Understanding and annotating micro-gestures—subtle and short-duration movements often overlooked in daily life—plays a crucial role in advancing research on human behavior analysis, affective computing, and human–AI interaction. Although small in scale, these micro-gestures may carry important signals of intention, emotion, or decision-making processes. By systematically labeling such gestures from video data, we are contributing to a deeper understanding of fine-grained human motion and enabling the development of intelligent systems that can perceive human behavior with higher sensitivity and accuracy.