A novel database of Teenager's spontaneous facial expressions

This dataset presents a comprehensive collection of spontaneous facial expressions obtained from 14 teenagers, encompassing six fundamental emotions: Anger, Disgust, Fear, Happy, Sad, and Surprise. With a total of 314 videos, the dataset comprises approximately 59,000 emotional frames, including both emotional expressions and neutral states. Recorded using an HD Webcam with 1080P resolution and a frame rate of 30 fps, the dataset captures authentic and unposed facial expressions, distinguishing it from existing databases. Its diverse subjects from various backgrounds enable cross-cultural and ethnic studies of facial expressions and emotions. Addressing the scarcity of similar datasets focused on teenagers, the dataset underwent thorough validation by seven validators, achieving a 64% average accuracy in emotion recognition. The dataset's potential applications range from enhancing facial expression recognition systems to investigating the impact of facial and body movements, while also providing a valuable resource for benchmarking and comparison within the vision community.