Manomotion Fundamentals - Hand Gesture Recognition

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About This Course

Hand Gesture Detection that gives you Super Powers! Using Manomotion

Learn how we implemented Hand Gestures Recognition on Android using Manomotion

When we first got started with Mobile Augmented Reality, we quickly realized that there was no easy way of interacting with your environment except for you screen. While this is adequate for the job, it is not quite so interactive. If you watched movies like Minority Report (Tom Cruise Movie), you can see the possibilities and practicality of using Hand Gesture recognition. However the following problems persisted:

  • There was no easy way to get this functionality on mobile,

  • Manual hand gesture detection and recognition is quite computationally expensive,

  • Once you have developed a program to detect hands, you would then have to figure out how to integrate it with Unity,

  • How to reliably detect hand using a single camera, without the aid of external depth sensors,

  • How to get this tech working on as many phones as possible (with cross platform support).

These were some of the problems we faced until we found Manomotion. Manomotion provides a framework for real-time 3D gestural analysis with minimal hardware and minimal computing power. All that is required is a simple RGB camera found in everyday smartphones. Manomotion is also compatible with ARCore, AR-Kit as well as Vuforia.

So after playing around with this SDK, we decided to make a quick and easy video course on how to get started using Manomotion for your own applications. So essentially, we've structured this training to reduce debugging, speed up your time to market and get you results sooner.

In this course, here's some of the fundamentals that you will learn:

  • Experience the magic of superpowers using Hand Gesture Technology,

  • How to Get Started with Manomotion,

  • Discover how to Rotate objects with your hands,

  • Perform Gesture Recognition and Shoot Kai Blasts,

  • Smash Skulls with your Bare Hands using  Depth Estimation,

  • Learn about Manomotion Data Structures.

You also get helpful bonuses:

  • ARCore 'Hello World' Setup Instructions

Personal help within the course

I'm here to help if you have any questions. Students can start discussions and message me with private questions. I love helping students who take my courses and I look forward to helping you.

Get a Career Boost with a Certificate of Completion  

Upon completing 100% of this course, you will be emailed a certificate of completion. You can show it as proof of your expertise and that you have completed a certain number of hours of instruction.

If you want to get a marketing job or freelancing clients, a certificate from this course can help you appear as a stronger candidate for Augmented Reality jobs.

Money-Back Guarantee

The course comes with an unconditional, Udemy-backed, 30-day money-back guarantee. This is not just a guarantee, it's my personal promise to you that I will go out of my way to help you succeed just like I've done for thousands of my other students.

Let me help you get fast results.  Enroll now, by clicking the button and let us show you how to implemented Hand Gestures Recognition on Android using Manomotion.

  • You will experience the magic of superpowers using Hand Gesture Technology.

  • How to get started with Manomotion.

  • Discover how to rotate objects with your hands.

Instructor

Profile photo of Augmented Startups
Augmented Startups

So a bit about me, Ritesh Kanjee: I've graduated from University of Johannesburg as an Electronic Engineer with a Masters in Image Processing and 8 years ago I started my online school called Augmented Startups where I have over 100'000 subscribers on YouTube and over 60'000 students on Augmented AI Bootcamp/Udemy.I’ve worked with popular tools such as TensorFlow Keras, Open...

Review
4.9 course rating
4K ratings
ui-avatar of Farm Chui Ping
Farm C. P.
1.0
4 years ago

Too many errors in the code. Different code from the one show in the video tutorial and from github. Very difficult to follow.

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ui-avatar of Veijo Petteri Kirkinen
Veijo P. K.
3.5
5 years ago

I Like It. But it was little bit old version. I use 2019 unity and that was 2017. ARCore was different setup there. But ok course anyway.

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ui-avatar of Ayberk Topbağ
Ayberk T.
1.0
6 years ago

This cource is not about Hand Gesture Recognation, the teacher uses an application for gesture recognation. Its funny...

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ui-avatar of Antonio Fonseca Alvarado
Antonio F. A.
5.0
6 years ago

Buenos ejemplos de implementación, aunque si tardado por el acceso a Manomotion sdk

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