Search Results for "kinect gesture recognition"
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Showing 56 open source projects for "kinect gesture recognition"
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Seamless Communication
Foundational Models for State-of-the-Art Speech and Text Translation
Seamless Communication is a research project focused on building more integrated, low-latency multimodal communication between humans and AI agents. The motivation is to move beyond “text in, text out” and enable direct, live, multi-turn exchange involving language, gesture, gaze, vision, and modality switching without user friction. The system architecture includes a real-time multimodal signal pipeline for audio, video, and sensor data, a dialog manager that can decide when to act (speak, gesture, point) or query, and a cross-modal reasoning layer that fuses perception with semantic context. The research prototype includes components for visual grounding (understanding when a user references something in view), gesture recognition and synthesis, and turn-taking mechanisms that mirror human conversational timing. ... -
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OpenCV
Open Source Computer Vision Library
OpenCV (Open Source Computer Vision Library) is a comprehensive open-source library for computer vision, machine learning, and image processing. It enables developers to build real-time vision applications ranging from facial recognition to object tracking. OpenCV supports a wide range of programming languages including C++, Python, and Java, and is optimized for both CPU and GPU operations. -
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Interactive Machine Learning Experiments
Interactive Machine Learning experiments
...The project combines Jupyter or Colab notebooks with browser-based visual demos that allow users to see trained models operating in real time. Many experiments involve tasks such as image classification, object detection, gesture recognition, and simple generative models. The models are typically trained in Python using TensorFlow and then exported for interactive demonstrations in a web environment using JavaScript and TensorFlow.js. Because the project focuses on experimentation rather than production systems, it acts as a sandbox where developers can explore machine learning concepts and observe model behavior. ... -
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MediaPipe
Cross-platform, customizable ML solutions for live and streaming media
...Utilizing lightweight model architectures together with GPU acceleration throughout the pipeline, the solution delivers real-time performance-critical for live experiences. Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control. For example, it can form the basis for yoga, dance, and fitness applications. It can also enable the overlay of digital content and information on top of the physical world in augmented reality. -
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MediaPipe Solutions
Cross-platform, customizable ML solutions
...These pipelines can run on a wide variety of platforms including mobile devices, desktop systems, web browsers, and embedded edge devices. MediaPipe is widely used in computer vision and multimedia applications such as hand tracking, face detection, pose estimation, object recognition, and gesture analysis. The framework includes prebuilt solutions that developers can quickly integrate into applications as well as lower-level APIs that allow custom pipeline construction. -
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MacGesture
Global mouse gestures for macOS
MacGesture is a macOS tool that allows users to perform system-wide mouse gestures to control their Mac. It enhances user productivity by enabling gesture-based shortcuts and commands. -
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Yoha
A practical hand tracking engine
Yoha is a browser-based hand tracking engine designed to enable real-time gesture recognition and interaction using standard webcams, making it accessible for web applications without specialized hardware. Built using JavaScript and TensorFlow.js, it runs directly in the browser and performs inference on-device, eliminating the need for server-side processing. The engine is capable of detecting 21 two-dimensional hand landmarks, allowing developers to build applications that respond to gestures such as pinching or forming a fist. ... -
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NTU RGB-D
Info and sample codes for "NTU RGB+D Action Recognition Dataset"
The “NTU RGB+D” repository provides access to a large-scale dataset for human action recognition (and its extension, NTU RGB+D 120). The dataset includes multiple modalities (RGB video, depth sequences, infrared video, 3D skeletal joint data) captured with multiple Kinect v2 cameras simultaneously. The repository also contains MATLAB / Python demo scripts for loading, visualizing, and processing skeleton data, mapping between modalities, and handling dataset structure. ... -
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mid-air gesture framework
user-centered and extensible framework
Mid air gestures are generally considered the interface of the future in a wide number of application fields and for virtual and augmented reality applications. However, designing effective interfaces with mid-air gestures, is not an easy task because it is application dependent and must fulfill many requirements at the same time. Despite the availability of general design guidelines in the literature, clear and well-established procedures for the optimal design of mid-air gesture-based... -
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PolyRec
Unistroke gesture recognizer
...This implementation is a prototype developed for scientific purposes. More technical details on PolyRec can be found in the following scientific paper: V Fuccella, G. Costagliola; Unistroke Gesture Recognition Through Polyline Approximation and Alignment; in Proceedings of CHI 2015; pp. 3351-3354 http://dl.acm.org/citation.cfm?id=2702 -
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Jinect
Sceleton tracking and gesture recognition
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Disertatie
3D Object Recognition using Kinect
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WiiGesture for Fex/AIR
Allows inclusion of Gesture Interaction via WiiMote in Web-Apps
...We used it to identify intuitive gestures from users for certain commands. The entire work was part of my diploma thesis I wrote in 2008 at Fraunhofer IGD. The gesture recognition API was included in a number of example scenarios. -
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1¢ Recognizer
A simple, efficient, and accurate gesture recognizer
The One Cent Recognizer is an easy-to-implement, efficient, and accurate handwritten gesture recognizer. If you would like to cite One Cent in a publication please use: J. Herold and T.F. Stahovich: The 1¢ Recognizer: A Fast, Accurate, and Eas y-to-Implement Handwritten Gesture Recognition Technique. In Proceedings of the 9th Eurographics workshop on Sketch-based interfaces and modeling (New York, NY, USA, 2012), SBIM '12, ACM -
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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. -
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Personalized Search Engine
Personalized Search Engine for Your Files
MySearchEngine (Personalized Search Engine) is a Java software to search files and folders in an OS file system. It differs from general OS file search engines in that it personalizes the indexing setup so that users can choose which directories to index or remove from an existing index and it can also suggest queries just like Google's "Did you mean" feature. The customization of indexing and query suggestion greatly improves search speed and make user experience more comfortable. eLibrary... -
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eLibrary
Personalized Search Engine for Commonly Used Files
eLibrary (electric library) is a Java software to search files and folders in an OS file system. It differs from general OS file search engines in that it personalizes the indexing setup so that users can choose which directories to index or remove from an existing index and it can also suggest queries just like Google's "Did you mean" feature. The customization of indexing and query suggestion greatly improves search speed and make user experience more comfortable. eLibrary can also extract... -
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kisrecord
A capturing tool for speech data as input for SRS acoustic models
This project follows the target for capturing recordings in combination with the written representation. For the recordings microphones of the kinect are used. The audio files and connected spoken text enable the training of acoustic models for speech recognition. The background is to realize crowd guided open source acoustic models for speech recognition projects like sphinx. -
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Gestouch
Gestouch: multitouch gesture recognition library for Flash
Gestouch is an ActionScript 3 library designed to enhance gesture handling in Flash/AIR projects, offering customizable recognition of single- and multi-touch gestures along with conflict management—going beyond the limited default Flash gesture support. Pretty neat architecture. Very similar to Apple’s UIGestureRecognizers (Cocoa-Touch UIKit). Works with any display list hierarchy structures: native DisplayList (pure AS3/Flex/your UI framework), Starling or ND2D (Stage3D) and 3D libs. ... -
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G.A.S.I.
Webcam Gesture and Voice Recognition OS proof of concept
Inspired by interfaces from sci-fi movies like Iron Man, Gesture Analytical Sonic Interface (GASI) is a proof of concept of a Webcam gesture (Kinect like) and Voice recognition based computer interface, constraining itself to only components included in average laptops (A simple webcam and microphone, no Kinect) -
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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. ... -
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GestureDetect
Gesture detection with Kinect+OpenNI+Unity3D
This project is aiming at detecting gestures(like wave,swipe) and training user-defined gesture templates. Since people do the the same gesture in different ways, before you try a gesture template trained by others, you may need to "play" the skeleton file first to see how the gesture was recorded. Or you may train your own gesture templates directly. See the usage for details. The function is provided in a package for Unity3D. -
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The Microsoft Kinect is known to be an affordable commercial sensor. As an introduction to computer vision, we developed a small program to show how it can be used in machine learning, more specifically in the field of object recognition using support vector machines (SVM). Demo: http://www.youtube.com/watch?v=DDdShv1pQTg
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easystroke is a gesture-recognition application for X11. It aims to be highly configurable while at the same time providing an intuitive user interface. It was designed primarily for use on a Tablet PC, but it also works well with a mouse.
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Cities on Map - Kinect
You can place French cities thanks to gestures and voice recognition
With different gestures, you can place French cities on the map. Moreover, instead of using gestures, you can use voice recognition to place them. When this operation is over, use your voice to correct or reset the application. Why those cities have been chosen? These cities are a common point, Students in IT, can study in MIAGE section. Source code is available in this project.
