title: Inertial Motion Capture Costume Design Study.
abstract: The paper describes a scalable, wearable multi-sensor system for motion capture based on inertial measurement units (IMUs). Such a unit is composed of accelerometer, gyroscope and magnetometer. The final quality of an obtained motion arises from all the individual parts of the described system. The proposed system is a sequence of the following stages: sensor data acquisition, sensor orientation estimation, system calibration, pose estimation and data visualisation. The construction of the system's architecture with the dataflow programming paradigm makes it easy to add, remove and replace the data processing steps. The modular architecture of the system allows an effortless introduction of a new sensor orientation estimation algorithms. The original contribution of the paper is the design study of the individual components used in the motion capture system. The two key steps of the system design are explored in this paper: the evaluation of sensors and algorithms for the orientation estimation. The three chosen algorithms have been implemented and investigated as part of the experiment. Due to the fact that the selection of the sensor has a significant impact on the final result, the sensor evaluation process is also explained and tested. The experimental results confirmed that the choice of sensor and orientation estimation algorithm affect the quality of the final results.
authors.affiliation: Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland. Agnieszka.Szczesna@polsl.pl.
authors.forename: Agnieszka
authors.initials: A
authors.lastname: Szczęsna
authors.affiliation: Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland. Przemyslaw.Skurowski@polsl.pl.
authors.forename: Przemysław
authors.initials: P
authors.lastname: Skurowski
authors.affiliation: Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland. Ewa.Lach@polsl.pl.
authors.forename: Ewa
authors.initials: E
authors.lastname: Lach
authors.affiliation: Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland. Przemyslaw.Pruszowski@polsl.pl.
authors.forename: Przemysław
authors.initials: P
authors.lastname: Pruszowski
authors.affiliation: Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland. Damian.Peszor@polsl.pl.
authors.forename: Damian
authors.initials: D
authors.lastname: Pęszor
authors.affiliation: Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland. Marcin.Paszkuta@polsl.pl.
authors.forename: Marcin
authors.initials: M
authors.lastname: Paszkuta
authors.affiliation: Institute of Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland. Janusz.Slupik@polsl.pl.
authors.forename: Janusz
authors.initials: J
authors.lastname: Słupik
authors.affiliation: Polish-Japanese Academy of Information Technology, 02-008 Warsaw, Poland. kamil.lebek@gmail.com.
authors.forename: Kamil
authors.initials: K
authors.lastname: Lebek
authors.affiliation: Polish-Japanese Academy of Information Technology, 02-008 Warsaw, Poland. mjaniak@pjwstk.edu.pl.
authors.forename: Mateusz
authors.initials: M
authors.lastname: Janiak
authors.affiliation: Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland. Andrzej.Polanski@polsl.pl.
authors.forename: Andrzej
authors.initials: A
authors.lastname: Polański
authors.affiliation: Polish-Japanese Academy of Information Technology, 02-008 Warsaw, Poland. Konrad.Wojciechowski@polsl.pl.
authors.forename: Konrad
authors.initials: K
authors.lastname: Wojciechowski
mesh_terms: D000465:Algorithms; D002138:Calibration; D003201:Computers; D006801:Humans; D009038:Motion
keywords: IMU sensor; motion capture; orientation estimation; system validation; wearable sensor system