On the feasible regions delimiting natural human postures in a novel skeletal representation

• Autorzy: Hengeveld, Simon B. , Mucherino, A.
• Konferencja: Federated Conference on Computer Science and Information Systems (17 ; 04-07.09.2022 ; Sofia, Bulgaria)
• Języki publikacji: EN

Abstrakty

EN

The de facto standard for storing human motion data on a computer involves a representation based on Euler angles. This representation, while effective, has several short- comings. Triplets of Euler angles are not unique, and the same posture may be expressed using different combinations of angles. Furthermore, many possible Euler angle triplets correspond to unnatural positions for human joints. This means that, in general, a large part of the representational space remains unused. In this paper, we investigate a recently proposed representation inspired by molecular representations. It uses only two (instead of three) degrees of freedom per joint: a vector and a torsion angle. Using the two key ingredients of this new representation, we present a complete analysis of the Graphics Lab Motion Capture Database. The data found in this analysis provide us with some powerful insights about natural and unnatural human postures in human motions. These insights can potentially lead to possible constraints on human motions which may be used to more effectively solve open problems in the computer graphics community, most notably the problem of (human) motion adaptation.

Słowa kluczowe

PL

geometria; informatyka; baza danych; morfologia; grafika komputerowa; przechwytywanie ruchu; standard

EN

geometry; computer science; database; morphology; computer graphics; motion capture; standard

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2022
• Tom: Vol. 30
• Strony: 175--179
• Opis fizyczny: Bibliogr. 11 poz., wz., il.

Twórcy

autor

Hengeveld, Simon B.

• IRISA, University of Rennes 1, Rennes, France,

autor

Mucherino, A.

• IRISA, University of Rennes 1, Rennes, France,

Bibliografia

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Uwagi

1. This work is partially supported by the international project MULTIBIOSTRUCT funded by the ANR French funding agency (ANR-19-CE45-0019).

2. Short article

3. Track 3: 4th International Workshop on Artificial Intelligence in Machine Vision and Graphics

4. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).

Identyfikatory

DOI

10.15439/2022F11