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Gamification and Information Fusion for Rehabilitation: An Ambient Assisted Living Case Study

  • Javier Jiménez Alemán
  • Nayat Sanchez-PiEmail author
  • Luis Martí
  • José Manuel Molina
  • Ana Cristina Bicharra García
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9755)

Abstract

Nowadays elders, often find it difficult to keep track of their cognitive and functional abilities required for remaining independent in their homes. Ambient Assisted Living (AAL) are the Ambient Intelligence based technologies for the support of daily activities to elders. Traditional rehabilitation is an example of a common activity elders may require and that usually implies they move to the rehabilitation clinics, which is the main reason for treatment discontinuation. Tele-rehabilitation is a solution that not only may help elders but also their family members and health professionals to monitor elder’s treatment. The purpose of this paper is to present a tele-rehabilitation system that uses the motion-tracking sensor of the Kinect, to allow the elderly users natural interaction, combined with a set of external sensors as a form of input. Data fusion techniques are applied in order to integrate these data for detecting right movements and to monitor elder’s treatment in the rehabilitation process.

Keywords

Gamification Data fusion Ambient assisted living Human-computer interaction 

Notes

Acknowledgments

This work was partially funded by FAPERJ APQ1 Project 211.500/2015, FAPERJ APQ1 Project 211.451/2015, CNPq PVE Project 314017/2013-5 and by Projects MINECO TEC2012-37832-C02-01, CICYT TEC2011-28626-C02-02.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Javier Jiménez Alemán
    • 1
  • Nayat Sanchez-Pi
    • 2
    Email author
  • Luis Martí
    • 1
  • José Manuel Molina
    • 3
  • Ana Cristina Bicharra García
    • 1
  1. 1.Institute of ComputingFluminense Federal UniversityNiteróiBrazil
  2. 2.Institute of Mathematics and StatisticsRio de Janeiro State UniversityRio de JaneiroBrazil
  3. 3.Computer Science DepartmentCarlos III University of MadridMadridSpain

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