Next Article in Journal
An EM Induction Hi-Speed Rotation Angular Rate Sensor
Next Article in Special Issue
Accurate Compensation of Attitude Angle Error in a Dual-Axis Rotation Inertial Navigation System
Previous Article in Journal
Study on Climate and Grassland Fire in HulunBuir, Inner Mongolia Autonomous Region, China
Previous Article in Special Issue
MEMS and FOG Technologies for Tactical and Navigation Grade Inertial Sensors—Recent Improvements and Comparison
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(3), 612;

Inertial Motion Capture Costume Design Study

Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
Institute of Mathematics, Silesian University of Technology, Kaszubska 23, 44-100 Gliwice, Poland
Polish-Japanese Academy of Information Technology, Koszykowa 86, 02-008 Warsaw, Poland
Author to whom correspondence should be addressed.
Academic Editor: Jörg F. Wagner
Received: 29 November 2016 / Revised: 9 March 2017 / Accepted: 13 March 2017 / Published: 17 March 2017
(This article belongs to the Special Issue Inertial Sensors and Systems 2016)
PDF [2467 KB, uploaded 21 March 2017]


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. View Full-Text
Keywords: wearable sensor system; IMU sensor; motion capture; system validation; orientation estimation wearable sensor system; IMU sensor; motion capture; system validation; orientation estimation

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Szczęsna, A.; Skurowski, P.; Lach, E.; Pruszowski, P.; Pęszor, D.; Paszkuta, M.; Słupik, J.; Lebek, K.; Janiak, M.; Polański, A.; Wojciechowski, K. Inertial Motion Capture Costume Design Study. Sensors 2017, 17, 612.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top