#################################### ##FILL ME IN #################################### ## for a custom note with links: ## descriptive title for the entry ## title = Hand Detector ## ## multi-line description to be displayed in search ## description = Two programs that give access to the point clouds representing hands, both with and without Skeletal Tracking ## submitter = Garratt Gallagher ## ## keywords = hand detector #################################### <<IncludeCSTemplate(ContestEntryCSHeaderTemplate)>> <<TableOfContents(4)>> == Video == <<Youtube(AVhX2j0Cqho)>> {{{#!wiki Tip '''Looking for Finger Detection?''' This is purely hand detection code - it does not differentiate fingers! For finger differentiation, see the [[openni/Contests/ROS 3D/Finger Detector | finger detection demo]] }}} == How to Reproduce Your Entry == === Physical Setup === For this demo, all you will need is the kinect and some space. === Code to Checkout === 1. First you have to check out and compile the [[mit-ros-pkg]] repository. Please follow the [[mit-ros-pkg/KinectDemos#General_Installation| MIT Kinect Demos General Installation]] instructions. 1. You can then continue on that page to follow the instructions for installing the ''''Hand Detection'''' Demo, which have been copied here for your convenience: {{{ rosmake hand_interaction }}} === Running the Code === With the kinect plugged in: {{{ roslaunch hand_interaction hand_detector.launch }}} To view with rviz, use the configuration: {{{ rosrun rviz rviz -d `rospack find hand_interaction`/config/handdetection.vcg }}} * Note: For more information on different ways to run this code, as well as tips for best performance, see the [[mit-ros-pkg/KinectDemos/HandDetection| Hand Detection Demo]] page. === Dependencies === * ni * pcl * hand_interaction * skeletal_tracker ## AUTO GENERATED DO NOT DELETE ## ContestEntryCategory