| Popis: |
Considering the current massage effect evaluation of massage chair mainly depends on a small number of subjective’s subject evaluation, which lacks objectivity. In this paper, a massage effect evaluation system based on Electroencephalogram (EEG) is proposed to evaluate the massage effect by measuring the fatigue state. After the original EEG is processed by bandpass filtering and Hilbert-Huang Transform(HHT) denoising, wavelet packet decomposition is used to extract the energy features. Train Support Vector Machine(SVM), Neural Network(NN) and Light Gradient Boosting Machine(LightGBM) models. Then fuse models under Stacking framework and finally estimate the fatigue state of the human body, so as to evaluate the massage effect and guide the parameter design of the massage chair. Experimental results verify the feasibility of this method. |
