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VR Gesture Detection System for Unity | Real-Time Gesture Recognition for VR/AR Apps.

VR Gesture Detection is a package that provides real-time gesture recognition for virtual and augmented reality.Ensure these are installed and up to date:Unity Barracuda: For running the machine learning models used in gesture detection.OpenXR: For accessing VR headset and controller input data, ensuring compatibility with a wide range of VR devices.VR Gesture Detection is a cutting-edge Unity asset that seamlessly integrates with Unity's XR and Meta's OVR frameworks. This system leverages AI-driven machine learning models for robust, real-time gesture recognition, making it ideal for creating immersive and intuitive VR/AR experiences. Whether you're developing sports simulations, combat scenarios, or interactive training modules, this package offers unmatched accuracy and customization. The package includes extensive documentation, example scenes, and easy setup tools to help you implement and adapt the system to your specific needs.Gesture LibraryOur extensive gesture library includes, but is not limited to:Combat moves: uppercuts, punches, dodgesSports actions: bowling, frisbee throws, paddlingHand signals: claps, waves, timeoutsBody movements: running, swimming, duckingUse CasesSports simulation: Enhance realism in VR sports gamesCombat games: Create immersive fighting experiencesTraining applications: Develop interactive learning environmentsCreative tools: Enable intuitive controls for VR art and design appsWhy Choose VR Gesture Detection?Cutting-edge AI technologyExtensive gesture libraryHigh performance and low latencyEasy integration and customizationRegular updates and supportTransform your VR/AR applications with VR Gesture Detection - where every movement matters!DocumentationFor detailed setup instructions, API references, and best practices, visit our comprehensive documentation.push two handsupper cut right handupper cut left handupper cut two handsclappull down right handpull down left handpull down two handstimeout two handscross armsuncross armsright hand circleleft hand circleright hand swipe acrossleft hand swipe acrossright hand throw overhandleft hand throw overhandarms pound centerhands draw heartyin yangjazz handsorb hands rotatewindmill armsjump rope circleshand circles downright side two hand scoopleft side two hand scoopsuper punch rightsuper punch leftdodge leftdodge rightduckextended arm circlesclap above headclap below waistclap behind backclap right sideclap left sidehands open skywardhands open groundwardhands open right sidehands open left sidereverse yin yanghands draw trianglehands draw squaretwo hand throw overhandspriral hands upwardspriral hands downwardtwo hands push upwardtwo hands push downwardpaddleboard stroke rightpaddleboard stroke leftdraw bow rightdraw bow leftwaving right handwaving left handreeling in right handreeling in left handthrow fishing line rightthrow fishing line leftfishing line precast rightfishing line precast leftpaddleboard reverse stroke rightpaddleboard reverse stroke leftbowling rightbowling leftbowling two handsfrisbee throw rightfrisbee throw leftfrisbee throw two handsrunningbreast strokeunderwater swimWith more gestures being added all the time!Technical SpecificationsUtilizes Barracuda neural network for efficient ML model executionLightweight and optimized for VR/AR performanceCompatible with major VR/AR platformsRegular updates with new gestures and optimizationsReal-time gesture detection using machine learning modelsSeamless integration with Unity's XR frameworkSeamless integration with Meta's OVR frameworkSeamless integration with VRIFDetailed documentation for easy setup and usageExample scenes demonstrating core functionalitySupports head and hand trackingConverts gestures into encoded images for detectionEasy configuration through Unity InspectorWorks great in Mixed RealityThe VR Gesture Recognition package leverages AI/ML techniques for accurate real-time gesture detection. By using machine learning models trained on various XR/VR gestures, the system converts user movements into encoded images that are analyzed to identify specific gestures. This AI-driven approach ensures high precision and responsiveness, enhancing the user experience in VR applications. The Barracuda neural network library is utilized to run the trained models efficiently within Unity, providing seamless integration and robust performance.