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Fusion of Inertial Motion Sensors and Electroencephalogram for Activity Detection

  • Ibai Baglietto Araquistain
  • Xabier Garmendia
  • Manuel GrañaEmail author
  • Javier de Lope Asiain
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11486)

Abstract

A central issue in Computational Neuroethology is the fusion of information coming from a wide variety of devices, by computational tools and techniques aiming to correlate the neural substrate and the observable behavior. In this paper we are concerned with the fusion of information from two specific commercial devices, the Emotiv EPOC+ EEG recorder, and the Rokoko motion capture suite based on inertial motion units (IMU). We have built an ad hoc system for synchronized data capture. We test the system on the recognition of simple activities. We are able to confirm that the fusion of the neural activity information and the motion information improves the activity recognition.

Notes

Acknowledgments

This work has been partially supported by FEDER funds through MINECO project TIN2017-85827-P, and project KK-2018/00071 of the Elkartek 2018 funding program of the Basque Government

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ibai Baglietto Araquistain
    • 1
  • Xabier Garmendia
    • 1
  • Manuel Graña
    • 1
    Email author
  • Javier de Lope Asiain
    • 2
  1. 1.Computational Intelligence GroupUniversity of the Basque Country, (UPV/EHU)San SebastiánSpain
  2. 2.Computational Cognitive Robotics Group, Department of Artificial IntelligenceUniversidad Politécnica de Madrid (UPM)MadridSpain

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