Visual Exploration of Human Motion Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00128918" target="_blank" >RIV/00216224:14330/22:00128918 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-17849-8_6" target="_blank" >http://dx.doi.org/10.1007/978-3-031-17849-8_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-17849-8_6" target="_blank" >10.1007/978-3-031-17849-8_6</a>
Alternative languages
Result language
angličtina
Original language name
Visual Exploration of Human Motion Data
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
15th International Conference on Similarity Search and Applications (SISAP 2022)
ISBN
9783031178481
ISSN
0302-9743
e-ISSN
—
Number of pages
8
Pages from-to
64-71
Publisher name
Springer, Cham
Place of publication
Neuveden
Event location
Bologna, Italy
Event date
Oct 5, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000874756300006