Brain signal acquisition methods in BCIs to estimate human motion intention-A survey

D. S.V. Bandara, Kazuo Kiguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Brain Computer Interfaces (BCIs) play an important role in current technological era to replace the disrupted neuromuscular pathways of humans caused by disorders or amputation. Especially, in restoring the motor functions of disabled or amputated body parts using wearable robotic devices, BCIs contribute to estimate the user's motion in terms of next motion onset, intended motion, and its velocity to control them. Brain signal acquisition is one of the important steps of a BCI. Over the time, both invasive and non-invasive techniques for signal acquisition are in use. This paper reviews available brain signal acquisition techniques in terms of mutual drawbacks and benefits, current status, challenges, future developments, etc.

Original languageEnglish
Title of host publicationMHS 2018 - 2018 29th International Symposium on Micro-NanoMechatronics and Human Science
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538667927
DOIs
Publication statusPublished - Dec 2018
Event29th International Symposium on Micro-NanoMechatronics and Human Science, MHS 2018 - Nagoya, Japan
Duration: Dec 10 2018Dec 12 2018

Publication series

NameMHS 2018 - 2018 29th International Symposium on Micro-NanoMechatronics and Human Science

Conference

Conference29th International Symposium on Micro-NanoMechatronics and Human Science, MHS 2018
CountryJapan
CityNagoya
Period12/10/1812/12/18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Instrumentation
  • Human-Computer Interaction

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