technology (AT) devices aiming at offering to people suffering a motor disability of various origins (e.g. locked-in-syndrome, amyotrophic lateral sclerosis, quadriplegia, muscular dystrophy, cerebral palsy, etc.) associated to disorders of verbal communication, the possibility of communicating with the persons in their entourage and having some control on their environment
Much research work has been devoted in the past twenty years to developing assistive technology (AT) devices aiming at offering to people suffering a motor disability of various origins associated to disorders of verbal communication, the possibility of communicating with the persons in their entourage and having some control on their environment
The purpose of this paper is to report about our study regarding the several technologies employed in the restricted area of alternative communication systems based on bioelectricity
Summary
Much research work has been devoted in the past twenty years to developing assistive technology (AT) devices aiming at offering to people suffering a motor disability of various origins (e.g. locked-in-syndrome, amyotrophic lateral sclerosis, quadriplegia, muscular dystrophy, cerebral palsy, etc.) associated to disorders of verbal communication, the possibility of communicating with the persons in their entourage and having some control on their environment. These AT devices are operated by human-machine interface sensors receiving information provided by the person with disabilities to pilot a graphical user interface [1]. It is necessary to study the performances of the usersensor-system trio
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