!["[New] The Encyclopedia of Hand-Centered Interaction Systems"](https://thmb.techidaily.com/634ac9f760c3e79a9b2c54edc99fe994b8053a847fb1d16c5b184059bb3a3f2f.png)
"[New] The Encyclopedia of Hand-Centered Interaction Systems"
![](/images/site-logo.png)
The Encyclopedia of Hand-Centered Interaction Systems
In the era of advancements, Hand Tracking is a fascinating technology with a great range of applications in both virtual and augmented reality.
Hand Tracking is a process by which a computer can analyze and interpret the movement of a person’s hands. This can be done using various devices, such as smart gloves, often known as data gloves.
In this article, we’ll discuss Hand Tracking technology, its various applications, and how to create it using Python, OpenCV, and Media Pipe.
Part 1. What Is Hand Tracking? Where Is It Applied?
Hand Tracking refers to the process of tracking the position and movement of a user’s hands in virtual reality. This is usually done using a combination of sensors, including cameras, infrared sensors, or ultrasonic sensors.
By tracking the user’s hands, VR systems can provide more immersive and interactive experiences. For example, Hand Tracking can be used to allow users to interact with virtual objects, as well as to provide input for gestures and body language.
The Oculus Quest 2 is a virtual reality headset that immerses you in virtual worlds. Quest 2’s one of the coolest features is Hand Tracking, which lets you interact with the virtual world around you using your hands.
With Hand Tracking, you can interact with the virtual world more naturally and intuitively. You can use your hands to pick up objects, draw, and even type on a virtual keyboard. Moreover, it opens up new possibilities for gameplay, allowing you to play games in new and innovative ways.
Part 2. Types Of Hand Tracking
There are two main types of Hand Tracking: with interface and without interface:
Tracking With Interface
With interface Hand Tracking, you need to use a device such as a glove or a controller to interact with the virtual world. This can be used in VR or AR applications. It is further divided into two systems:
1. Inertial Motion Capture Gloves
Inertial motion capture gloves use sensors Inertial Measurement Units or IMUs with built-in sensors to track the movement of your hands. These sensors include gyroscopes, accelerometers, and sometimes magnetometers for measuring angular rate, detecting gravitational force and acceleration, and measuring the earth’s magnetic field, respectively.
These gloves can be used for a variety of purposes, such as gaming, virtual reality, and motion capture for movies and video games. Inertial motion capture gloves are becoming increasingly popular as they offer a more immersive experience than traditional controllers.
2. Optical Motion Capture Systems
Optical motion capture is a process that uses cameras and reflective sensors to track movement in three-dimensional space. These systems are often used in movies and video games to create realistic animations.
Optical motion capture systems emit infrared light from the camera. The markers reflect light, which is then captured by cameras. The movement of the markers is then used to create a three-dimensional model of the object.
The more cameras used, the more accurate the results. While this technology is very precise, it can be limited by factors such as body position and movement.
Tracking Without Interface
Also known as Markerless Hand Tracking, this type of Hand Tracking allows users to track their hand movements without the need for any external markers or data gloves, meaning more spontaneous interaction and freedom of movement. This could hugely impact everything from gaming to virtual reality to human-computer interaction.
Right now, markerless Hand Tracking is still in its early stages, with a few limitations. However, as this technology continues to develop, we will likely see more and more applications for it in the future.
Part 3. Using Python, OpenCV, And MediaPipe To Create A Hand Tracking
Above we have learned what is Hand Tracking and the two types of it. Now let’s see how we can create a hand tracking with two Python Libraries - OpenCV and MediaPipe.
Before we go further about them, let us learn about Python quickly. Python is a versatile language used for a wide range of tasks, including image processing and computer vision. We will use Python and two Python Libraries: OpenCV and MediaPipe, to create a Hand Tracking module.
What is OpenCV
To get a deeper understanding of OpenCV, please read our article: Opencv Tracking, a compete review.(同期交付文章,请插入相关内链~)
What Is Media Pipe
Media Pipe is an open-source framework by Google that provides a set of tools for working with multimedia data or media processing. It includes modules for handling audio, video, and images. Media Pipe also supports various codecs and file formats.
There are two stages for creating a Hand Tracking program using MediaPipe:
- Palm Detection: In the first stage, MediaPipe has to work with the entire input image, providing a cropped image of the hand.
- Hand Landmarks Identification: In the second stage, the framework works with the cropped image of the hand to find 21 hand landmarks.
Guidance With Steps
Before starting to create Hand Tracking, you need to install the Pycharm IDE app on your PC. Once installed, launch it and follow these instructions step-by-step:
Install OpenCV and MediaPipe
Click the “New Project” option and select “Create” on the next Window. Open the Terminal to install the two libraries.
Copy and paste the following command in the Terminal to install OpenCV:
Now, to install MediaPipe, copy and paste the following command:
Coding
A main.py file for writing code will be automatically created in Pycharm app once you create a new project.
Step1 Importing The Libraries
First, import the OpenCV and MediaPipe to use their dependencies. Once done, create an object cap for video capturing and three other objects; mpHands, hands, and mpDraw to manipulate your input using MediaPipe.
Step2 Capturing And Processing An Image Input
Copy and paste the following line of code to take the image input from your PC webcam.
The image is converted to RGB from BGR because MediaPipe works with this type of image. The RBG image is then processed to track the hand.
Step3 Working With Both Hands
Now, create a class for tracking and for the hands function to work, key in the basic parameters. Next, provide all the initialization required. This includes the basic parameters and MediaPipe initializations. Put “self” before each object to provide access to its attributes and methods.
Step4 Creating Method For Tracking Hands In Input Image
Afterward, use the above code to create a method for using specifically to identify hands in the input image. The code will also draw hand landmarks and hand connections.
Step5 Locate The ‘X’ and ‘Y’ Coordinates Of Each Hand Point
To create a method for finding the x and y coordinates of the z21 hand points and a list that you will use to keep the values of these, write the code below:
In this method, use the code that you used to find the ID and hand landmark of each hand point. Moreover, put the code you will use to circle the hand point.
Step6 Main Method
Now, write the below dummy code to showcase what the module can do, i.e., identify and track hands. The code appears in the main method and uses the lmlist object and image.
Step7 Main Method Execution
To execute the main method, copy and paste the following code lines:
Step8 Result
The module and output of the program will be the same, and when they are complete without any errors, you will get your output, i.e., the module will track and identify your hand movements without any glitches.
Part 4. Use Filmora to demonstarte your Hand Tracking skill
After what has been explained above and what you have learned by now, we hope you have been equipped with hand tracking module knowledge and be ready to take action. Here, we will also sincerely recommend you a user-friendly and professional video edtior to show your hand motion scene – Filmora !
Filmora is available for all types of users. You can easily use it to edit your video, add effects to it and insert your hand motion part naturally.
Learn more about Filmora:
Free Download For Win 7 or later(64-bit)
Free Download For macOS 10.14 or later
Conclusion
In this article, we’ve explored Hand Tracking and its two types, i.e., tracking with interface and tracking without interface. Moreover, we provided step-by-step guidance on using Python, OpenCV, and MediaPipe to create a Hand Tracking module.
We hope this guide helped resolve your queries, and you can now create a Hand Tracking module in no time. And please do try Filmora to create a magical video with your Hand Tracking scenes in it!
Also read:
- [Updated] Ultimate Hook-Creation Tool for Online Titles
- In 2024, Tips for Efficiently Implementing Windows 11'S Auto HDR Mode
- [Updated] Unveiling Excellent Video Creatives
- Streamline Your Screen Experience PIP Mastery for Mac Enthusiasts for 2024
- [New] Mastering Adobe Cloud Essentials & Top Alternatives
- In 2024, Ultimate Playwriting Workshop
- [Updated] Transform Your Images with PicArt Clear Canvas Technique
- [New] Tint Tuning Toolkit
- In 2024, Unveiling the Full Potential of Video Storage in Modern Hardware (64/128GB)
- [New] The Evolution of 4K A Look at the D500 Model
- [Updated] The Pinnacle of iPhone Photography Finding Ultimate Angles
- 2024 Approved Superior Supplements to Enhance GoPro
- [New] The Pinnacle of Scripts Across the Cinematic Universe's Sections
- In 2024, Off-Facebook Insights What They Reveal & When to Turn Them Off
- [Updated] Tactics for Securing Royalty-Free Creative Pieces
- In 2024, The Definitive Guide to Audio Transitions
- Unlocking Potential Advanced Techniques for Slug Line Creation for 2024
- In 2024, The Bottom Line How Much Do Podcasters Take Home?
- [New] Unlock Creative Communication - Get FREE Voice Effects Today
- In 2024, Top Gamer's Choice Best 4K Monitors
- [Updated] Versions of Windows Movie Maker
- 2024 Approved The Ultimate List 10 Best Date-Counting Clocks Android/iOS
- [New] Top 5 Cloud Giants Unlimited Capacity Showdown
- In 2024, Ultimate Free Stopwatches Without a Price Tag
- The Art of Crafting Impressive HDR Images Using Lightroom for 2024
- Top Tricks for Achieving High-Quality Slow Motion Videos on Android for 2024
- The Art of Stabilizing Aerial Cameras Choosing a Drone Gimbal for 2024
- [Updated] The Ultimate Facetune Experience Enthusiasts
- 2024 Approved Unlock the Full Potential of VR on Your Android Device
- [New] Unlock Advanced Editing Text Insertion Tips on Images in Microsoft's Photos
- 2024 Approved The Spectacquad P2715Q A Deep Dive Into 4K Screen Technology
- 2024 Approved Top iOS/Android Apps for Creative Photo Captions
- [New] Streamlined Sound Collection Adding iTunes Podcasts with Ease
- 2024 Approved Unique Choir Compositions as Your Smartphone Tones
- In 2024, The Art of HDR Enhancement Your Lightroom Journey
- 2024 Approved Symphonic Selection Ideal Websites for Ringtones
- 2024 Approved Unlock Kinemaster's Secrets to Smooth Transitions
- 2024 Approved Telegram Marketing Made Simple For Those Just Starting Out
- Updated 2024 Approved Mastering Your Sound An Insightful Review of Leading Live Audio Modifiers
- In 2024, Proven Winners Selecting the Best HDR Cameras
- [New] 2024 Approved Discover Instagram's FREE Filter Options with Smart Searching Techniques
- Top 10 Fingerprint Lock Apps to Lock Your Poco C55 Phone
- Unleashing the Power of Spotify's Ad Platform for Marketers
- 2024 Approved How to Add a Spooky Shadow Effect
- [Updated] Fabricate Funnier Photos
- New 2024 Approved Win & Mac Users Best Picks Top MP3 Recording Software and Hardware
- [Updated] Top 10 Free Video Capture Tools for Windows/Mac
- Is your Vivo Y36 working too slow? Heres how you can hard reset it | Dr.fone
- [New] Maximizing Engagement Essential Strategies for Facebook Video Promotion
- In 2024, Top 10 Sound Extractors to Extract Sound From Video 2023
- The best electronic signature way to sign .docx documents online
- The Art of Color Harmony Explore This Select List of 7 Techniques
- Updated From Forward to Reverse The Ultimate TikTok Video Editing Guide 2023 Update for 2024
- [Updated] The Smart Strategies for iTunes Video Logging for 2024
- In 2024, Is GSM Flasher ADB Legit? Full Review To Bypass Your Gionee Phone FRP Lock
- New Innovative Strategies for Enhancing Your Music Videos for 2024
- 2024 Approved Nikon J5 Unleashed Embracing 4K Camera Technology
- In 2024, ImageMagick Studio Walkthrough
- 2024 Approved Timing Your Insta Shots for Maximum Impact
- How to Fake GPS on Android without Mock Location For your Nubia Z50 Ultra | Dr.fone
- [New] In 2024, Maximizing Impact with Smartly Produced FB Videos
- In 2024, HDR Photography How to Use HDR Mode on Your Android Devices
- In 2024, Virtual Vigilance Securing Your Cyber Space While Connecting Online
- Efficient Techniques to Preserve Webcam Dialogues
- New Best Music Video Makers Top Editor Picks
- How to Fake Snapchat Location without Jailbreak On Samsung Galaxy A05s | Dr.fone
- How to Bypass Android Lock Screen Using Emergency Call On Motorola Moto G14?
- The Top OGG Conversion Software Our Expert Takeaways
- 2024 Approved Core Virtual Reality Cinematic Gems
- In 2024, Crossing Thresholds in CTAs Anticipating FB Ad Shifts
- Decoding the Fuzziness in Facebook Videos for 2024
- Title: "[New] The Encyclopedia of Hand-Centered Interaction Systems"
- Author: Daniel
- Created at : 2024-06-04 07:21:49
- Updated at : 2024-06-05 07:21:49
- Link: https://some-skills.techidaily.com/new-the-encyclopedia-of-hand-centered-interaction-systems/
- License: This work is licensed under CC BY-NC-SA 4.0.