多数決法を用いた画像観察時の脳血流動態による嗜好の推定

抄録

In recent years, Quality of Experience (QoE) from the user’s perspective, has been attracting attention. Attempts have been made to quantify QoE by clarifying changes in various biological information. In this study, we show the evaluation image that gives pleasant and unpleasant feelings to the subject, measure the changing cerebral hemodynamics by Near Infrared Spectroscopy (NIRS), and estimate the result by using wavelet transform and neural network. In addition, we propose a majority voting method, as learning of data from multiple Channel’s may be effective.