Bai Jin's starred repositories
MixedRealityToolkit-Unity
This repository is for the legacy Mixed Reality Toolkit (MRTK) v2. For the latest version of the MRTK please visit https://github.com/MixedRealityToolkit/MixedRealityToolkit-Unity
obsidian-slr
This repository hosts an Obsidian vault tailored for conducting a Systematic Literature Review (SLR). This repository is part of the activities for the Systematic Literature Review using AI workshop.
HolographicAcademy
This is the home of all code assets necessary for the Holographic Academy.
obsidian-slr
This repository hosts an Obsidian vault tailored for conducting a Systematic Literature Review (SLR). This repository is part of the activities for the Systematic Literature Review using AI workshop.
HoloLensDrawingWithJoyCon
Drawing tool for Microsoft HoloLens
learn-github
A step-by-step guide to getting started with Git and GitHub for beginners.
AR_HandGestures
Augmented Reality Course that incorporates Hand Gesture Technology using Manomotion SDK
CS4240_VR_Assn2
Creation of first AR app in Unity, which is an AR furniture placement app
ARDevFurnitureApp
Finished AR Furniture Placement Unity project
Awesome-Sketch-Based-Applications
:books: A collection of sketch based application papers.
Drawer-Hololens2-Unity
This repo is a "Drawing" application is working with Microsoft Hololens-2 Mixed Reality glasses, that application developed in Unity UWP.
ar-drawing-java
A simple AR drawing experiment build in Java using ARCore.
Draw-Note-Unity-Hololens-2-Sprint
C#, Unity, HoloLens 2, AR, MRTK2, UWP, HoloLens 2 Emulator
DirectManipulationAR
Direct Manipulation Gestures for interacting with virtual object in AR with a smartphone
sketchtoar
View your hand drawn sketches in Augmented reality
InstaAR-Augmented-Reality
An Augmented Reality App where you can add sketches, Images, Stickers and Gifs and bring them to life
hand-gesture-recognition-opencv
A project on hand detection and hand gesture recognition developed using OpenCV on Python 2.7.
WirelessVolumeControl
This project is developed to control the volume of a computer using real-time hand gesture recognition using Machine Learning modules. The main aim of the project is to create a positive human-computer interaction with augmented reality technology.
AI-Hand-gesture
As we know, the vision-based technology of hand gesture recognition is an important part of human-computer interaction (HCI). In the last decades, keyboard and mouse play a significant role in human-computer interaction. However, owing to the rapid development of hardware and software, new types of HCI methods have been required. In particular, technologies such as speech recognition and gesture recognition receive great attention in the field of HCI. Gesture is a symbol of physical behavior or emotional expression. It includes body gesture and hand gesture. It falls into two categories: static gesture [1–4] and dynamic gesture [5–8]. For the former, the posture of the body or the gesture of the hand denotes a sign. For the latter, the movement of the body or the hand conveys some messages. Gesture can be used as a tool of communication between computer and human [9–11]. It is greatly different from the traditional hardware based methods and can accomplish human-computer interaction through gesture recognition. Gesture recognition determines the user intent through the recognition of the gesture or movement of the body or body parts. In the past decades, many researchers have strived to improve the hand gesture recognition technology. Hand gesture recognition has great value in many applications such as sign language recognition [12–15], augmented reality (virtual reality) [16–19], sign language interpreters for the disabled [20], and robot control [21, 22].
Gesture-Controlled-Special-Effects
An augmented reality program based on a pre-trained CNN gesture recognition model.
Gesture-Recognition-for-Augmented-Reality
A gesture recognition module for Augmented Reality environments with Unity3D/Vuforia. ** Need a complete revision **
Leap-Gesture-Checker
Leap motion image recognition gesture checker GUI(C#) for developing Hand bone angles, Positions, and recognizable gestures(fuzzy logic) implementable in Virtual/Augmented reality apps.