Emotion Adjustment Research Based On Affective Recognition Of Galvanic Skin Response

Recent year’s Affective Compute ring has been valued by more and more researchers. The physiological signal which is a medium to recognize the emotion of people is becoming an important part in emotion recognizes. As a basic physiological signal---GSR is also used in emotion recognizes. In the state of the subject’s emotion induced by video, GSR has much information which can express the state of the subject’physiological, and this has been proved in medical science and psychology. In this article, the main work is using GSR physiological signal to make emotion adjustment which is based on the emotion recognize with GSR signal. So my main work as follows:Firstly using the GSR signal to recognize the emotion of the subject, Secondly a model of emotion adjustment have been built by the connection of the result of the emotion recognition, the way of Gross’s emotion adjustment and the partial least squares, at last we prove the timely emotion adjustment, a software was built.Using video to stimulate the subject’s emotion at the time of emotion recognize firstly, collecting the GSR signal using the physiological signal collection device, and then abstracts the feature from the GSR signal. These features consist of mean value, standard deviation, first difference, second difference, the maximum ratio, the minimum ratio and other30features. Use the PSO to run, the Fisher to classify, at last recognizing the object’s emotion. In this part, the main way is to use the PSO to analyze the signal, across the experiment and procedure, we conclude some feature which can recognize the emotion. This feature set can express the emotion better, and offer a base for the emotion adjustment. This part is based on the result of the "National Natural Science Foundation of China", and we make an improvement on the PSO.A main difference is make an improvement of the traditional way of psychology, obey the Gross’s opinion and the partial least squares, built a linearly relation between emotion state and the emotion adjustment, and we can make an effective adjustment using Cognitive reappraisal or expression suppression.Using the built adjustment model, we built software which is to adjust the timely emotion. The software consist of the way of adjustment, administration of administrate, information users administration, material administration and so on. Across the data, we found that the software can make an effect adjustment on the user’s negativity.