Analysis of juggling data: Registering data to principal components to explain amplitude variation
| Autor: | Dominik Poss, Heiko Wagner |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Statistics and Probability
Continuous registration Dynamic time warping phase variation business.industry Pattern recognition warping function landmark registration Warping function functional principal components analysis Amplitude Variation (linguistics) Principal component analysis Computer vision Artificial intelligence Statistics Probability and Uncertainty business time warping Mathematics |
| Zdroj: | Electron. J. Statist. 8, no. 2 (2014), 1825-1834 |
| ISSN: | 1935-7524 |
| DOI: | 10.1214/14-ejs937b |
| Popis: | The paper considers an analysis of the juggling dataset based on registration. An elementary landmark registration is used to extract the juggling cycles from the data. The resulting cycles are then registered to functional principal components. After the registration step the paper then lays its focus on a functional principal component analysis to explain the amplitude variation of the cycles. More results about the behavior of the juggler’s movements of the hand during the juggling trials are obtained by a further investigation of the principal scores. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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