BIO Web of Conferences 1
, 00055 (2011)
Can Principal Component Analysis be Applied in Real Time to Reduce the Dimension of Human Motion Signals?
Vittorio Lippi* and Giacomo Ceccarelli†
PERCRO Scuola Superiore Sant’Anna, Italy
Università di Pisa, Italy
E-mail: email@example.com, firstname.lastname@example.org
Principal Component Analysis (PCA) is a usual method in multivariate analysis to reduce data dimensionality. PCA relies on the deﬁnition of a linear transformation of the data through an orthonormal matrix that is computed on the basis of the dataset itself. In this work we discuss the application of PCA on a set of human motion data and the cross validation of the result. The cross validation procedure simulates the application of the transformation on real time data. The PCA proved to be suitable to analyze data in real time and showed some interesting behavior on the data used as cross validation.
© Owned by the authors, published by EDP Sciences,
The OpenURL standard is a protocol for transmission of metadata
describing the resource that you wish to access.
An OpenURL link contains article metadata and directs it to the
OpenURL server of your choice. The OpenURL server can provide access
to the resource and also offer complementary services (specific
search engine, export of references...). The OpenURL link can be
generated by different means.
If your librarian has set up your subscription with an
OpenURL resolver, OpenURL links appear automatically on the
You can define your own OpenURL resolver with your
In this case your choice will be given priority over that of your library.
You can use an add-on for your browser (Firefox or I.E.) to
display OpenURL links on a page (see
You should disable this module if you wish to use the OpenURL
server that you or your library have defined.