!["The Complete Hands-Free Navigation Manual"](https://www.lifewire.com/thmb/TmsJcCDSLMPoLojfhSM-bFiZpq4=/400x300/filters:no_upscale():max_bytes(150000):strip_icc()/GettyImages-1091848586-b2b3894011ae4ffe98697d9b361c2483.jpg)
"The Complete Hands-Free Navigation Manual"
![](/images/site-logo.png)
The Complete Hands-Free Navigation Manual
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:
- Selective Complementary Items for Outstanding GoPros
- Melodic Movies The Art of Making Musical Reels
- Fusing Fun and Functionality Top 6 Engaging Video Formats
- Peak PSD Layer Magic
- Sky's Canvas Transforming Drones Into Dynamic Videos
- [Updated] Ace Your Messaging Must-Know Advanced Tricks and Techniques in WhatsApp
- Speedy Upgrade Leading Android Video Tuners
- [Updated] Comprehensive Guide to Samsung Photography Suite, 2023
- Perfecting Film Editing Final Cut Pro 101
- 2024 Approved Crafting Content with Custom Fonts in Adobe AE
- How Burst Mode Enhances GoPro Videos
- Unveiling the Best LiPos - A Drone Buyer's Bible
- DJi's Mavic Pro Visual Goggles Performance Review
- Acclaimed Top 5 Compact Cameras for Filming
- Discover What’s Brewing in Windows 10 Gaming World
- Maximizing Impact Making an Engaging Podcast Trailer
- [New] Action Cam Showdown 2022 Hero5 Black Vs. Ultra 30 Streaming
- [Updated] Ace Your Project Advanced SRT Tweaks on a Mac
- [Updated] Covert Measures for Efficient Home-Based Learning
- Audience Favorites Outstanding VR Gaming with Google Cardboard
- Total Gaze Field VR Device Overview
- Capture the Crash Top Surf Cameras of 2023
- Tackling Fuzzy Visuals on Online Video Platforms
- Android's Best Podcast Tools for 2024
- [Updated] Crafting Your Unique Look in Windows Photos App with Music and Filter Choices
- Best Meme Text Generators to Use for 2024
- [New] ChortleCove App - Where Laughter Thrives Online
- Comprehensive 3D LUT Development Course for 2024
- Celebrating Families This Year’s Top 10 Movie Gems for 2024
- Breaking Down LG's 360 Camera Updates & Features
- [Updated] Convert SRT with Ease - The Finest FREE Converters Ranked
- Evolving Narratives in Virtual Cinema Landscapes
- Premium 10 Drones Capturing Images & Films
- [Updated] Best Options Cheap but Premium 4K Projector Systems
- [New] Controlling Playback Rate The Netflix Speedy Guide
- A Step-by-Step Manual to Freeze Backgrounds in Affinity Photo for 2024
- Where Can You Find Instagram Ringtones That Elevate Your Call Experience?
- Choosing the Finest 10 Free Subtitles Editors Online for 2024
- [New] Best FREE SRT Translators Online An Elite List of 8
- Photo Perfection How to Erase Background Noise with Ease
- In 2024, How to Transfer Contacts from Itel A60s to Other Android Devices Devices? | Dr.fone
- iSpoofer is not working On Itel A05s? Fixed | Dr.fone
- In 2024, Innovative Solutions The Best Bot Picks for Servers
- New End This Problem! Make Transparent Background Video Today
- [Updated] The Loom Reel Detailed Guide to Screen Capture
- Dont Miss Out on These 5 Superior Android Audio Editing Applications for 2024
- 2024 Approved Frequency Finder The Leading Linux Audio Software Options, Free or Full-Price,
- New 2024 Approved Top Free LUTs To Use in Shotcut An Overview
- New 2024 Approved Easy-to-Use Video Editors for Home Users
- 2024 Approved Who Are the Kings of TikTok Gameplay?
- 20 Best Anime Movies You Cannot Miss 2024 Update
- [Updated] Ace the Art of Game Recordings in Windows 11 for 2024
- [Updated] In 2024, Innovating Your Sims 4 Experience Through Recording
- Digital Audio Collection 101 Efficient Methods to Download and Store Podcast Episodes for 2024
- Updated In 2024, Audience Captivation Technique How to Personalize Your Speech with Audacitys Vocal Effects
- New Best Mac Audio Conversion Tools Expert Recommendations for 2024
- [Updated] In 2024, ScreenCapture 2023 Top Tech's Recommendations
- [Updated] Techniques for Efficient Zoom Meeting Recordings
- In 2024, Comprehensive Solution for Partially Muted FB Video Tracks
- [Updated] 2024 Approved Daily Digest Downloader
- [New] The Ultimate Guide to ZDSoft Video Recording
- Updated 2024 Approved Mastering the Art of Audio Enhancement in Digital Media Creation
- [New] Simplified Strategies for Screen Recording Games
- 10 Best Montage Songs for Your Montage Video for 2024
- [Updated] In 2024, Maximizing Harvests with Ideal Valheim Seeds
- How To Change Motorola Edge 2023 Lock Screen Password?
- [Updated] Establishing Baseline Metrics for IGTV Effectiveness
- [New] 2024 Approved Vimeo in a Nutshell The Video Sharing Experience
- New S Best MTS Video Editing Tools Expert Reviews and Ratings for 2024
- Can Life360 Track You When Your Motorola Edge 40 Pro is off? | Dr.fone
- How PGSharp Save You from Ban While Spoofing Pokemon Go On Honor 90 GT? | Dr.fone
- How to Reset Nokia C300 Without the Home Button | Dr.fone
- [Updated] 2024 Approved Transforming Your Photos on Instagram Green Screen
- [New] Discovering the #1 Songs of Facebook Video Insights
- [Updated] 2024 Approved Superior Voice Communication Services
- [Updated] Leading Charts to Video Formats
- AVCHD on Defy 2-convert MTS for Defy 2
- [Updated] 2024 Approved Ignite Your Videos with These Top 50+ Inspirational Quotes
- Title: "The Complete Hands-Free Navigation Manual"
- Author: Mark
- Created at : 2024-05-24 07:26:15
- Updated at : 2024-05-25 07:26:15
- Link: https://extra-lessons.techidaily.com/the-complete-hands-free-navigation-manual/
- License: This work is licensed under CC BY-NC-SA 4.0.