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Recently brain-computer interface (BCI) control was integrated into the commercial assistive technology product QualiWORLD (QualiLife Inc., Paradiso-Lugano, CH). Usability of the first prototype was evaluated in terms of effectiveness (accuracy), efficiency (information transfer rate and subjective workload/NASA Task Load Index) and user satisfaction(More)
Albeit research on brain-computer interfaces (BCI) for controlling applications has expanded tremendously, we still face a translational gap when bringing BCI to end-users. To bridge this gap, we adapted the user-centered design (UCD) to BCI research and development which implies a shift from focusing on single aspects, such as accuracy and information(More)
OBJECTIVE While brain-computer interfaces (BCIs) for communication have reached considerable technical maturity, there is still a great need for state-of-the-art evaluation by the end-users outside laboratory environments. To achieve this primary objective, it is necessary to augment a BCI with a series of components that allow end-users to type text(More)
— This paper presents an important step forward towards increasing the independence of people with severe motor disabilities, by using brain-computer interfaces (BCI) to harness the power of the Internet of Things. We analyze the stability of brain signals as end-users with motor disabilities progress from performing simple standard on-screen training tasks(More)
OBJECTIVE To describe experience of assistive technology service delivery (ATSD) by parents of children with physical or multiple disabilities (aged 3-18 years). METHOD Forty-seven of 115 parents participated in a postal survey assessing satisfaction with the ATSD process, employing the QUEST 2.0 and the KWAZO scales. Six of these participated in two(More)
  • Lorenzo Desideri, Devis Trioschi, Roberta Agusto, Martina Bizzarri, Gianantonio Spagnolin, Sabrina Cantelli +3 others
  • 2016
The present paper reports on a series of studies conducted at the Regional Center for Assistive Technology (Centro Regionale Ausili, CRA) in Bologna, Italy. Our purpose was to identify a set of internationally validated instruments and a training circuit with a view to developing a structured and validated Powered Mobility Device (PMD) assessment and(More)
Clinical applications of speech technology face two challenges. The first is data sparsity. There is little data available to underpin techniques which are based on machine learning and, because it is difficult to collect disordered speech corpora, the only way to address this problem is by pooling what is produced from systems which are already in use. The(More)
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