Effect of observer's cultural background and masking condition of target face on facial expression recognition for machine-learning dataset.

ABSTRACT: Facial expression recognition (FER) is significantly influenced by the cultural background (CB) of observers and the masking conditions of the target face. This study aimed to clarify these factors' impact on FER, particularly in machine-learning datasets, increasingly used in human-computer interaction and automated systems. We conducted an FER experiment with East Asian participants and compared the results with the FERPlus dataset, evaluated by Western raters. Our novel analysis approach focused on variability between images and participants within a "majority" category and the eye-opening rate of target faces, providing a deeper understanding of FER processes. Notable findings were differences in "fear" perception between East Asians and Westerners, with East Asians more likely to inte

SUBMITTER: Nagata M 

PROVIDER: S-EPMC11524507 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature