BIO Web of Conferences 1
, 00057 (2011)
Filtering Motion Data Through Piecewise Polynomial Approximation
Vittorio Lippi*, Carlo Alberto Avizzano* and Emanuele Ruffaldi*
PERCRO, Scuola Superiore Sant'Anna, Italy
E-mail: firstname.lastname@example.org, email@example.com, firstname.lastname@example.org
In this work we propose a system to ﬁlter human movement data and store them into a compact representation. We are interested both in noise reduction and in segmentation. The method described in this paper relies on a iterative optimization and guarantee to converge to a local optimum: it proved anyway to produce stable results and to provide an accurate segmentation on the analyzed data . We analyze the Three ball cascade Juggling as case study: This provides us the challenge to represent both low-pass dynamics of human limbs and juggled balls and the discontinuities produced by contact forces.
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