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BP: Fachverband Biologische Physik
BP 37: Modelling of non-linear dynamics in biological movement (focus session)
BP 37.2: Vortrag
Mittwoch, 18. März 2015, 15:30–15:45, EW 202
Quantifying control effort with information entropy: a new method applied to complex biological movement — •Daniel Häufle1, Michael Günther1, Günter Wunner2, and Syn Schmitt1,3 — 1Human Movement Simulation Lab, Universität Stuttgart — 2Institut für Theoretische Physik 1, Universität Stuttgart — 3Stuttgart Research Centre for Simulation Technology, Universität Stuttgart
Recently, a new measure has been proposed to quantify control effort of biological and technical movement. This measure was developed to enable a quantitative evaluation of a long standing hypothesis stating that the physical structure of humans and animals allow movement generation with less control effort. In particular, it has been hypothesized that muscles with their nonlinear contraction properties reduce control effort. This new measure is based on Information Entropy and reveals that the control effort for the simple movement task of periodic hopping is only I=32bit when generated with a muscle vs. I=660bit with a DC-motor. To further investigate this hypothesis, this approach has now been applied to human walking in comparison to robotic walking. Additionally, we will show that this measure can also be applied to microscopic active brownian motion swimmers of different shape to emphasize the wide application of our approach.