Data-based facial animation leverages real-world data, often captured through techniques like motion capture or facial tracking, to animate a digital character's face. This method relies on sensors or cameras to record detailed facial movements, such as muscle deformations, eye movements, and expressions, which are then mapped to a 3D model. By using this data, animators can achieve highly accurate and realistic facial animations that reflect the nuances of human expressions. The data collected is typically processed and refined, allowing for the creation of lifelike performances that can convey emotion, speech, and subtle interactions. This approach is commonly used in industries like film, video games, and virtual reality, where authenticity in character expression is crucial.