![In 2024, Unveiling Gestures in Tech Landscape](https://thmb.techidaily.com/74045d9d6303c7a70563d004d7c7b11c2909530a50d24fd1a27318344d95b256.jpg)
In 2024, Unveiling Gestures in Tech Landscape
![](/images/site-logo.png)
Unveiling Gestures in Tech Landscape
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] The Essential Tutorial From GIF Art to Sticky Fun on Social Media
- In 2024, Top Prospects Animation Enhanced 3D Tools
- 2024 Approved Unleashing 3D Text A Photoshop Technique
- [New] Skyward File Fortresses Identifying Top Cloud Titans
- [Updated] The Perfect Snap Infusing Dynamic Blur Into Faces Through Picsart Editing
- [Updated] Unlocking Advanced AR Visualization Techniques Using Custom LUTs
- In 2024, Transition Made Easy The 8 Best Convertors for Subtitles & SRTs
- [New] Transforming Ordinary Interviews Into Impactful Experiences
- [Updated] The Art of Impressive HDR Portraits Explained
- Tailored Strategies for FREE Clock Usage Optimization for 2024
- [Updated] Unlock Video Mastery with These Quick Trimming Tips for Windows 10
- Transform Canon Photos Gratuitous Fundamentals + Optional LUT Expansion for 2024
- [New] The Ultimate Camera Duel SJ6 Against Xiaomi's Yi Visionary
- 2024 Approved Swiftly Blur Your iPhone Shots with These 4 Tricks
- [New] Top Performances in Snowboard Cross World Cup '22
- [Updated] Techniques to Transform Text Into a 3D Entity
- 2024 Approved Unlocking Laughter in VR Crafting Metaverse Humor
- Tech Trends Spotlight 5 Cutting-Edge Camcorders for Slow Motion for 2024
- [Updated] Unveiling Top 6 Microphones Perfect for Online Streaming Success
- Ultimate Guide Top 20 Cost-Free Video Editing Websites for 2024
- Ushering Bliss in Unboxing 7 Strategies for 2024
- Streamline Your Screens YouTube Video Resizing Tricks for 2024
- [New] Picture Perfection Choosing the Best Camera Positions on iPhone
- Unlocking Kinemaster's Full Potential in Zoomed Sections for 2024
- 2024 Approved Newly Updated Set of Chat Starters for Podcast Success
- [New] Unlocking Your Phone's Potential Making TikTok Rhythms Your Alarm
- Unveiling the Power of Azure Voice Recognition API for 2024
- In 2024, Top 10 Editing Wizards FCP's Must-Have Plugins
- The Ultimate Guide for Effective Periscope Use for 2024
- 2024 Approved Textual Transformation Enrich Your Images with Words, PC/Mac Style
- In 2024, The Art of iPhone HDR Photo Perfection
- In 2024, The Best in Class Evaluating the Top 8 Sub to SRT Convertors
- In 2024, The Art of Crossfade Audio Seamless Integration in Logic X
- 2024 Approved Turn Out Clearer Snaps Ranking the Most Effective Online Editors
- 2024 Approved Transforming Images with the Best Color Adjustment Guides
- [Updated] Unveiling the Secrets to YouTube Comment Insight
- Unveiling the Art of Night Sky Captures on iPhone for 2024
- [New] Revolutionizing Workouts The Best VR Treadmill Choices
- [New] Unlock Hidden Potential Top 10 Enhancing Plug-Ins
- 2024 Approved Supreme Suggestions Elite iOS Tone Craftsmen
- [Updated] Unlocking Success in the World of Digital Marketing
- [Updated] Unbox and Discover Samsung's UE590 4K, FreeSync Marvel
- 2024 Approved Unveiling the #Top 10 4K Computer Screens
- In 2024, Sideways Scene Understanding IG's Upside-Down Issue
- [New] Top 10 Free Harmonies for Deep, Calm Meditation Sessions
- [Updated] Unlocking the Potential of Virtual Backgrounds in Webcasters' Arsenal
- [Updated] The Ultimate Guide to Picking Drones' Balance Equipment
- [Updated] 2024 Approved Advanced Window Capturing Tools
- [New] Mastering TikTok Voiceovers Unveiled for 2024
- 2023'S Leading Facebook Film Extractors - Top Picks for 2024
- Crafting an Irresistible Digital Selfie Replica on TikTok
- In 2024, 9 Mind-Blowing Tricks to Hatch Eggs in Pokemon Go Without Walking On Honor 100 | Dr.fone
- [New] In 2024, Achieving Geometric Brilliance Making MC Circles & Spheres
- Updated In 2024, Best Free MOV Video Editing Software Top Picks
- In 2024, A Step-by-Step Guide to Forming Effective YouTube Partner Relationships
- [New] In 2024, Unlock Joy Amidst Confinement Prime 20 Jailbreak Funny on Fb
- 2024 Approved Key Tips for Locating Your Preferred Discord Server
- Catch or Beat Sleeping Snorlax on Pokemon Go For Nokia XR21 | Dr.fone
- New In 2024, Free Video Hosting Solutions Top Picks for Individuals and Businesses
- How To Change Honor Play 7T Lock Screen Password?
- In 2024, All You Need To Know About Mega Greninja For Oppo Find X6 Pro | Dr.fone
- [New] Pixel Perfect Recorder for PCs
- [Updated] Integrating Linktree in Your TikTok Bio for Maximum Impact
- Fake Android Location without Rooting For Your Nokia G310 | Dr.fone
- [Updated] Perfect Wave Linker The Podcastist's Choice
- [New] In 2024, From Trending Videos to Topical Graphics TikTok-to-GIF Guide
- How to Repair corrupt MP4 and MOV files of Asus ROG Phone 7 Ultimate using Video Repair Utility on Mac?
- 4 Feasible Ways to Fake Location on Facebook For your Huawei Nova Y71 | Dr.fone
- Snap-Worthy Success Logging Galaxy Gaming Stories
- 2024 Approved Leading 20 Non-Copyrighted PUBG Image Sequences
- Insta-Wow Moments 7 Must-Follow Strategies for Striking Reels for 2024
- Apple iPhone XS Max Backup Password Never Set But Still Asking? Heres the Fix | Dr.fone
- [New] In 2024, Interactive Features
- Transform Your Videos Secrets of Effective YouTube SEO Tools
- [New] Understanding and Meeting Aspect Ratios on Twitter for 2024
- 2024 Approved How to Add Filters and Music on Windows 10 Photos App
- Title: In 2024, Unveiling Gestures in Tech Landscape
- Author: Daniel
- Created at : 2024-06-04 00:51:02
- Updated at : 2024-06-05 00:51:02
- Link: https://some-skills.techidaily.com/in-2024-unveiling-gestures-in-tech-landscape/
- License: This work is licensed under CC BY-NC-SA 4.0.