[New] Comprehensive Manual on Gesture Controls
Comprehensive Manual on Gesture Controls
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!
- What is OpenCV
- What Is Media Pipe
- Guidance With Steps
- Use Filmora to demonstarte your Hand Tracking skill
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:
- Melodic Messaging Audio Enhancements for Status
- Zipping Outcomes Turning Into SubRip Text Files
- Ultimate Guide Selecting Top-Ranked FREE SRT Translation Tools
- Unmatched Clarity Best Blu-Ray Players of '24
- Magix Video Pro X Review
- A Peek Into the Viral World of Stock Photo Memes for 2024
- [New] Capturing Every Angle, Not Just a Single Plane
- Silent Scribes Unveiling the Best Speech-to-Text Tools
- Insider Insights Unpacking the DJI Phantom 3 Pro Features
- The Art of Cinema Mastering the Best 5 Camera Tips
- Achieve Epic Results The Ultimate Guide to GoPro Time-Lapses
- Prime 20 Anime Openers' Soundscape
- The Bottom Line How Much Do Podcasters Take Home?
- [Updated] Becoming a Metaverse Veteran Top 7 Gadgets for the Experts
- Quality Control Best Free LUT Selections & Links Reviewed
- [New] Alternatives to WIndows' Traditional Video Editing
- 2024 Approved Best Investment in Streaming Comparative Evaluation
- [Updated] Boosting Online Videography with Key Tools
- From Basic Shapes to Complex, Realistic 3D Text in Photos
- In 2024, A Complete Overview Regulating Snapchat's Video Velocity
- Elite List 8 Amazing 3D Websites & Glittering Text
- 2024 Approved A Complete Overview of Polarr Photo Editor
- Serpent Soundtrack Comprehensive Guide to TTS Resources Online
- From Life' Written in Stillness to Moving Pictures
- Substitutes to MovieMaker in the Windows Realm
- Ultimate Guide to iPhone's Video Length Tailoring
- [Updated] 5 Best HD Hunting Cameras Reviewed
- Maximum Frame Rate for Languid Motion Videos
- In 2024, Get Motivated by the 20 of the Best Background Music for Exercise
- Dynamic Zoom Control System
- Digital Note-Taking Simplified An Ultimate Voice Guide
- In 2024, 10 Best Mixers for Podcasting
- Export Troubleshooting Saving Your Premiere's SRT Data
- Sony BDP-S6500 Review
- Best Audio-Changing Software for Virtual Artists' Success
- Fundamentals of Crafting Engaging Stories
- Dissecting the Core Features Comprehensive Review of Lightroom on Android
- In 2024, A Comprehensible List of The Leading 5 Online Title Innovators
- Conduct a Symphony on the PPT Stage
- ASMR's Good Side Benefits Revealed Now
- [New] Action Sequence Mastery Selecting GoPro's Best Cinematic LUTs
- [New] Best Bargain for Window/Mac Users Top 8 FREE 3D Players
- Ultimate Guide to Best Camcorders - Top 10 List, 2024
- Differences Between Standard 360° & VR Content
- Elevate Design Complimentary, Cutting-Edge PSD Texts
- 2024 Approved Best Wearable Camera Innovations
- 2024 Approved Cost Analysis Completing A Music Video Shoot
- [Updated] Crafting Compelling Docu-Scripts A Step-by-Step Guide
- Craft Professional Edits with Story Remix in Windows Photos App for 2024
- Best Anti Tracker Software For Motorola Moto G23 | Dr.fone
- Unveiling the Top 5 Facebook Video Downloaders Today for 2024
- Streamlining Your Experience with Discord Spoiler Tag Usage for 2024
- [Updated] 2024 Approved Journey Through the Lives of Top 15 International TikTokers
- New In 2024, Top 4 Morgan Freeman Voice Generator Tools for Voice Cloning
- Unlock Your Device iCloud DNS Bypass Explained and Tested, Plus Easy Alternatives From Apple iPhone 6s
- Updated Speaking Volumes The Best Ways to Convert Text Into High-Quality MP3s for 2024
- [Updated] 2024 Approved Capturing Live Gaming - Decide on OBS/ShadowPlay
- New 2024 Approved Audiophiles Guide to Clear Audio Overcoming Background Sibilance and Hum
- [Updated] Mastering Game Recordings on Fortnite
- The Complete Guide to Samsung Galaxy A14 5G FRP Bypass Everything You Need to Know
- Looking For A Location Changer On Realme C33 2023? Look No Further | Dr.fone
- In 2024, The Updated Method to Bypass Vivo Y36i FRP
- The Best 8 VPN Hardware Devices Reviewed On Google Pixel 8 Pro | Dr.fone
- In 2024, TikTok Phenomena The Twitter Top Ten Chart
- In 2024, How To Change Your SIM PIN Code on Your Vivo V30 Phone
- Repair Corrupt PDF v1.2 File using PDF Repair Tool
- [Updated] Unlocking Potential Switch Pro Controller on Steam
- New 2024 Approved Locating Hilarious Audio Effects Online
- How to Stop Google Chrome from Tracking Your Location On Infinix Note 30i? | Dr.fone
- In 2024, How to Transfer Contacts from Poco M6 Pro 4G to Outlook | Dr.fone
- 8 Best DAW for Windows 10/7 Free&Paid for 2024
- 2024 Approved Create Engaging Intros 8 Best Video Intro Makers Reviewed
- In 2024, Maximizing Tweet Control 15 Premier Unfollow Utilities
- How to Change Spotify Location After Moving to Another Country On Poco C65 | Dr.fone
- 2024 Approved Maximize Your Reach Optimizing Social Media Images with the Right Aspect Ratios
- The way to get back lost call history from Google Pixel 8 Pro
- How to Transfer Photos from Oppo Reno 11 5G to New Android? | Dr.fone
- Top Tips for Effective Story Emoji Integration on Instagram for 2024
- [Updated] Pioneering Success Strategies for Profitable Animation in FB Ads for 2024
- [Updated] In 2024, Symphony of Sounds in Every Snapchat Story
- [Updated] The Easy Route to Capturing Every Gameplay Moment for 2024
- [Updated] The Insider's Guide to Musical Enhancements on IG for 2024
- New 2024 Approved Mastering Soundscapes with AVS An Examination of Product Specifications, Reviews, and Diverse Alternatives
- How to recover deleted photos after deleting from Recently Deleted on iPhone 15 Pro Max | Stellar
- Complete Tutorial for Honor Magic 5 Hard Reset | Dr.fone
- [New] The Ultimate Tutorial for Adding GIFs & Emojis in Instagram Stories
- Full Tutorial to Bypass Your Itel Face Lock?
- 2024 Approved Get Ready for Seamless Editing Filmora X on ARM Devices
- Easy Guide to Vivo V30 FRP Bypass With Best Methods
- How to Share Location in Messenger On Apple iPhone 15 Pro? | Dr.fone
- In 2024, How to Transfer Data from Xiaomi Redmi 13C to Any iOS Devices | Dr.fone
- In 2024, Remove the Lock Screen Fingerprint Of Your Vivo V29e
- In 2024, Revealing the Undisclosed in Instagram Story Observation
- New Reverse Your Videos Online The Best Tools for 2024
- Title: [New] Comprehensive Manual on Gesture Controls
- Author: Christopher
- Created at : 2024-05-24 01:56:05
- Updated at : 2024-05-25 01:56:05
- Link: https://extra-hints.techidaily.com/new-comprehensive-manual-on-gesture-controls/
- License: This work is licensed under CC BY-NC-SA 4.0.