Presented is the 4GAIT, a group of multimodal, high quality Reference Human Motion Datasets. The described in this article Multimodal Human Motion Lab provides a comprehensive environment for multimodal data acquisition, management and analysis. Introduced is a proposed PJIIT Multimodal Human Motion Database (MHMD) model for multimodal data representation and storage, along with Motion Data Editor - a toolkit for multimodal motion data management, visualization and analysis. As an example a group of three synchronized, multimodal, motion datasets using MHMD model: 4GAIT-HM, 4GAIT-Paarkinson and 4GAIT-MIS are described. Comparing to the currently available Human Motion Datasets, 4GAIT offers multiple data modalities presented within a unified model, higher video resolution, and larger volume of motion data for specific medical tasks, which better fulfills the needs of medical studies and human body biomechanics research. © 2014 Springer International Publishing Switzerland.
CITATION STYLE
Kulbacki, M., Segen, J., & Nowacki, J. P. (2014). 4GAIT: Synchronized MoCap, video, GRF and EMG datasets: Acquisition, management and applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8398 LNAI, pp. 555–564). Springer Verlag. https://doi.org/10.1007/978-3-319-05458-2_57
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