Visual evoked potential affective recognition method based on width learning

Abstract

The invention belongs to electroencephalogram feature classification of the field of biometric feature recognition and in particular discloses a visual evoked potential affective recognition method based on width learning. The method comprises the following five steps: performing adaptability evaluation on an international affective picture system (IAPS); acquiring electroencephalogram generated on the basis of visual evocation; preprocessing data by using methods such as band-pass filtering; extracting multiple features of the electroencephalogram in different methods; and performing classification treatment on the electroencephalogram on the basis of width learning. According to the experiment method designed by the invention, adaptability evaluation on the international affective picture system (IAPS) is implemented, so that the experiment accuracy can be improved; as the data are preprocessed by using the methods such as band-pass filtering, fluctuation and differences of the electroencephalogram at different moments can be eliminated; as multiple features are extracted by using a power spectrum density method, the robustness and the efficiency of electroencephalogram and affective classification can be improved; and as affective classification is implemented by using a width learning method, results of affective classification can be prevented from local optimum, and in addition, the cost can be reduced.

Description

technical field [0001] The invention belongs to the classification of electroencephalogram signal features in the field of biometric feature recognition, and specifically relates to a method for recognizing emotions by visual evoked potentials based on breadth learning. Background technique [0002] Emotion is a kind of reaction produced by people when they are stimulated by the outside world. It is a general term for a series of subjective cognitive experiences, and it is a psychological and physiological state produced by a variety of feelings, thoughts and behaviors. These stimuli include visual, auditory, olfactory, etc. Emotion is not a single existence in the field of psychology. It not only includes psychological and physiological reactions, but also reflects people's own needs and subjective attitudes. When emotions occur, they are always accompanied by certain external manifestations. These external manifestations related to emotions are called expressions, and the...

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Problems solved by technology

[0004] Research on emotion recognition has also been going on, but research on emotion classification based on EEG still faces many problems: how to evaluate the International Emotional Picture System (IAPS) to make the experimental results more accurate when conducting emotional picture-induced experiments; Different subjects, fluctuations and differences between EEG signals at different times; how to improve the robustness and efficiency of EEG emotion classification; what kind of algorithm to use for emotion classification so that the results have little influence possible time savings

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