Real-Time Gesture Detection and Dynamic Typography Using ml5.js BodyPose.

Published by Kushtrim Hamzaj
September 4, 2022

The ml5.js BodyPose library is a user-friendly ML library from ml5.js that simplifies the implementation of pose estimation in web projects. It can identify key points on the human body, such as joints and limbs, and track their positions. In this experiment, the model was trained to recognize three specific body gestures which were named: “Star,” “Leaning,” and “Standing.” Each gesture was programmed to trigger a corresponding update to a variable font, enhancing the visual representation of the user’s movements.

Initialization and Setup in Gesture Detection Applications

The process begins with the loading of essential libraries and models. The ml5.js library, known for its user-friendly interface for machine learning in JavaScript, is the backbone of this application. Specifically, the BodyPose model is crucial for real-time pose estimation, as it accurately identifies key points on the human body, such as joints and limbs. In conjunction with this, a custom-trained neural network model is loaded, tailored to classify specific gestures that the application aims to recognize, such as “Star,” “Leaning,” and “Standing.”

The full Article is coming soon.

AITYDE – Artificial Intelligence in Typography and Design
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.