Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Motion Sensing System for Automation of Neuropsycological Test

신경인지 검사를 위한 모션 센싱 시스템

  • Jo, Wonse (KMF Company) ;
  • Cheon, Kyeong-Min (Nanobiotronics, Dep. of Robotics and Automation Engineering, Hoseo University) ;
  • Rew, Keun-Ho (Nanobiotronics, Dep. of Robotics and Automation Engineering, Hoseo University)
  • 조원서 ((주) KMF 기술개발팀) ;
  • 천경민 (호서대학교 로봇자동화공학과, 나노바이오트로닉스학과) ;
  • 류근호 (호서대학교 로봇자동화공학과, 나노바이오트로닉스학과)
  • Received : 2017.03.17
  • Accepted : 2017.03.27
  • Published : 2017.03.31
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Abstract

Until now, neuropsychological tests can diagnose the brain dysfunction, however, cannot distinguish the objective data of experiment enough to distinguish the relationships between brain dysfunction and cerebropathia. In this paper, an automatic cognitive test equipment system with 6-axis motion sensors was proposed for the automation of neuropsychological tests. Fist-Edge-Palm(FEP) test and Go-no go test were used to evaluate motor programming of frontal lobe. The motion data from the specially designed motion glove are transmitted wirelessly to a computer to detect the gestures automatically. The healthy 20 and 11 persons are investigated for the FEP and Go-No go test, respectively. The recognition rates of gestures of FEP and Go-No go test are min. 91.38% and 89.09%. In conclusion, the automations of cognitive tests are successful to diagnose the brain diagnostics quantitatively.

Keywords

References

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