Article

This article aims to the evaluation of a prototypal assistive technology
for Alzheimer's disease (AD) patients that helps them to remember personal
details of familiar people they meet in their daily lives. METHOD: An
architecture is proposed for a personal information system powered by face
recognition, where the main AD patient's interaction is performed in a smart
watch device and the face recognition is carried out on the Cloud. A prototype
was developed to perform some tests in a real-life scenario. RESULTS: The
prototype showed correct results as a personal information system based on face
recognition. However, usability flaws were identified in the interaction with the
smart watch. CONCLUSIONS: Our architecture showed correct performance and we
realized that it could be introduced in other fields, apart from assistive
technology. However, when being targeted to patients with dementia some usability
problems appeared, such as difficulties to read information in a small screen or
take a proper photo. These problems should be addressed in further research.
Implications for Rehabilitation This article presents a prototypal assistive
technology for Alzheimer's disease (AD) patients. It targets AD patients to
recognize their familiars, especially in medium-advanced stages of the disease.
Analysing pictures taken by a smart watch, which the patient carries, the person
in front is recognized and information about him is sent to the watch. This
technology enables patients to have all the information of any close person, as a
remainder, easing their daily lives, improving their self-esteem and stimulating
the patient with novel technology.

Langue : ANGLAIS