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Implementation of Educational Brain Motion Controller for Machine Learning Applications

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2020, 25(8), pp.111-117
  • DOI : 10.9708/jksci.2020.25.08.111
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : July 28, 2020
  • Accepted : August 24, 2020
  • Published : August 31, 2020

Myeong-Chul Park 1 Choi Duk Kyu 1 Tae-Sun Kim 1

1경운대학교

Accredited

ABSTRACT

Recently, with the high interest of machine learning, the need for educational controllers to interface with physical devices has increased. However, existing controllers are limited in terms of high cost and area of utilization for educational purposes. In this paper, motion control controllers using brain waves are proposed for the purpose of students' machine learning applications. The brain motion that occurs when imagining a specific action is measured and sampled, then the sample values were learned through Tensor Flow and the motion was recognized in contents such as games. Movement variation for motion recognition consists of directionality and jump motion. The identification of the recognition behavior is sent to a game produced by an Unreal Engine to operate the character in the game. In addition to brain waves, the implemented controller can be used in various fields depending on the input signal and can be used for educational purposes such as machine learning applications.

Citation status

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