Search Results for "hand gesture unity"
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Showing 14 open source projects for "hand gesture unity"
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Ultraleap Unity Plugin
Ultraleap SDK for Unity
The Ultraleap Unity Plugin empowers developers to build Unity applications using Ultraleap's hand-tracking technology. It includes various assets, examples, and utilities that make it easy to design and build applications using hand tracking in XR projects. Due to the ever changing landscape of package dependencies in Unity we cannot guarantee compatibility with every plugin or variant of Unity, but aim to provide support for any LTS versions that are under continuous support from Unity. If you... -
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PhotoSwipe
JavaScript framework independent image gallery
PhotoSwipe is the first open-source gallery to support JavaScript-based image zooming. Even if a browser’s native zooming has been disabled, image zooming will still work. The gallery’s background will gradually fade out as the user zooms out. When the gesture is complete, the gallery will close. Gesture is added because close button in top right corner might be hard to reach on tall mobile devices while holding in one hand. Images can be changed even when current slide is zoomed. Swiping... -
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ViRe
A open-source VR mocap studio built in Unity
ViRe is an open-source VR mocap studio built in Unity. ViRe can be used for anyone who wants to record motion, but cannot afford a huge and expensive motion capture studio. All you need is a simple VR Setup. ViRe runs on top of SteamVR, the default asset to support all kinds of VR Headsets. It supports the tracking of the headset and both hand controllers. We are working on support for additional body trackers, and for every place you do not have a tracker, procedural bone movement will help... -
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Mixed Reality Toolkit
Accelerate cross-platform MR app development in Unity
MRTK-Unity is a Microsoft-driven project that provides a set of components and features, used to accelerate cross-platform MR app development in Unity. Provides the cross-platform input system and building blocks for spatial interactions and UI. Enables rapid prototyping via in-editor simulation that allows you to see changes immediately. Operates as an extensible framework that provides developers the ability to swap out core components. With the MRTK Examples Hub, you can try various example... -
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OpenPose
Real-time multi-person keypoint detection library for body, face, etc.
OpenPose has represented the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images. It is authored by Ginés Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Yaadhav Raaj, Hanbyul Joo, and Yaser Sheikh. It is maintained by Ginés Hidalgo and Yaadhav Raaj. OpenPose would not be possible without the CMU Panoptic Studio dataset. We would also like to thank all the people who has helped OpenPose in any way. 15, 18 or 25... -
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Affine Transformation of Virtual Object
Transformation virtual 3D object using a finger gesture-based system
Affine transformation virtual 3D object using a finger gesture-based interactive system in the virtual environment. A convolutional neural network (CNN) based thumb and index fingertip detection system are presented here for seamless interaction with a virtual 3D object in the virtual environment. First, a two-stage CNN is employed to detect the hand and fingertips, and using the information of the fingertip position, the scale, rotation, translation, and in general, the affine transformation... -
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DCVGAN
DCVGAN: Depth Conditional Video Generation, ICIP 2019.
This paper proposes a new GAN architecture for video generation with depth videos and color videos. The proposed model explicitly uses the information of depth in a video sequence as additional information for a GAN-based video generation scheme to make the model understands scene dynamics more accurately. The model uses pairs of color video and depth video for training and generates a video using the two steps. Generate the depth video to model the scene dynamics based on the geometrical... -
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Gesture Recognition To Control TV
Hand Detection and Tracking In JAVACV To Control Television
Gesture Recognition technology has been used extensively in smart tvs and recent personal computer stations too. Gesture recognition involves the identification of human hand and detection of its movement while successfully tracking it over a raster thereby interpreting the gesture into a machine instruction. Gestures recognized will be left or right hand movements, up or down hand movements and open hand for switching the television off remotely. The IR codes from the remote are decoded... -
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This project represents a parallel implementation of a hand gesture recognition algorithm in C# using .Net Framework 4 and AForge .Net Framework. The software can detect 3 hand gestures: Stop, Left, Right. More details can be found in the documentation present in the project.
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Device Motion Gesture for JavaScript
JavaScript library for recording and recognising device gestures.
A JavaScript library for detecting gestures made by the user whilst holding their mobile device. The software converts the continual stream of motion readings into distinct gesture events. All you need to do is attach event-handlers to the gestures. Your functions get called when the user makes the gesture with the device. The library comes with some pre-recorded gestures. You can also record your own custom gestures using the recorder application. NOTE: This library recognises... -
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A photo gallery management system based on hand gesture recognition. You must make three color markers by yourself, which the red one on index of the right hand, the green one on thumb of the right hand and the blue one on index of the left hand.
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This project is to share my work in visual recognition of gestures. It shows how I have implemented person detection, color adaptation and tracking of the user's right-hand, gesture feature extraction, etc. using a single videocamera.
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We'll research on hand gesture(2007.12 ~ 2008.06). Use hand gesture instead of mouse because it's more easy. + It's a Graduate Portfolio of KOREA POLYTECHNIC UNIVERSITY student. +
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