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Mobile Information Systems
Volume 2018, Article ID 8198379, 12 pages
Research Article

Improving Learning Tasks for Mentally Handicapped People Using AmI Environments Based on Cyber-Physical Systems

1ETSI Telecommunications, Universidad Politécnica de Madrid, Av. Complutense 30, 28040 Madrid, Spain
2ETSI Topography, Geodetics and Cartography, Universidad Politécnica de Madrid, Camino de la Arboleda s/n, 28031 Madrid, Spain
3Fundación PRODIS, Bulevar Indalecio Prieto 2, 28032 Madrid, Spain

Correspondence should be addressed to Diego Martín; se.mpu@serdna.ed.nitram.ogeid

Received 28 July 2017; Accepted 26 November 2017; Published 28 January 2018

Academic Editor: Pino Caballero-Gil

Copyright © 2018 Diego Martín et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


A prototype to improve learning tasks for mentally handicapped people is shown in this research paper using ambient intelligence techniques and based on cyber-physical systems. The whole system is composed of a worktable, a cyber-glove (both with several RFID and NFC detection zones), and an AmI software application for modeling and workflow guidance. A case study was carried out by the authors where sixteen mentally handicapped people and 3 trainers were involved in the experiment. The experiment consisted in the execution of several memorization tasks of movements of objects using the approach presented in this paper. The results obtained were very interesting, indicating that this kind of solutions are feasible and allow the learning of complex tasks to some types of mentally handicapped people. In addition, at the end of the paper are presented some lessons learned after performing the experimentation.