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

  • Diego MartínEmail author
  • Borja Bordel
  • Ramón Alcarria
  • Álvaro Sánchez-Picot
  • Diego Sánchez de Rivera
  • Tomás Robles
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10069)

Abstract

In this research work it is presented a preliminary prototype for an ambient intelligence scenario based on cyber-physical systems for improving learning tasks. The system proposed is composed of a cyber-glove, a worktable (both with RFID and NFC detection zones) and a AmI software application for modeling and workflow guidance. The authors carried out a case study where 12 mentally handicapped people and 3 trainers were involved executing workflows creation and performing and controlling tasks. The results obtained indicate that this kind of solutions are feasible, but due to the problem complexity and to the fact that the proposed solution is a preliminary version, we have found many issues to be solved in next versions. This research helped us to uncover these issues and design a better system.

Keywords

Task learning Ambient intelligence Mentally handicapped Cyber-physical systems Cyber-glove Worktable ehealth 

Notes

Acknowledgement

The research leading to these results has received funding from the Ministry of Economy and Competitiveness through SEMOLA project (TEC2015-68284- R)

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Diego Martín
    • 1
    Email author
  • Borja Bordel
    • 1
  • Ramón Alcarria
    • 2
  • Álvaro Sánchez-Picot
    • 1
  • Diego Sánchez de Rivera
    • 1
  • Tomás Robles
    • 1
  1. 1.ETSI TelecommunicationsTechnical University of MadridMadridSpain
  2. 2.ETSI Topography, Geodetics and CartographyTechnical University of MadridMadridSpain

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