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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Autor*in:	Agnieszka Szczęsna [verfasserIn] Przemysław Skurowski [verfasserIn] Ewa Lach [verfasserIn] Przemysław Pruszowski [verfasserIn] Damian Pęszor [verfasserIn] Marcin Paszkuta [verfasserIn] Janusz Słupik [verfasserIn] Kamil Lebek [verfasserIn] Mateusz Janiak [verfasserIn] Andrzej Polański [verfasserIn] Konrad Wojciechowski [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	wearable sensor system IMU sensor motion capture system validation orientation estimation

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 17(2017), 3, p 612
Übergeordnetes Werk:	volume:17 ; year:2017 ; number:3, p 612

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s17030612

Katalog-ID:	DOAJ079319041

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allfields	10.3390/s17030612 doi (DE-627)DOAJ079319041 (DE-599)DOAJ823b9a9606a94a9aaf3a051107c71ce8 DE-627 ger DE-627 rakwb eng TP1-1185 Agnieszka Szczęsna verfasserin aut Inertial Motion Capture Costume Design Study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. wearable sensor system IMU sensor motion capture system validation orientation estimation Chemical technology Przemysław Skurowski verfasserin aut Ewa Lach verfasserin aut Przemysław Pruszowski verfasserin aut Damian Pęszor verfasserin aut Marcin Paszkuta verfasserin aut Janusz Słupik verfasserin aut Kamil Lebek verfasserin aut Mateusz Janiak verfasserin aut Andrzej Polański verfasserin aut Konrad Wojciechowski verfasserin aut In Sensors MDPI AG, 2003 17(2017), 3, p 612 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:17 year:2017 number:3, p 612 https://doi.org/10.3390/s17030612 kostenfrei https://doaj.org/article/823b9a9606a94a9aaf3a051107c71ce8 kostenfrei http://www.mdpi.com/1424-8220/17/3/612 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2017 3, p 612
spelling	10.3390/s17030612 doi (DE-627)DOAJ079319041 (DE-599)DOAJ823b9a9606a94a9aaf3a051107c71ce8 DE-627 ger DE-627 rakwb eng TP1-1185 Agnieszka Szczęsna verfasserin aut Inertial Motion Capture Costume Design Study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. wearable sensor system IMU sensor motion capture system validation orientation estimation Chemical technology Przemysław Skurowski verfasserin aut Ewa Lach verfasserin aut Przemysław Pruszowski verfasserin aut Damian Pęszor verfasserin aut Marcin Paszkuta verfasserin aut Janusz Słupik verfasserin aut Kamil Lebek verfasserin aut Mateusz Janiak verfasserin aut Andrzej Polański verfasserin aut Konrad Wojciechowski verfasserin aut In Sensors MDPI AG, 2003 17(2017), 3, p 612 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:17 year:2017 number:3, p 612 https://doi.org/10.3390/s17030612 kostenfrei https://doaj.org/article/823b9a9606a94a9aaf3a051107c71ce8 kostenfrei http://www.mdpi.com/1424-8220/17/3/612 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2017 3, p 612
allfields_unstemmed	10.3390/s17030612 doi (DE-627)DOAJ079319041 (DE-599)DOAJ823b9a9606a94a9aaf3a051107c71ce8 DE-627 ger DE-627 rakwb eng TP1-1185 Agnieszka Szczęsna verfasserin aut Inertial Motion Capture Costume Design Study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. wearable sensor system IMU sensor motion capture system validation orientation estimation Chemical technology Przemysław Skurowski verfasserin aut Ewa Lach verfasserin aut Przemysław Pruszowski verfasserin aut Damian Pęszor verfasserin aut Marcin Paszkuta verfasserin aut Janusz Słupik verfasserin aut Kamil Lebek verfasserin aut Mateusz Janiak verfasserin aut Andrzej Polański verfasserin aut Konrad Wojciechowski verfasserin aut In Sensors MDPI AG, 2003 17(2017), 3, p 612 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:17 year:2017 number:3, p 612 https://doi.org/10.3390/s17030612 kostenfrei https://doaj.org/article/823b9a9606a94a9aaf3a051107c71ce8 kostenfrei http://www.mdpi.com/1424-8220/17/3/612 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2017 3, p 612
allfieldsGer	10.3390/s17030612 doi (DE-627)DOAJ079319041 (DE-599)DOAJ823b9a9606a94a9aaf3a051107c71ce8 DE-627 ger DE-627 rakwb eng TP1-1185 Agnieszka Szczęsna verfasserin aut Inertial Motion Capture Costume Design Study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. wearable sensor system IMU sensor motion capture system validation orientation estimation Chemical technology Przemysław Skurowski verfasserin aut Ewa Lach verfasserin aut Przemysław Pruszowski verfasserin aut Damian Pęszor verfasserin aut Marcin Paszkuta verfasserin aut Janusz Słupik verfasserin aut Kamil Lebek verfasserin aut Mateusz Janiak verfasserin aut Andrzej Polański verfasserin aut Konrad Wojciechowski verfasserin aut In Sensors MDPI AG, 2003 17(2017), 3, p 612 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:17 year:2017 number:3, p 612 https://doi.org/10.3390/s17030612 kostenfrei https://doaj.org/article/823b9a9606a94a9aaf3a051107c71ce8 kostenfrei http://www.mdpi.com/1424-8220/17/3/612 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2017 3, p 612
allfieldsSound	10.3390/s17030612 doi (DE-627)DOAJ079319041 (DE-599)DOAJ823b9a9606a94a9aaf3a051107c71ce8 DE-627 ger DE-627 rakwb eng TP1-1185 Agnieszka Szczęsna verfasserin aut Inertial Motion Capture Costume Design Study 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. wearable sensor system IMU sensor motion capture system validation orientation estimation Chemical technology Przemysław Skurowski verfasserin aut Ewa Lach verfasserin aut Przemysław Pruszowski verfasserin aut Damian Pęszor verfasserin aut Marcin Paszkuta verfasserin aut Janusz Słupik verfasserin aut Kamil Lebek verfasserin aut Mateusz Janiak verfasserin aut Andrzej Polański verfasserin aut Konrad Wojciechowski verfasserin aut In Sensors MDPI AG, 2003 17(2017), 3, p 612 (DE-627)331640910 (DE-600)2052857-7 14248220 nnns volume:17 year:2017 number:3, p 612 https://doi.org/10.3390/s17030612 kostenfrei https://doaj.org/article/823b9a9606a94a9aaf3a051107c71ce8 kostenfrei http://www.mdpi.com/1424-8220/17/3/612 kostenfrei https://doaj.org/toc/1424-8220 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2111 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2017 3, p 612
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source	In Sensors 17(2017), 3, p 612 volume:17 year:2017 number:3, p 612
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author	Agnieszka Szczęsna
spellingShingle	Agnieszka Szczęsna misc TP1-1185 misc wearable sensor system misc IMU sensor misc motion capture misc system validation misc orientation estimation misc Chemical technology Inertial Motion Capture Costume Design Study
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topic_title	TP1-1185 Inertial Motion Capture Costume Design Study wearable sensor system IMU sensor motion capture system validation orientation estimation
topic	misc TP1-1185 misc wearable sensor system misc IMU sensor misc motion capture misc system validation misc orientation estimation misc Chemical technology
topic_unstemmed	misc TP1-1185 misc wearable sensor system misc IMU sensor misc motion capture misc system validation misc orientation estimation misc Chemical technology
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title	Inertial Motion Capture Costume Design Study
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title_auth	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	Inertial Motion Capture Costume Design Study
url	https://doi.org/10.3390/s17030612 https://doaj.org/article/823b9a9606a94a9aaf3a051107c71ce8 http://www.mdpi.com/1424-8220/17/3/612 https://doaj.org/toc/1424-8220
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up_date	2024-07-03T22:52:25.450Z
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