Visual Exploration of Human Motion Data

D 2022

Visual Exploration of Human Motion Data

BUDÍKOVÁ, Petra, Daniel KLEPÁČ, Dávid RUSNÁK and Milan SLOVÁK

Basic information

Original name

Visual Exploration of Human Motion Data

Authors

BUDÍKOVÁ, Petra (203 Czech Republic, guarantor, belonging to the institution), Daniel KLEPÁČ (203 Czech Republic, belonging to the institution), Dávid RUSNÁK (703 Slovakia, belonging to the institution) and Milan SLOVÁK (203 Czech Republic, belonging to the institution)

Edition

Neuveden, 15th International Conference on Similarity Search and Applications (SISAP 2022), p. 64-71, 8 pp. 2022

Publisher

Springer, Cham

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10200 1.2 Computer and information sciences

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14330/22:00128918

Organization unit

Faculty of Informatics

ISBN

978-3-031-17848-1

ISSN

DOI

http://dx.doi.org/10.1007/978-3-031-17849-8_6

UT WoS

000874756300006

Keywords in English

Human motion data; Skeleton sequences; Visualization; Multimedia exploration; Explainability of similarity

Abstract

V originále

Human motion data are beginning to appear in many application domains, which brings a need to develop user-friendly motion processing applications. One of important open challenges is the presentation of high-dimensional spatio-temporal motion data to end users in a way that is easy to understand and allows fast browsing and exploration of the motion datasets. For many applications such as computer-assisted rehabilitation or motion learning, it is also very desirable to visualize the differences between two motion sequences. In this paper, we present a publicly available software tool that provides the visualization functionality for individual motion sequences, comparison of two motions, and exploration of large motion datasets.

Citovat

BUDÍKOVÁ, Petra, Daniel KLEPÁČ, Dávid RUSNÁK and Milan SLOVÁK. Visual Exploration of Human Motion Data. Online. In Skopal, T., Falchi, F., Lokoč, J., Sapino, M.L., Bartolini, I., Patella, M. 15th International Conference on Similarity Search and Applications (SISAP 2022). Neuveden: Springer, Cham, 2022, p. 64-71. ISBN 978-3-031-17848-1. Available from: https://dx.doi.org/10.1007/978-3-031-17849-8_6.

@inproceedings{2269086,
   author = {Budíková, Petra and Klepáč, Daniel and Rusnák, Dávid and Slovák, Milan},
   address = {Neuveden},
   booktitle = {15th International Conference on Similarity Search and Applications (SISAP 2022)},
   doi = {http://dx.doi.org/10.1007/978-3-031-17849-8_6},
   editor = {Skopal, T., Falchi, F., Lokoč, J., Sapino, M.L., Bartolini, I., Patella, M.},
   keywords = {Human motion data; Skeleton sequences; Visualization; Multimedia exploration; Explainability of similarity},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Neuveden},
   isbn = {978-3-031-17848-1},
   pages = {64-71},
   publisher = {Springer, Cham},
   title = {Visual Exploration of Human Motion Data},
   url = {https://link.springer.com/book/10.1007/978-3-031-17849-8},
   year = {2022}
}

TY  - JOUR
ID  - 2269086
AU  - Budíková, Petra - Klepáč, Daniel - Rusnák, Dávid - Slovák, Milan
PY  - 2022
TI  - Visual Exploration of Human Motion Data
PB  - Springer, Cham
CY  - Neuveden
SN  - 9783031178481
KW  - Human motion data
KW  - Skeleton sequences
KW  - Visualization
KW  - Multimedia exploration
KW  - Explainability of similarity
UR  - https://link.springer.com/book/10.1007/978-3-031-17849-8
N2  - Human motion data are beginning to appear in many application domains, which brings a need to develop user-friendly motion processing applications. One of important open challenges is the presentation of high-dimensional spatio-temporal motion data to end users in a way that is easy to understand and allows fast browsing and exploration of the motion datasets. For many applications such as computer-assisted rehabilitation or motion learning, it is also very desirable to visualize the differences between two motion sequences. In this paper, we present a publicly available software tool that provides the visualization functionality for individual motion sequences, comparison of two motions, and exploration of large motion datasets.
ER  -

BUDÍKOVÁ, Petra, Daniel KLEPÁČ, Dávid RUSNÁK and Milan SLOVÁK. Visual Exploration of Human Motion Data. Online. In Skopal, T., Falchi, F., Lokoč, J., Sapino, M.L., Bartolini, I., Patella, M. \textit{15th International Conference on Similarity Search and Applications (SISAP 2022)}. Neuveden: Springer, Cham, 2022, p.~64-71. ISBN~978-3-031-17848-1. Available from: https://dx.doi.org/10.1007/978-3-031-17849-8\_{}6.

Detailed Information on Publication Record