| Title | Emotion Detection and Analysis from Facial Image using Distance between Coordinates Feature |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Bae, Jin Hee, Kim, Minwoo, Lim, Joon S. |
| Conference Name | 2021 International Conference on Information and Communication Technology Convergence (ICTC) |
| Date Published | oct |
| Keywords | classification, coordinate distance correlation, data mining, emotion recognition, face recognition, facial recognition, feature extraction, Human Behavior, image recognition, information and communication technology, Metrics, Observers, pubcrawl, resilience, Resiliency |
| Abstract | Facial expression recognition has long been established as a subject of continuous research in various fields. In this study, feature extraction was conducted by calculating the distance between facial landmarks in an image. The extracted features of the relationship between each landmark and analysis were used to classify five facial expressions. We increased the data and label reliability based on our labeling work with multiple observers. Additionally, faces were recognized from the original data, and landmark coordinates were extracted and used as features. A genetic algorithm was used to select features that were relatively more helpful for classification. We performed facial recognition classification and analysis using the method proposed in this study, which showed the validity and effectiveness of the proposed method. |
| DOI | 10.1109/ICTC52510.2021.9621199 |
| Citation Key | bae_emotion_2021 |
Emotion Detection and Analysis from Facial Image using Distance between Coordinates Feature