Our latest paper published in Scientific Data (Nature), entitled “Multimodal video and IMU kinematic dataset on daily life activities using affordable devices”, M. Martínez-Zarzuela et al. , describes our publicly available dataset VIDIMU, available in Zenodo repository.
The objective of the VIDIMU dataset is to pave the way towards affordable patient gross motor tracking solutions for daily life activities recognition and kinematic analysis in out-of-the-lab environments.
The novelty of this dataset lies in: (i) the clinical relevance of the chosen movements, (ii) the combined utilization of affordable video and custom sensors, and (iii) the implementation of state-of-the-art tools for multimodal data processing of 3D body pose tracking and motion reconstruction in a musculoskeletal model from inertial data.
