Next Article in Journal
CCD-Based Skinning Injury Recognition on Potato Tubers (Solanum tuberosum L.): A Comparison between Visible and Biospeckle Imaging
Next Article in Special Issue
When Ultrasonic Sensors and Computer Vision Join Forces for Efficient Obstacle Detection and Recognition
Previous Article in Journal
High Quality Plasmonic Sensors Based on Fano Resonances Created through Cascading Double Asymmetric Cavities
Previous Article in Special Issue
3D Printed Dry EEG Electrodes
Open AccessArticle

A Vision-Based Approach for Building Telecare and Telerehabilitation Services

Quercus Software Engineering Group, University of Extremadura, Cáceres 10071, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Octavian Adrian Postolache, Alex Casson and Subhas Chandra Mukhopadhyay
Sensors 2016, 16(10), 1724; https://doi.org/10.3390/s16101724
Received: 19 July 2016 / Revised: 23 September 2016 / Accepted: 9 October 2016 / Published: 18 October 2016
(This article belongs to the Special Issue Sensing Technology for Healthcare System)
In the last few years, telerehabilitation and telecare have become important topics in healthcare since they enable people to remain independent in their own homes by providing person-centered technologies to support the individual. These technologies allows elderly people to be assisted in their home, instead of traveling to a clinic, providing them wellbeing and personalized health care. The literature shows a great number of interesting proposals to address telerehabilitation and telecare scenarios, which may be mainly categorized into two broad groups, namely wearable devices and context-aware systems. However, we believe that these apparently different scenarios may be addressed by a single context-aware approach, concretely a vision-based system that can operate automatically in a non-intrusive way for the elderly, and this is the goal of this paper. We present a general approach based on 3D cameras and neural network algorithms that offers an efficient solution for two different scenarios of telerehabilitation and telecare for elderly people. Our empirical analysis reveals the effectiveness and accuracy of the algorithms presented in our approach and provides more than promising results when the neural network parameters are properly adjusted. View Full-Text
Keywords: fall detection; telerehabilitation; healthcare; 3D-cameras; neural network fall detection; telerehabilitation; healthcare; 3D-cameras; neural network
Show Figures

Figure 1

MDPI and ACS Style

Barriga, A.; Conejero, J.M.; Hernández, J.; Jurado, E.; Moguel, E.; Sánchez-Figueroa, F. A Vision-Based Approach for Building Telecare and Telerehabilitation Services. Sensors 2016, 16, 1724.

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