@inproceedings{eb8407a15cd849449ec4d236dfceee94,
title = "A survey of selected machine learning methods for the segmentation of rawmotion capture data into functional body mesh",
abstract = "The paper describes the progress in the research for the automatic inferring method of the body structure{\textemdash}functional body mesh. In the paper we investigate four motionmeasures and machine learning methods{\textemdash}variants ofGaussian mixturemodels, DBScan and Neural Networks. The results were analyzed both{\textemdash}quantitatively and qualitatively using complete and incomplete data, of healthy and impaired persons. All the learning methods were on par with the others, however, we identified cases for which certain method works better.",
keywords = "Body segmentation, Machine learning, Motion analysis",
author = "Magdalena Pawlyta and Przemys{\l}aw Skurowski",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 5th International Conference on Information Technologies in Biomedicine, ITIB 2016 ; Conference date: 20-06-2016 Through 22-06-2016",
year = "2016",
doi = "10.1007/978-3-319-39904-1\_29",
language = "English",
isbn = "9783319399034",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "321--336",
editor = "Ewa Pi{\c e}tka and Pawel Badura and Jacek Kawa and Wojciech Wieclawek",
booktitle = "Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings",
address = "Germany",
}