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The integration of rehabilitation systems in an ambient assisted living environment can provide a powerful and versatile tool for long-term stroke rehabilitation goals. This paper introduces a novel concept of a personalized cognitive rehabilitation system in a naturalistic setting. The proposed platform was developed within the CogWatch project, with the intent of fostering independence in activities of daily living in patients with apraxia and action disorganization syndrome. Technical usability was evaluated in a series of pilot experiments, which illustrate how this approach may help to retrain patients in activities of daily living. The first system prototype has been tested with 36 participants divided into three groups, providing an exploratory evaluation of the usability of this solution and its acceptability. The technical solutions used within the CogWatch project are targeted to meet both the end users' needs from the interaction and usability point of views and the clinical requirements associated with the use of such systems. The challenges behind the development of ambient assisted living systems for cognitive rehabilitation are discussed.
Previous work aimed to investigate the extent to which errors attributable to phonological effects associated with language acquisition (PEALA) contribute to the output of children's ASR. Opposite to what was intuitively expected, the proportion of errors predictable from PEALA was positively correlated with recognition accuracy, therefore increased across ages. In order to interpret this finding, the present paper employs a DNN-HMM automatic speech recognition system, built on the CSLU children's speech corpus, to produce bottleneck feature (BNF) visualisations of phones and examine how these relate with respect to PEALA. The focus is drawn particularly on ASR errors caused by phone confusions, which are compared against phone substitution pairs indicated by PEALA. The ASR results confirm the previously observed interaction between errors predictable from PEALA and rising accuracy, but also suggest that these errors only account for a small percentage of the total phone substitution error. The BNF visualisations for the most part outline the age progression smoothly and demonstrate clear clusters of neighbouring phones consistently. The distance between PEALA related phones can be partitioned in four sets; two that increase with age (at a higher or lower rate), one that roughly remains constant and one that decreases with age.
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