Trajectory analysis through entropy characterization over coded representation
April 04, 2024 Β· Declared Dead Β· π arXiv.org
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Authors
Roxana PeΓ±a-Mendieta, Ania Mesa-RodrΓguez, Ernesto Estevez-Rams, Daniel Estevez-Moya, Danays Kunka
arXiv ID
2405.03693
Category
physics.data-an
Cross-listed
cs.IT
Citations
0
Venue
arXiv.org
Last Checked
3 months ago
Abstract
Any continuous curve in a higher dimensional space can be considered a trajectory that can be parameterized by a single variable, usually taken as time. It is well known that a continuous curve can have a fractional dimensionality, which can be estimated using already standard algorithms. However, characterizing a trajectory from an entropic perspective is far less developed. The search for such characterization leads us to use chain coding to discretize the description of a curve. Calculating the entropy density and entropy-related magnitudes from the resulting finite alphabet code becomes straightforward. In such a way, the entropy of a trajectory can be defined and used as an effective tool to assert creativity and pattern formation from a Shannon perspective. Applying the procedure to actual experimental physiological data and modelled trajectories of astronomical dynamics proved the robustness of the entropic characterization in a wealth of trajectories of different origins and the insight that can be gained from its use.
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