NI mate Documentation (last update 21.2.2012) | NI Mate General Delicode NI mate is a program that uses OpenNI standard compliant devices such as the Microsoft Kinect, the ASUS Xtion and the PrimeSense Carmine to track body movement, converting this motion data into standard OSC or MIDI messages that can be received in any client program. Installation On Windows If you have previously installed SensorKinect, OpenNI or NITE, it's strongly recommended that you either uninstall all of them or update them to the latest versions before installing Delicode NI mate. If you have any other device drivers (like the Kinect for Windows SDK) installed other than SensorKinect you must uninstall these before installing Delicode NI mate. On Windows Vista and Windows 7 it doesn't matter if your sensor device is connected or not during the install. In order to use the non-OpenNI2 version of NI mate on Windows 8 please follow the instructions for Windows 8 below. Installation options: Windows 8 (non-OpenNI2 version of NI mate) Windows XP On OS X On Ubuntu 12.04 Either or
Codes - GENERATIVE GESTALTUNG 2016-03-15RT @bndktgrs: 幸せなコーディング! Launched: Our #GenerativeDesign book has also a 🇯🇵 website now!👍 [Link] Cheers @BugNews! SYNAPSE for Kinect - Synapse for Kinect Animata Kinect Multiarray Microphone The new Xbox 360 peripheral has a multiarray microphone that is capable of separate the voices that there are in front of the device from the others sounds of the enviroment to chat and use voice commands. Here you will learn how is done this difficult task. A multiarray microphone is a lot of microphones that there are each one at the side of the other around a surface, recording all of them, the sound that arrive from all directions. In the case of Kinect we have, 4 microphones in a line, three of them in the left side and another in the right, all of them placed below of the devic As is logic, if we put microphones in different places, the sound will arrive to them in different instants, in that way, we can calculate from where comes the source of sound if we take in to account the difference between the signals that get the microphones and the speed of the sound in the air.
Joaquim Rocha's Web Page Introducing OpenNI Main Page Antonis Argyros, Tracking the Articulated Motion of Two Strongly Interacting Hands Brief description We propose a method that relies on markerless visual observations to track the full articulation of two hands that interact with each-other in a complex, unconstrained manner. We formulate this as an optimization problem whose 54-dimensional parameter space represents all possible configurations of two hands, each represented as a kinematic structure with 26 Degrees of Freedom (DoFs). To solve this problem, we employ Particle Swarm Optimization (PSO), an evolutionary, stochastic optimization method with the objective of finding the two-hands configuration that best explains the RGB-D observations provided by a Kinect sensor. To the best of our knowledge, the proposed method is the first to attempt and achieve the articulated motion tracking of two strongly interacting hands. From a methodological point of view, the proposed approach combines the merits of two recently proposed methods for tracking hand articulations. Graphical illustration of the proposed method. · I.