• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.11a
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• pp.104-105
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• 2011

• Science of Emotion and Sensibility
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• v.16 no.1
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• pp.95-106
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• 2013

The study compares accuracies between humans and computer algorithms in the discrimination of spontaneous smiles from posed smiles. For this purpose, subjects performed two tasks, one was judgment with single pictures and the other was judgment with pair comparison. At the task of judgment with single pictures, in which pictures of smiling facial expression were presented one by one, subjects were required to judge whether smiles in the pictures were spontaneous or posed. In the task for judgment with pair comparison, in which two kinds of smiles from one person were presented simultaneously, subjects were to select spontaneous smile. To calculate the discrimination algorithm accuracy, 8 kinds of facial features were used. To calculate the discriminant function, stepwise linear discriminant analysis (SLDA) was performed by using approximately 50 % of pictures, and the rest of pictures were classified by using the calculated discriminant function. In the task of single pictures, the accuracy rate of SLDA was higher than that of humans. In the analysis of accuracy on pair comparison, the accuracy rate of SLDA was also higher than that of humans. Among the 20 subjects, none of them showed the above accuracy rate of SLDA. The facial feature contributed to SLDA effectively was angle of inner eye corner, which was the degree of the openness of the eyes. According to Ekman's FACS system, this feature corresponds to AU 6. The reason why the humans had low accuracy while classifying two kinds of smiles, it appears that they didn't use the information coming from the eyes enough.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.1981-1995
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• 2021

When a person tries to conceal emotions, real emotions will manifest themselves in the form of micro-expressions. Research on facial micro-expression recognition is still extremely challenging in the field of pattern recognition. This is because it is difficult to implement the best feature extraction method to cope with micro-expressions with small changes and short duration. Most methods are based on hand-crafted features to extract subtle facial movements. In this study, we introduce a method that incorporates optical flow and deep learning. First, we take out the onset frame and the apex frame from each video sequence. Then, the motion features between these two frames are extracted using the optical flow method. Finally, the features are inputted into an improved MobileNetV2 model, where SVM is applied to classify expressions. In order to evaluate the effectiveness of the method, we conduct experiments on the public spontaneous micro-expression database CASME II. Under the condition of applying the leave-one-subject-out cross-validation method, the recognition accuracy rate reaches 53.01%, and the F-score reaches 0.5231. The results show that the proposed method can significantly improve the micro-expression recognition performance.

• Journal of Acupuncture Research
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• v.22 no.5
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• pp.183-193
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• 2005

Objectives : The purpose of this case is to report the improvement after the acupuncture therapy and herbal medicine about two patients with senile oro-facial dyskinesia. Methods : We treated the patient with acupuncture therapy and herbal medicine by evaluating facial, lips, jaw and tongue expression of AIMS(Abnormal Involuntary Movement Scale) and clinical symptom progress. Results : We have recently experienced two cases of senile oro-facial dyskinesia. Two patients were improved significantly through the acupuncture therapy and herbal medicine, so we report it for the better treatment. Conclusion : Oro-facial dyskinesia is stereotyped movements, consisting of smacking and pursing of the lips, lateral deviation and protrusion of the tongue, and occasionally lateral deviation and protrusion of the jaw. Spontaneous oro-facial dyskinesias occur in the elderly and had been said to result from edentulousness. Oriental medical treatment for oro-facial dyskinesia resulted in satisfactory results by diminishing the symptoms progressively during the admission periods. More research of oro-facial dyskinesia is needed.