Journal of Multimedia Information System

Korea Multimedia Society (한국멀티미디어학회)
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Normalization Framework of BCI-based Facial Interface

  • Sung, Yunsick (Faculty of Computer Engineering, Keimyung University) ;
  • Gong, Suhyun (Faculty of Computer Engineering, Keimyung University)
  • Received : 2015.08.21
  • Accepted : 2015.10.12
  • Published : 2015.09.30
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Abstract

Recently brainwaves are utilized diversely in the field of medicine, entertainment, education and so on. In the case of medicine, brainwaves are analyzed to estimate patients' diseases. However, the applications for entertainments usually utilize brainwaves as control signal without figuring out the characters of the brainwaves. Given that users' brainwaves are different each other, a normalization method is essential. The traditional brainwave normalization approaches utilize normal distribution. However, those approaches assume that brainwaves are collected enough to conduct normal distribution. When the few amounts of brainwaves are measured, the accuracy of the control signal based on the measured brainwaves becomes low. In this paper, we propose a normalization framework of BCI-based facial interfaces for novel volume controllers, which can normalizes the few amounts of brainwaves and then generates the control signals of BCI-based facial interfaces. In the experiments, two subjects were involved to validate the proposed framework and then the normalization processes were introduced.

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