Assistive technology : the official journal of RESNA
Jun 19, 2017
The growing number of older adults places insurmountable load on family members and professional caregivers. Assistive technology with the aid of robots can present a possible solution. The goal of this article was to test a companion robot supportin...
OBJECTIVES: In older adults, traditional metrics derived from polysomnography (PSG) are not well correlated with subjective sleep quality. Little is known about whether the association between PSG and subjective sleep quality changes with age, or whe...
BACKGROUND: The question arises how recent developments in robotics can contribute to the care for older people. The study is part of the EU-funded ENRICHME project.
Although the use of pet robots in senior living facilities and day-care centres, particularly for individuals suffering from dementia, has been intensively researched, the question of introducing pet robots into domestic settings has been relatively ...
Assistive Technologies (AT) are an application area where several Artificial Intelligence techniques and tools have been successfully applied to support elderly or impeded people on their daily activities. However, approaches to AT tend to center in ...
Journal of the American Medical Directors Association
Oct 29, 2014
BACKGROUND: Identification of the risk of recurrent falls is complex in older adults. The aim of this study was to examine the efficiency of 3 artificial neural networks (ANNs: multilayer perceptron [MLP], modified MLP, and neuroevolution of augmenti...
Disability and rehabilitation. Assistive technology
Apr 28, 2014
PURPOSE: To evaluate the usability of a mobile telepresence robot (MTR) in a hospital training apartment (HTA). The MTR was manoeuvred remotely and was used for communication when assessing independent living skills, and for security monitoring of co...
OBJECTIVE: Identifying cognitive impairment early enough could support timely intervention of cognitive impairment and facilitate successful cognitive aging. We aimed to build more precise prediction models for cognitive function using less variable ...
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