@inbook{82751907b2984aadb94c6ae8acbf4344,
title = "Computer-based analysis of spontaneous infant activity: A pilot study",
abstract = "The development of computer-aided infants diagnosis systems is currently popular field of research. Video recordings provide the opportunity to develop a non-invasive, objective and reproducible tool for assessing the quality of infant movements. The aim of this pilot study is attempt to numerically describe selected movement parameters of the normal activity of 10 infants. The whole group was assessed at fidgety movements by four experts. Infant limbs movement features were based on kinematic parameters like velocity and acceleration. Basic information about movement location was described as mean value. Novel parameters characterised movement range based on ellipses described on limbs trajectories have been proposed.",
keywords = "Computer-based video analysis, Developmental neurodiagnostics, Feature extraction, Physiotherapy",
author = "Iwona Doroniewicz and Daniel Ledwo{\'n} and Bugdol, \{Monika N.\} and Katarzyna Kieszczy{\'n}ska and Alicja Affanasowicz and Ma{\l}gorzata Matyja and Dariusz Badura and Mitas, \{Andrzej W.\} and Andrzej My{\'s}liwiec",
note = "Publisher Copyright: {\textcopyright} The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.",
year = "2021",
doi = "10.1007/978-3-030-49666-1\_12",
language = "English",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "147--159",
booktitle = "Advances in Intelligent Systems and Computing",
address = "Germany",
}