Showing 3 open source projects for "elliptical-controller"

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  • 1
    FUBI

    FUBI

    Full Body Interaction Framework

    FUBI is a framework for full body interaction using a depth sensor such as the Microsoft Kinect with OpenNI/NiTE or the Kinect SDK. It further supports the Leap Motion Controller. FUBI is written in C++ and includes a C#-Wrapper. Releases are tested on Windows 8.1, but there also exist Linux Code::Blocks project files. Fubi's main functionality is gesture and posture recognition according to four gesture categories: 1. Static postures: Configuration of several joints (positions or orientations). 2. ...
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  • 2

    Multi Modal AirRobot

    Multi Modal Controller for AirRobot in USARSim

    Welcome to Multimodal AirRobot Controller (MMAR) This project intends to develop a multimodal interface which gives a human operator capability of controlling QuadRotors efficiently and more easily. During this project we use simulated quadrotor called AirRobot in a simulation environment for development of robots, USARSim. There are some aspects involved in this project including touch, pose tracking, gesture recognition, voice recognition, etc and we try to utilize capabilities of devices available today such as some pose measurement tools like Android Devices (with accelerometer, compass, etc), some gesture recognizer like whether simple cameras or some other tools for instance Microsoft Kinect (with gesture and voice recognition), a Windows PC (As a Server for our application), another Windows PC (As a server to USARSim)
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  • 3

    MMUAVC

    A Multimodal approach to control a Unmanned Aerial Vehicle

    Welcome to Multimodal Unmanned Aerial Vehicle Controller (MMAR) This project intends to develop a multimodal interface which gives a human operator capability of controlling a QuadRotor UAV efficiently and more easily. During this project we use a simulated QuadRotor called AirRobot in a simulation environment for development of robots, USARSim. There are some aspects involved in this project including touch, pose tracking, gesture recognition, voice recognition, etc and we try to utilize capabilities of some devices available today such as Android Phones and Microsoft Kinect. ...
    Downloads: 0 This Week
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