PAMS-DP: Building a Unified Open PAMS Human Movement Data Platform

Research on physical activity can reduce the probability of disease and improve people's health. Due to the complexity and diversity of human movement, the lack of a unified and standardized human movement data has become a significant bottleneck in human movement research. Building a unified and standardized human movement data platform requires four key technologies: movement modeling, movement coding, movement data organization, and movement data storage. In this paper, we propose a solution to building a large-scale movement data platform by researching these four key technologies and realizing the construction of the PAMS human movement data platform (PAMS-DP). PAMS-DP can integrate massive movement data, storing and automatically analyzing movement relationships and movement properties, publicly providing available movement data files in a unified and standardized format, and enhancing people's understanding of human movements. Consequently, redundant work associated with collecting and processing massive movement data is reduced.