Reference data set for accuracy evaluation of orientation estimation algorithms for inertial motion capture systems

Agnieszka Szczęsna; Przemysław Skurowski; Przemysław Pruszowski; Damian Pęszor; Marcin Paszkuta; Konrad Wojciechowski

doi:10.1007/978-3-319-46418-3_45

Reference data set for accuracy evaluation of orientation estimation algorithms for inertial motion capture systems

Agnieszka Szczęsna
, Przemysław Skurowski
, Przemysław Pruszowski
, Damian Pęszor
, Marcin Paszkuta
, Konrad Wojciechowski

Department of Graphics, Computer Vision and Digital Systems (RAU/RAU6)

Silesian University of Technology
Polish-Japanese Academy of Information Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Citations (Scopus)

Abstract

In this paper, we describe the freely available repository, RepoIMU, proposed for the needs of orientation estimation algorithm evaluation for inertial motion capture systems. Such algorithms fuse data from IMU sensors - accelerometer, magnetometer and gyroscope. Although such systems gain in popularity, the evaluation of methods used in their development is still not well covered in literature. In presented repository, unlike many others, signals from IMU sensors combined into easily interpretable kinematic chain are synchronized, and not only cropped to, reference orientation obtained from accurate optical motion capture system.

Original language	English
Title of host publication	Computer Vision and Graphics - International Conference, ICCVG 2016, Proceedings
Editors	Amitava Datta, Konrad Wojciechowski, Leszek J. Chmielewski, Ryszard Kozera
Publisher	Springer Verlag
Pages	509-520
Number of pages	12
ISBN (Print)	9783319464176
DOIs	https://doi.org/10.1007/978-3-319-46418-3_45
Publication status	Published - 2016
Event	International Conference on Computer Vision and Graphics, ICCVG 2016 - Warsaw, Poland Duration: 19 Sept 2016 → 21 Sept 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9972 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Computer Vision and Graphics, ICCVG 2016
Country/Territory	Poland
City	Warsaw
Period	19/09/16 → 21/09/16

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-46418-3_45

Cite this

Szczęsna, A., Skurowski, P., Pruszowski, P., Pęszor, D., Paszkuta, M., & Wojciechowski, K. (2016). Reference data set for accuracy evaluation of orientation estimation algorithms for inertial motion capture systems. In A. Datta, K. Wojciechowski, L. J. Chmielewski, & R. Kozera (Eds.), Computer Vision and Graphics - International Conference, ICCVG 2016, Proceedings (pp. 509-520). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9972 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46418-3_45

Szczęsna, Agnieszka ; Skurowski, Przemysław ; Pruszowski, Przemysław et al. / Reference data set for accuracy evaluation of orientation estimation algorithms for inertial motion capture systems. Computer Vision and Graphics - International Conference, ICCVG 2016, Proceedings. editor / Amitava Datta ; Konrad Wojciechowski ; Leszek J. Chmielewski ; Ryszard Kozera. Springer Verlag, 2016. pp. 509-520 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{b096476e90694e9ba03843ac3d618259,

title = "Reference data set for accuracy evaluation of orientation estimation algorithms for inertial motion capture systems",

abstract = "In this paper, we describe the freely available repository, RepoIMU, proposed for the needs of orientation estimation algorithm evaluation for inertial motion capture systems. Such algorithms fuse data from IMU sensors - accelerometer, magnetometer and gyroscope. Although such systems gain in popularity, the evaluation of methods used in their development is still not well covered in literature. In presented repository, unlike many others, signals from IMU sensors combined into easily interpretable kinematic chain are synchronized, and not only cropped to, reference orientation obtained from accurate optical motion capture system.",

author = "Agnieszka Szcz{\c e}sna and Przemys{\l}aw Skurowski and Przemys{\l}aw Pruszowski and Damian P{\c e}szor and Marcin Paszkuta and Konrad Wojciechowski",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; International Conference on Computer Vision and Graphics, ICCVG 2016 ; Conference date: 19-09-2016 Through 21-09-2016",

year = "2016",

doi = "10.1007/978-3-319-46418-3\_45",

language = "English",

isbn = "9783319464176",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "509--520",

editor = "Amitava Datta and Konrad Wojciechowski and Chmielewski, \{Leszek J.\} and Ryszard Kozera",

booktitle = "Computer Vision and Graphics - International Conference, ICCVG 2016, Proceedings",

address = "Germany",

}

Szczęsna, A , Skurowski, P, Pruszowski, P, Pęszor, D , Paszkuta, M & Wojciechowski, K 2016, Reference data set for accuracy evaluation of orientation estimation algorithms for inertial motion capture systems. in A Datta, K Wojciechowski, LJ Chmielewski & R Kozera (eds), Computer Vision and Graphics - International Conference, ICCVG 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9972 LNCS, Springer Verlag, pp. 509-520, International Conference on Computer Vision and Graphics, ICCVG 2016, Warsaw, Poland, 19/09/16. https://doi.org/10.1007/978-3-319-46418-3_45

Reference data set for accuracy evaluation of orientation estimation algorithms for inertial motion capture systems. / Szczęsna, Agnieszka ; Skurowski, Przemysław; Pruszowski, Przemysław et al.
Computer Vision and Graphics - International Conference, ICCVG 2016, Proceedings. ed. / Amitava Datta; Konrad Wojciechowski; Leszek J. Chmielewski; Ryszard Kozera. Springer Verlag, 2016. p. 509-520 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9972 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Reference data set for accuracy evaluation of orientation estimation algorithms for inertial motion capture systems

AU - Szczęsna, Agnieszka

AU - Skurowski, Przemysław

AU - Pruszowski, Przemysław

AU - Pęszor, Damian

AU - Paszkuta, Marcin

AU - Wojciechowski, Konrad

N1 - Publisher Copyright: © Springer International Publishing AG 2016.

PY - 2016

Y1 - 2016

N2 - In this paper, we describe the freely available repository, RepoIMU, proposed for the needs of orientation estimation algorithm evaluation for inertial motion capture systems. Such algorithms fuse data from IMU sensors - accelerometer, magnetometer and gyroscope. Although such systems gain in popularity, the evaluation of methods used in their development is still not well covered in literature. In presented repository, unlike many others, signals from IMU sensors combined into easily interpretable kinematic chain are synchronized, and not only cropped to, reference orientation obtained from accurate optical motion capture system.

AB - In this paper, we describe the freely available repository, RepoIMU, proposed for the needs of orientation estimation algorithm evaluation for inertial motion capture systems. Such algorithms fuse data from IMU sensors - accelerometer, magnetometer and gyroscope. Although such systems gain in popularity, the evaluation of methods used in their development is still not well covered in literature. In presented repository, unlike many others, signals from IMU sensors combined into easily interpretable kinematic chain are synchronized, and not only cropped to, reference orientation obtained from accurate optical motion capture system.

UR - https://www.scopus.com/pages/publications/84989890561

U2 - 10.1007/978-3-319-46418-3_45

DO - 10.1007/978-3-319-46418-3_45

M3 - Conference contribution

AN - SCOPUS:84989890561

SN - 9783319464176

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 509

EP - 520

BT - Computer Vision and Graphics - International Conference, ICCVG 2016, Proceedings

A2 - Datta, Amitava

A2 - Wojciechowski, Konrad

A2 - Chmielewski, Leszek J.

A2 - Kozera, Ryszard

PB - Springer Verlag

T2 - International Conference on Computer Vision and Graphics, ICCVG 2016

Y2 - 19 September 2016 through 21 September 2016

ER -

Szczęsna A , Skurowski P, Pruszowski P, Pęszor D , Paszkuta M, Wojciechowski K. Reference data set for accuracy evaluation of orientation estimation algorithms for inertial motion capture systems. In Datta A, Wojciechowski K, Chmielewski LJ, Kozera R, editors, Computer Vision and Graphics - International Conference, ICCVG 2016, Proceedings. Springer Verlag. 2016. p. 509-520. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-46418-3_45

Reference data set for accuracy evaluation of orientation estimation algorithms for inertial motion capture systems

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this