Visible to the public Effect of Age and Gender on Facial Emotion Recognition

TitleEffect of Age and Gender on Facial Emotion Recognition
Publication TypeConference Paper
Year of Publication2020
AuthorsOğuz, K., Korkmaz, İ, Korkmaz, B., Akkaya, G., Alıcı, C., Kılıç, E.
Conference Name2020 Innovations in Intelligent Systems and Applications Conference (ASYU)
Keywordsage effect, Artificial neural networks, classification, emotion recognition, face recognition, faces, facial emotion recognition, facial recognition, feature extraction, gender effect, Human Behavior, human computer interaction, Metrics, neural nets, Neural networks, pubcrawl, Reactive power, resilience, Resiliency, Support vector machines

New research fields and applications on human computer interaction will emerge based on the recognition of emotions on faces. With such aim, our study evaluates the features extracted from faces to recognize emotions. To increase the success rate of these features, we have run several tests to demonstrate how age and gender affect the results. The artificial neural networks were trained by the apparent regions on the face such as eyes, eyebrows, nose, mouth, and jawline and then the networks are tested with different age and gender groups. According to the results, faces of older people have a lower performance rate of emotion recognition. Then, age and gender based groups are created manually, and we show that performance rates of facial emotion recognition have increased for the networks that are trained using these particular groups.

Citation Keyoguz_effect_2020