Search Results for "gesture"
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Showing 8 open source projects for "gesture"
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iGesture is a Java-based gesture recognition framework providing access to multiple gesture recognition algorithms and different input devices. The iGesture Workbench supports the definition and evaluation of customised gesture sets and algorithms.
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Stylus/Handwriting Input Panel. This is a user-configurable, gesture-aware keyboard/handwriting input panel for text entry on Linux (and other) tablet computers using the X11 system. Needs Ink2Text (<=best) or MSInkServer project for recognition.
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wiigee is a gesture recognition library for accelerometer-enabled devices (e.g. Nintendos Wiimote) written in Java.
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Real-time Head Pose Estimation and Tracking, Eye Gaze Estimation and Gesture Recognition from USB or stereo camera
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quill lets you create gestures for your pen-based application, and helps you make your gestures easy for the computer to recognize. quill includes a Java gesture recognition library to allow your application to recognize gestures.
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Multi Modal AirRobot
Multi Modal Controller for AirRobot in USARSim
...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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MMUAVC
A Multimodal approach to control a Unmanned Aerial Vehicle
...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. Using a windows appliacation called MMUAVC Fusion App, this system gathers all data from sensors and issues control commands for the QuadRotor
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