20.500.12556/RUL-154044 Unified platform for storing, retrieving, and analysing biomechanical applications data using graph database Sensors and smart equipment are frequently used in biomechanical systems and applications in sports and rehabilitation to measure various physical quantities. Various sensors, measuring different parameters, can produce a large amount of data at high speeds and volumes that must be stored for real-time or post-processing and analysis. In addition to sensor data, metadata is an important component and can vary between biomechanical applications. Currently however, each application typically has its own unique data flow and storage solution. In this research, we present a universal data model solution that can be applied to any sensor-based biomechanical application in sport and physical rehabilitation. Our proposed cloud platform architecture allows for the manipulation of sensor data and metadata using a combination of Big Data and conventional techniques. The main idea of this research is to develop a platform that allows a universal way for any biomechanical application to handle its data regardless of the type of data and metadata. This is achieved by creating a universal data model, and implementing this data model in a generalized architecture using a graph database. We demonstrate the benefits of this approach using examples from existing biomechanical systems and describe the development of the cloud platform architecture and the underlying data model. We also provide an example of the use of this platform in a sport shooting application. This approach is unique in that it allows data from different sources and applications to be stored and processed using the same procedures and techniques, facilitating data analysis and application development. We envision this system will expand to multiple different biomechanical applications in the future. We expect that in time, the ability to compare various data and store different biomechanical datasets will become necessity. With the advantages of modern recommender systems and utilization of artificial intelligence, huge amounts of relevant and well-prepared data with useful metadata are required thus having such system is an important advantage for future biomechanical systems development. With the increase of people’s awareness and usage of devices that increase well-being and quality of life, presented platform and similar systems will play a pivotal role in shaping the future lifestyle. biomechanical application sensor systems cloud platform big data data modelling graph database application programming interface sport rehabilitation connected devices biomehanske aplikacije senzorski sistemi oblačna platforma podatkovni model grafna podatkovna baza aplikacijski programski vmesnik šport rehabilitacija povezane naprave true false true Angleški jezik Slovenski jezik Članek v reviji 2024-01-22 10:03:50 2024-01-22 10:03:51 2024-01-23 03:38:31 0000-00-00 00:00:00 2023 0 0 18 str. Vol. 10, art. 68 2023 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004 2196-1115 10.1186/s40537-023-00747-y 152482819 s40537-023-00747-y.pdf s40537-023-00747-y.pdf 1 C384A54C514DDC0733F4B870F6AB0227 4344cdc2dab4c0571dc3a2f4e6d1c7ac24e89c277f6caf88e6435b5d5f1ff591 8475cd19-b905-11ee-88cd-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=180186 https://journalofbigdata.springeropen.com/articles/10.1186/s40537-023-00747-y 1 2a766236-b905-11ee-88cd-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=180185 Fakulteta za elektrotehniko 0 0 0