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http://dx.doi.org/10.5369/JSST.2017.26.2.128

Motion Sensing System for Automation of Neuropsycological Test  

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)
Publication Information
Journal of Sensor Science and Technology / v.26, no.2, 2017 , pp. 128-134 More about this Journal
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
Neuropsychological Tests; Gesture Recognition; Motion Sensor; Test Device; Cognitive Rehabilitation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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