Research Article

The Effect of the Age in using the Brain-Machine Interface

Volume: 7 Number: 2 December 26, 2019
EN TR

The Effect of the Age in using the Brain-Machine Interface

Abstract

Brain Machine Interface (BMI) especially used for disabled people and military services. However, in the literature review, no study was detected on the relationship between the age of the person using the device and the performance of it. The aim of this study is to detect whether age is important in controlling a robot using BMI or in which age range this control is more efficient. The study was carried out with 45 healthy male subjects (age range: 7-60). The focusing and activating time of each subject was recorded and analysed. The analysis results showed that this time was the shortest in children and the longest in adults. The study results indicated that the time to focus and activate the device increased in parallel with the age, and hence, the children and the young were much better at controlling or activating an external device through BMI.

Keywords

References

  1. Dogan A., Calp M.H., Arı E.M., Ozkose H.A. Research on brain- computer interfaces in the scope of human-computer interaction: Properties and working principle, Management information journal. 1:1-10, 2015.
  2. Nicolas-Alonso L.F., Gomez-Gil J. Brain computer interfaces, a review. Sensors. 12:1211–1279, 2012.
  3. Patil P.G., Carmena J.M., Nicolelis M.A.L., Turner D.A. Ensemblerecordings of human subcortical neurons as a source of motor control signals for a brain-machine interface. Neurosurgery. 55: 27–38, 2004.
  4. Ulker B., Tabakcioglu M.B. Measurement and evaluation of brainwaves, attention and meditation values via neurosky biosensor. Gaziosmanpasa Journal of Scientific Research. 7: 25-33, 2018.
  5. Prathibha R., Swetha L., Shobha K.R. Brain computer interface: Design and development of a smart robotic gripper for a prosthesis environment. 2017 International Conference on Networks & Advances in Computational Technologies (NetACT), 2017.
  6. Chaudhary U., Birbaumer N., and Murguialday A.R. Brain–computer interfaces for communication and rehabilitation.Nature reviews neurology. 12: 513–525, 2016.
  7. Lebedev M.A., & Nicolelis M.A. Brain–machine interfaces: past, present and future. Trends neurosci. 29: 536–546, 2006.
  8. Nicolelis M.A.L. Actions from thoughts. Nature. 409: 403–407, 2001.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

December 26, 2019

Submission Date

July 30, 2019

Acceptance Date

December 24, 2019

Published in Issue

Year 2019 Volume: 7 Number: 2

APA
Alkış, M. E., & Koç, H. (2019). The Effect of the Age in using the Brain-Machine Interface. Mus Alparslan University Journal of Science, 7(2), 683-687. https://doi.org/10.18586/msufbd.598621
AMA
1.Alkış ME, Koç H. The Effect of the Age in using the Brain-Machine Interface. Mus Alparslan University Journal of Science. 2019;7(2):683-687. doi:10.18586/msufbd.598621
Chicago
Alkış, Mehmet Eşref, and Hüseyin Koç. 2019. “The Effect of the Age in Using the Brain-Machine Interface”. Mus Alparslan University Journal of Science 7 (2): 683-87. https://doi.org/10.18586/msufbd.598621.
EndNote
Alkış ME, Koç H (December 1, 2019) The Effect of the Age in using the Brain-Machine Interface. Mus Alparslan University Journal of Science 7 2 683–687.
IEEE
[1]M. E. Alkış and H. Koç, “The Effect of the Age in using the Brain-Machine Interface”, Mus Alparslan University Journal of Science, vol. 7, no. 2, pp. 683–687, Dec. 2019, doi: 10.18586/msufbd.598621.
ISNAD
Alkış, Mehmet Eşref - Koç, Hüseyin. “The Effect of the Age in Using the Brain-Machine Interface”. Mus Alparslan University Journal of Science 7/2 (December 1, 2019): 683-687. https://doi.org/10.18586/msufbd.598621.
JAMA
1.Alkış ME, Koç H. The Effect of the Age in using the Brain-Machine Interface. Mus Alparslan University Journal of Science. 2019;7:683–687.
MLA
Alkış, Mehmet Eşref, and Hüseyin Koç. “The Effect of the Age in Using the Brain-Machine Interface”. Mus Alparslan University Journal of Science, vol. 7, no. 2, Dec. 2019, pp. 683-7, doi:10.18586/msufbd.598621.
Vancouver
1.Mehmet Eşref Alkış, Hüseyin Koç. The Effect of the Age in using the Brain-Machine Interface. Mus Alparslan University Journal of Science. 2019 Dec. 1;7(2):683-7. doi:10.18586/msufbd.598621