Hello,<br><br>For the past few years I&#39;ve been working on the AME
Patterns library - a generic library for modeling, recognition and
synthesis of sequential patterns.  So far it&#39;s been applied mostly to
gesture recognition (e.g., recognition of mouse gestures, full body
gestures from video or motion capture data, accelerometer gestures),
but recently it has also shown some good results on speech datasets. 
It can also be used to synthesize the same kinds of patterns it can
recognize (e.g., you could use it to synthesize a gesture or speech, or
purely numerical patterns).  The library provides support for hidden
Markov models and other related models.  The design is concept-based,
and the library uses the Boost Graph Library, Boost.Range (including
the RangeEx extension), Boost.Fusion, Boost.Math, Boost.Random, and
other boost libraries.<br>
<br>The documentation for the library is available here:<br><a href="http://ame4.hc.asu.edu/amelia/patterns/" target="_blank">http://ame4.hc.asu.edu/amelia/patterns/</a><br><br>However,
the documentation is lacking, so I&#39;m curious to know which parts of the
functionality (if any) are of interest to the boost community, so I
know what parts of the documentation to focus on.  I am also
considering proposing a presentation of this library to BoostCon.<br>
<br>The library is currently released under the GPL, which I realize is not acceptable to some.<br><br>Please
let me know your thoughts.  If anyone is interested in using this
library, please let me know what you&#39;d like to use it for and I&#39;d be
happy to help you get started.<br>
<br>Kind regards,<br><font color="#888888"><br>Stjepan<br></font>