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EEG Analysis from Motor Imagery to Control a Forestry Crane

  • Midhumol Augustian
  • Shafiq ur RéhmanEmail author
  • Axel Sandvig
  • Thivra Kotikawatte
  • Mi Yongcui
  • Hallvard Røe Evensmoen
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 722)

Abstract

Brain-computer interface (BCI) systems can provide people with ability to communicate and control real world systems using neural activities. Therefore, it makes sense to develop an assistive framework for command and control of a future robotic system which can assist the human robot collaboration. In this paper, we have employed electroencephalographic (EEG) signals recorded by electrodes placed over the scalp. The human-hand movement based motor imagery mentalization is used to collect brain signals over the motor cortex area. The collected µ-wave (8–13 Hz) EEG signals were analyzed with event-related desynchronization/synchronization (ERD/ERS) quantification to extract a threshold between hand grip and release movement and this information can be used to control forestry crane grasping and release functionality. The experiment was performed with four healthy persons to demonstrate the proof-of concept BCI system. From this study, it is demonstrated that the proposed method has potential to assist the manual operation of crane operators performing advanced task with heavy cognitive work load.

Keywords

Brain-computer interface (BCI) Mu-wave Motor imagery Event-related desynchronization (ERD) Event-related synchronization (ERS) Forestry crane Assistive technologies HCI 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Midhumol Augustian
    • 1
  • Shafiq ur Réhman
    • 1
    Email author
  • Axel Sandvig
    • 2
    • 3
  • Thivra Kotikawatte
    • 2
  • Mi Yongcui
    • 1
  • Hallvard Røe Evensmoen
    • 3
  1. 1.Department of Applied Physics and Electronics (TFE)Umeå UniversityUmeåSweden
  2. 2.Division of Neuro Head and NeckUmeå UniversityUmeåSweden
  3. 3.Norwegian University of Science and Technology (NTNU)TrondheimNorway

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