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

Katedra Grafiki, Wizji Komputerowej i Systemów Cyfrowych (RAU/RAU6)

Silesian University of Technology
Polish-Japanese Academy of Information Technology

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

14 Cytowania z bazy Scopus

Abstrakt

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.

Język oryginału	angielski
Tytuł publikacji goszczącej	Computer Vision and Graphics - International Conference, ICCVG 2016, Proceedings
Redaktorzy	Amitava Datta, Konrad Wojciechowski, Leszek J. Chmielewski, Ryszard Kozera
Wydawca	Springer Verlag
Strony	509-520
Liczba stron	12
ISBN (drukowany)	9783319464176
Identyfikatory DOI	https://doi.org/10.1007/978-3-319-46418-3_45
Status publikacji	Opublikowano - 2016
Wydarzenie	International Conference on Computer Vision and Graphics, ICCVG 2016 - Warsaw, Polska Czas trwania: 19 wrz 2016 → 21 wrz 2016

Seria publikacji

Nazwa	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Tom	9972 LNCS
ISSN (drukowany)	0302-9743
ISSN (elektroniczny)	1611-3349

Konferencja

Konferencja	International Conference on Computer Vision and Graphics, ICCVG 2016
Kraj/Terytorium	Polska
Miejscowość	Warsaw
Okres	19/09/16 → 21/09/16

Obszary tematyczne ASJC Scopus

Informatyka teoretyczna
Informatyka ogólna

Uzyskaj dostęp do dokumentu

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

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

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. W A. Datta, K. Wojciechowski, L. J. Chmielewski, & R. Kozera (Red.), Computer Vision and Graphics - International Conference, ICCVG 2016, Proceedings (str. 509-520). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 9972 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46418-3_45

Szczęsna, Agnieszka ; Skurowski, Przemysław ; Pruszowski, Przemysław i in. / Reference data set for accuracy evaluation of orientation estimation algorithms for inertial motion capture systems. Computer Vision and Graphics - International Conference, ICCVG 2016, Proceedings. redaktor / Amitava Datta ; Konrad Wojciechowski ; Leszek J. Chmielewski ; Ryszard Kozera. Springer Verlag, 2016. str. 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. w A Datta, K Wojciechowski, LJ Chmielewski & R Kozera (red), 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), tom 9972 LNCS, Springer Verlag, str. 509-520, International Conference on Computer Vision and Graphics, ICCVG 2016, Warsaw, Polska, 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 i in.
Computer Vision and Graphics - International Conference, ICCVG 2016, Proceedings. red. / Amitava Datta; Konrad Wojciechowski; Leszek J. Chmielewski; Ryszard Kozera. Springer Verlag, 2016. str. 509-520 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 9972 LNCS).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

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

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. W Datta A, Wojciechowski K, Chmielewski LJ, Kozera R, redaktorzy, Computer Vision and Graphics - International Conference, ICCVG 2016, Proceedings. Springer Verlag. 2016. str. 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

Abstrakt

Seria publikacji

Konferencja

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

Fingerprint

Cytowanie