We present the architecture of the Motion Data Editor (MDE) real-time development framework for multi-modal motion data management, visualization and analysis. There is an emerging need for such tools due to the capability of recording and computing large number of motion modalities with high precision, synchronized in time domain. Such tools should be efficient, easy to use and flexible to apply to various data types and algorithms. Proposed Motion Data Editor (MDE) is dedicated to general data processing, and supports most of the common functionalities during data analysis. We discuss the most important functional requirements and present selected elements of system architecture: core data types, functionality and processing logic elements. The MDE with Human Motion Laboratory (HML) and cloud based Human Motion Database (BDR) [3] constitute collaborative environment for acquisition and analysis of multi-modal synchronized motion data for medical research and entertainment. © 2014 Springer International Publishing Switzerland.
CITATION STYLE
Kulbacki, M., Janiak, M., & Knieć, W. (2014). Motion data editor software architecture oriented on efficient and general purpose data analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8398 LNAI, pp. 545–554). Springer Verlag. https://doi.org/10.1007/978-3-319-05458-2_56
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