User-perceived Information Visualization Method in Human Body Acupoint System

Abstract

Information visualization is a trend and research hotspot in various fields. This paper constructs a user-perceived information visualization framework and applies it to the human acupoint system. A user-perceptual visualization method of three-layer architecture is proposed. A unified storage method and access interface are provided in the data unified layer to effectively manage data information. Then, in the user perception layer, the K-means clustering method is used to generate the expected interface of the system, which reduces the processing tasks of the subsequent visualization process. The visual implementation layer forms an actual interface for interface design such as interaction, navigation, and the like of the content of the intended interface. Finally, an application example of the acupoint system is given, which proves that the method can complete the visualization from the source data to the actual interface.