Manomotion Data Structures within Unity

Learn YOLOv4 Object Detection | OpenCV Python | Computer Vision (2021)" https://www.youtube.com/watch?v=Iw3tducClFw --~-- Hey guys and welcome back. Today we are going to be looking into the Manomotion motion manager data structures.

• FREE AR Business Card Crash Course: http://bit.ly/FREEARBusinessCardCrashCourse

• Advanced AR on Patreon: http://bit.ly/PatreonArduinoStartups

• Enroll Here in the Full ARCore MasterClass Course: http://bit.ly/ARCoreCourse-Teachable

• Github: https://github.com/reigngt09/AR_HandGestures

• AR Courses on Udemy: http://bit.ly/ARinVuforia

So right away we can see that Manomotion has 3 structs, which are hand information in Unity, the session and visualization components. These 3 structs have all the information you need to create amazing hand gesture recognition apps.

Hand info Unity Has all the information from the detected hand which is stored as an array. This allows for easy access for hand gesture information especially when two hands are detected. Just note that you need an upgraded license to enable dual hand gesture recognition. So the hand info struct contains tracking and gesture information, warnings as well as classification of left and right hands.

Hand Textures Hand Textures provides the Visual information of the hand within the frame.

Tracking Information Tracking info comes with a handful of features or rather the data that we can access for our apps such as

The Bounding box of the hand as well as Positional information of the palm center, fingertips, as well as the inner and contour points. You can do quite a bit with Rotation of the hand as well how far or close your hand is from the camera using relative depth.

Support us on Patreon ►AugmentedStartups.info/Patreon Chat to us on Discord ►AugmentedStartups.info/discord Interact with us on Facebook ►AugmentedStartups.info/Facebook Check my latest work on Instagram ►AugmentedStartups.info/instagram Learn Advanced Tutorials on Udemy ►AugmentedStartups.info/udemy

To learn more on Artificial Intelligence, Augmented Reality IoT, Deep Learning FPGAs, Arduinos, PCB Design and Image Processing then check out http://www.arduinostartups.com/

Please like and Subscribe for more videos :) ... https://www.youtube.com/watch?v=6mA4XJT3SHM