If you are using this Kinect object from this library:
/**
* Open Kinect for Processing
* A Mac OS X Kinect implementation using open source drivers (libfreenect).
* https://github.com/shiffman/OpenKinect-for-Processing
*
* Copyright 2015 Daniel Shiffman
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Public
* License as published by the Free Software Foundation; either
* version 2.1 of the License, or (at your option) any later version.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General
* Public License along with this library; if not, write to the
* Free Software Foundation, Inc., 59 Temple Place, Suite 330,
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…then, browsing through the library source, it doesn’t appear to have any such advanced functions – just ways of accessing the underlying freenect object contained inside the Kinect object. I believe that the main way to get such things is to create a point cloud, then derive your data from that cloud.
Or, get a skeleton from SimpleOpenNI and calculate your derived statistics from the skeleton data.
Previous discussions:
Previous discussions:
…and for a different option see also the RealSense hardware / library:
Maybe someone is interested in the news that I have implemented a basic version of an Intel RealSense library for processing. The library basically is a JNI wrapper around the librealsense2 framework.
edwinRNDR and I started developing a Java wrapper for the librealsense and I found the time now to add the support to processing.
Currently out of the box supported are all major os with x64 (no ARM / x86). I have included the prebuilt binaries to make it very easy to start with the RealSense cam…