@inproceedings{vox2019framework,
 author = {Vox, J. P. and Wallhoff, F.},
 title = {A Framework for the Analysis of Biomechanical Loading Using Human Motion Tracking},
 keywords = {biology computing;biomechanics;feature extraction;image classification;image filtering;image motion analysis;image segmentation;image sequences;learning (artificial intelligence);polynomials;support vector machines;user interfaces;automatic analysis;critical joint angle ranges;Cartesian joint positions;motion tracking systems;data processing steps;biomechanical loading;human motion tracking;feedback system;biomechanical load analysis;joint angles;gymnastic motions;motion sequence recognition;data processing step filtering;feature extraction;support vector machine;image classification;image segmentation;normalization;polynomial kernel;user interface;Wearable sensors;Tracking;Data processing;Support vector machines;Sensor systems;Software;motion analysis;biomechanical load;machine learning;data processing;skeleton data;motion recognition},
 tags = {""},
 booktitle = {2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI)},
 year = {2019},
 pages = {39-46},
 doi = {10.1109/IRI.2019.00020},
 isbn = {978-1-7281-1337-1},
}