Documento de conferencia

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

Book Series cp
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
  • Volumen: 11486 LNCS
  • Fecha: 01 enero 2019
  • Páginas: 11-21
  • ISSN: 16113349 03029743
  • ISBN: 9783030195908
  • Tipo de fuente: Serie de libros
  • DOI: 10.1007/978-3-030-19591-5_2
  • Tipo de documento: Documento de conferencia
  • Editorial: Springer Verlagservice@springer.de
© 2019, Springer Nature Switzerland AG.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.

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