Electroencephalographic Characteristic of Automatic Calibration of Finger Movements in Graphic Design
Jian Liu · NeuroQuantology · 2018
With the development of the graphic design, the computers replace the traditional paper drawing process, which means the high requirement about the finger movement during normal work. In this paper, a experiment has been done to collect the electroencephalography signal of finger automatic correction under the situation of graphic design, which is highly relied on the finger movement to operate the computer. The research outcome presents that the half brain difference on bereits-chaft-spotential (BP) and event-related desynchronization (ERD) are two characteristics of electroencephalography signal when the automatic correction happens in the finger movement, which means that the opposite brain would be more active when the single side finger moved. The characteristic of electroencephalography signal would benefit the exploration and development of graphic design assist system to improve the efficiency of design process.