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By Nate Peel The Xbox Kinect is an exciting new way to interact with not only your Xbox 360, but your computer. In this segment Nate will show you how to use Ruby to interact with a Kinect, and gather skeleton sequences for an animation that can be imported into a 3d program for use in a game or movie. Help us caption & translate this video! http://amara.org/v/GJEu/
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In this video titled "Using Ruby with Xbox Kinect for Fun and Profit," Nate Peel discusses the integration of Ruby programming with the Xbox Kinect device. The session, presented at MountainWest RubyConf 2011, showcases the potential of using Kinect technology for interactive applications and game development. Nate begins by introducing the Kinect, noting its massive commercial success as a motion-sensing device that allows users to control games using body movements, eliminating the need for traditional controllers. He explains the technical components of the Kinect, including its infrared and RGB cameras that work in conjunction to capture depth and visuals. Nate highlights the importance of the driver developed for Kinect that enables its interaction with computer applications. He references tools such as 'GLview' for visualizing depth data and settings within the Kinect. Moving deeper into programming, he explains his creation of a Ruby wrapper for the Kinect, which simplifies the retrieval of depth and image data in Ruby applications. Key points include: - **Overview of Kinect Technology**: The Kinect comprises dual cameras and an infrared laser projector for depth sensing. - **Driver Development**: The OpenNI driver allows natural interaction with Kinect data through computer applications. - **Ruby Library Creation**: Nate developed a Ruby library that captures skeletal data and gestures, making it easier for developers to integrate Kinect capabilities. - **Real-time Visualization**: He demonstrates how skeletal data can be visualized in real-time through a processing sketch, showcasing user movements captured by Kinect. - **Challenges with Ambient Light**: Nate discusses the effects of environmental conditions on motion capture accuracy. - **Code Breakdown**: Throughout the presentation, he explains the structure and functionality of the code used to process skeleton joint data. - **Collaboration Encouragement**: He invites developers familiar with C++ or Ruby to join in enhancing the library, emphasizing communal growth in software development. In conclusion, this session illustrates how Ruby can effectively leverage Kinect's motion detection and visualization capabilities, offering exciting opportunities for developers interested in interactive projects and real-time data processing.
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