Digital Twin Simulation for Attribute-Based Movement Verification

The patent creates a digital twin that copies real-world conditions, including personal movement data with attribute information, into a virtual environment. This digital twin replicates the real world's complexity and dynamics, enabling accurate simulation of measure effects while maintaining the ability to reflect real-world conditions. The digital twin includes virtual representations of people, their movements, and contextual attributes, allowing high-fidelity measurement of measure verification.

The digital twin serves as an intermediary that mediates between real-world data and simulation requirements. It collects, stores, and manages personal movement data with attribute information in a structured virtual environment, making the data accessible and usable for simulation without exposing the complexity of data acquisition processes. The digital twin abstracts the complexity of data handling while maintaining high measurement precision through accurate data representation.

The digital twin system segments the real world into manageable virtual representations, separating different aspects (people, movements, attributes, environments) into distinct data structures and simulation modules. This segmentation allows the complex system to be constructed and managed through modular components, reducing overall system complexity while maintaining high simulation accuracy through detailed representations of each segment.