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Analysis of Facial Expression Recognition by Event-related Potentials
| Content Provider | Semantic Scholar |
|---|---|
| Author | Hayasaka, Taichi Miyachi, Ayumi |
| Copyright Year | 2017 |
| Abstract | Recognition of facial expression is an important ability in human life, and it is related with emotion closely. In this article we performed the psychophysical experiments for the purpose of clarifying the process of facial expression recognition by analyzing event-related potentials (ERP). We examined the difference of ERP between smile and anger faces, and classified the results of smiling faces with the mouth opened or closed. From a viewpoint of the late positive ERP components, experimental results suggest that (i) an anger face is handled than smile earlier, (ii) the smile with the mouth closed is processed similar to an anger face in comparison with a grinning face, and (iii) N400 and P500 responses are related to the final categorization of emotions. Moreover, differences of ERP in the prefrontal cortex were obtained between participants, in which it is argued by the difference in scheme that they took for expression discrimination. Based on the hypotheses, we proposed an information processing model to recognize smiling and anger faces. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ijbem.org/volume18/number1/13-18.pdf |
| Alternate Webpage(s) | http://www.ijbem.org/volume18/number1/ijbem_vol18_no1_pp13-18.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
