Next Article in Journal
A Study on the Improvement Effect and Field Applicability of the Deep Soft Ground by Ground Heating Method
Next Article in Special Issue
Evaluating Human–Automation Etiquette Strategies to Mitigate User Frustration and Improve Learning in Affect-Aware Tutoring
Previous Article in Journal
Spectrally-Selective Energy-Harvesting Solar Windows for Public Infrastructure Applications
Previous Article in Special Issue
Proposing Enhanced Feature Engineering and a Selection Model for Machine Learning Processes
Open AccessConcept Paper

A User-Centred Well-Being Home for the Elderly

1
School of Technology and Management, Computer Science and Communications Research Centre, Polytechnic Institute of Leiria, Leiria, 2411-901 Leiria, Portugal
2
INOV INESC INOVAÇÃO Institute of New Technologies of Leiria, Leiria, 2411-901 Leiria, Portugal
*
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(6), 850; https://doi.org/10.3390/app8060850
Received: 13 March 2018 / Revised: 17 May 2018 / Accepted: 18 May 2018 / Published: 23 May 2018
(This article belongs to the Special Issue Socio-Cognitive and Affective Computing)
Every single instant a person generates a large amount of information that somehow is lost. This information can assume a large diversity of means, such as an oral word, a sneeze, an increase in heartbeat or even facial expressions. We present a model which promotes the well-being of the elderly in their homes. The general idea behind the model is that every single experience may mean something, and therefore may be recorded, measured and even have adequate responses. There is no device that provides a more natural interaction than a human body and every one of us, sends and receives useful information, which sometimes gets lost. Trends show that the future will be filled with pervasive IoT devices, present in most aspects of human life’s. In this we focus on which aspects are more important for the well-being of a person and which devices, technologies and interactions may be used to collect data directly from users and measure their physiological and emotional responses. Even though not all the technologies presented in this article are yet mainstream, they have been evolving very rapidly and evidence makes us believe that the efficiency of this approach will be closely related to their advances. View Full-Text
Keywords: ambient intelligence; human-computer interaction; internet of things; smart homes ambient intelligence; human-computer interaction; internet of things; smart homes
Show Figures

Figure 1

MDPI and ACS Style

Rodrigues, N.; Pereira, A. A User-Centred Well-Being Home for the Elderly. Appl. Sci. 2018, 8, 850.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop