Inertial Motion Capture Costume Design Study
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...
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doaj-823b9a9606a94a9aaf3a051107c71ce82020-11-25T00:59:57ZengMDPI AGSensors1424-82202017-03-0117361210.3390/s17030612s17030612Inertial Motion Capture Costume Design StudyAgnieszka Szczęsna0Przemysław Skurowski1Ewa Lach2Przemysław Pruszowski3Damian Pęszor4Marcin Paszkuta5Janusz Słupik6Kamil Lebek7Mateusz Janiak8Andrzej Polański9Konrad Wojciechowski10Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, PolandInstitute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, PolandInstitute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, PolandInstitute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, PolandInstitute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, PolandInstitute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, PolandInstitute of Mathematics, Silesian University of Technology, 44-100 Gliwice, PolandPolish-Japanese Academy of Information Technology, 02-008 Warsaw, PolandPolish-Japanese Academy of Information Technology, 02-008 Warsaw, PolandInstitute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, PolandPolish-Japanese Academy of Information Technology, 02-008 Warsaw, PolandThe 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.http://www.mdpi.com/1424-8220/17/3/612wearable sensor systemIMU sensormotion capturesystem validationorientation estimation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Agnieszka Szczęsna Przemysław Skurowski Ewa Lach Przemysław Pruszowski Damian Pęszor Marcin Paszkuta Janusz Słupik Kamil Lebek Mateusz Janiak Andrzej Polański Konrad Wojciechowski |
spellingShingle |
Agnieszka Szczęsna Przemysław Skurowski Ewa Lach Przemysław Pruszowski Damian Pęszor Marcin Paszkuta Janusz Słupik Kamil Lebek Mateusz Janiak Andrzej Polański Konrad Wojciechowski Inertial Motion Capture Costume Design Study Sensors wearable sensor system IMU sensor motion capture system validation orientation estimation |
author_facet |
Agnieszka Szczęsna Przemysław Skurowski Ewa Lach Przemysław Pruszowski Damian Pęszor Marcin Paszkuta Janusz Słupik Kamil Lebek Mateusz Janiak Andrzej Polański Konrad Wojciechowski |
author_sort |
Agnieszka Szczęsna |
title |
Inertial Motion Capture Costume Design Study |
title_short |
Inertial Motion Capture Costume Design Study |
title_full |
Inertial Motion Capture Costume Design Study |
title_fullStr |
Inertial Motion Capture Costume Design Study |
title_full_unstemmed |
Inertial Motion Capture Costume Design Study |
title_sort |
inertial motion capture costume design study |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2017-03-01 |
description |
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. |
topic |
wearable sensor system IMU sensor motion capture system validation orientation estimation |
url |
http://www.mdpi.com/1424-8220/17/3/612 |
work_keys_str_mv |
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