philhartung

const dgram = require('dgram');
const client = dgram.createSocket({ type: 'udp4', reuseAddr: true });
const sdp = require('./sdp');

//config
const addr = '10.10.1.100';
const danteMulticast = '239.255.220.221';
const aes67Multicast = '239.69.1.122';
const samplerate = 48000;
const channels = 2;

irealva

// poseVector1 and poseVector2 are 52-float vectors composed of:
// Values 0-33: are x,y coordinates for 17 body parts in alphabetical order
// Values 34-51: are confidence values for each of the 17 body parts in alphabetical order
// Value 51: A sum of all the confidence values
// Again the lower the number, the closer the distance

function weightedDistanceMatching(poseVector1, poseVector2) {
  let vector1PoseXY = poseVector1.slice(0, 34);
  let vector1Confidences = poseVector1.slice(34, 51);
  let vector1ConfidenceSum = poseVector1.slice(51, 52);

atduskgreg

import processing.opengl.*;
import unlekker.util.*;
import unlekker.modelbuilder.*;
import SimpleOpenNI.*;
SimpleOpenNI kinect;

boolean scanning = false;
boolean scanned = false;

int maxZ = 2000;