Development of a platform for sensor systems support in sport

Biomechanical systems and applications in sport and rehabilitation regularly use different sensors. Use of sensors and smart equipment allows measurements of different physical quantities. As sensors can produce large amount of data, this has to be stored for post-processing and analysis. Every application has its own operation specific data flow and storage solution. Every application is different from another this is especially true in the relational database model. In this paper, we present a solution to this problem in a universal data model that can be used in any sensor-based application. We propose a cloud platform architecture that allows for the manipulation of sensor data and metadata. Signals and (meta) data that are associated with biomechanical systems are presented to underline the problem of universality; we present platform requirements and development of a cloud platform architecture. A shooting application usage with this platform is presented.