Strike a pose - Gesture recognition in JavaScript with Machine Learning & Arduino.

Most of our interactions with technology aren’t really intuitive. We’ve had to adapt to it by learning to type, swipe, execute specific voice commands, etc… but what if we could train technology to adapt to us? Programming for hardware in JavaScript has already been made accessible with frameworks like. Johnny-five, but, combining it with machine learning, we have the opportunity to create new and smarter interactions. In this presentation, I will talk about how to build a simple gesture recognition system using JavaScript, Arduino and Machine learning. 


Senior front-end developer, Netlify

Charlie is a senior front-end developer at Netlify, a Mozilla Tech Speaker and Google Developer Expert in Web Technologies. She is passionate about the web and human-computer interaction. She spends her free time building interactive prototypes mixing science, art and technology, and also loves to give back to the community by mentoring new developers, contributing to open-source projects, and speaking at conferences.