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Distinguishing Aging Clusters and Mobile Devices by Hand-Wrist Articulation: A Case of Study

  • Daniel Palacios-AlonsoEmail author
  • Carlos Lázaro-Carrascosa
  • Raquel Mas-García
  • José Manuel Ferrández Vicente
  • Andrés Gómez-Rodellar
  • Pedro Gómez-Vilda
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11486)

Abstract

Nowadays, video games are not considered only mere hobbies. The use of these tools is increased in last years. On the other hand, gamification and usability techniques have empowered the improvement of communication between player/user and Aided Communication Devices (ACD). New ACDs provide a novel approach to capture biomechanical features or indicators. This work consists of a novel methodology development to capture biomechanical indicators throughout multiplatform video games. The present work has an exploratory nature to measure, hand-wrist articulation features estimated from the smartphone’s accelerometer. The intention of the study is to answer some hypothesis for instance, if the device is crucial to evaluate player’s movement capabilities or if the age of the person as a key biomarker. Once these indicators have been tested, it will be able to use them in studies of neurodegenerative diseases, where involuntary tremor is one of the most important observable correlates.

Keywords

Hand-wrist articulation Video games Gamification Mobile devices Neurodegenerative diseases 

Notes

Acknowledgments

This work is being funded by grants TEC2016 – 77791 – C4 – 4 – R (MINECO, Spain) and CENIE _ TECA – PARK_55_02 INTERREG V – A Spain – Portugal (POCTEP).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Escuela Técnica Superior de Ingeniería InformáticaUniversidad Rey Juan CarlosMóstoles, MadridSpain
  2. 2.Neuromorphic Speech Processing Lab, Center for Biomedical TechnologyUniversidad Politécnica de MadridPozuelo de Alarcón, MadridSpain
  3. 3.Universidad Politécnica de CartagenaCartagenaSpain

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