Inertial Motion Capture Costume Design Study

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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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Vol. 17; no. 3; p. 612
Main Authors: Szczęsna, Agnieszka, Skurowski, Przemysław, Lach, Ewa, Pruszowski, Przemysław, Pęszor, Damian, Paszkuta, Marcin, Słupik, Janusz, Lebek, Kamil, Janiak, Mateusz, Polański, Andrzej, Wojciechowski, Konrad
Format: Journal Article
Language:English
Published: Switzerland MDPI AG 17-03-2017
MDPI
Subjects:
Accelerometers
Algorithms
Architecture
Calibration
Computers
Data processing
Humans
IMU sensor
Modular systems
Motion
Motion capture
Orientation
orientation estimation
Scientific visualization
Sensors
system validation
Systems design
wearable sensor system
orientation estimation
system validation
IMU sensor
motion capture
wearable sensor system
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Summary: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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ISSN:1424-8220
1424-8220
DOI:10.3390/s17030612