Taylor Ho

The power to think like a Native Hawaiian in tech

Mandy Michael

Very Responsive Typography with Variable Fonts

Sarah Drasner

The Art of Code Comments

Danae Valentina

Digital Witchcraft: Magical Thinking for Digital Design

Max Goodhart

How to Wait

Dave Aronson

Kill All Mutants! (Introduction to Mutation Testing)

Charlie Gerard

Strike a Pose: Gesture Recognition in JS with Machine Learning

Erica Stanley

A Seat at the Table: Building Inclusive Ecosystems

Malte Ubl

Designing Even Larger (JavaScript) Applications

Ben Ilegbodu

The "Perfect" Library Tooling

Sam Bellen

No Way, JOSE

Rachel White

Look What You MIDI Me Do!

Brendan O'Leary

The Asynchronous Enterprise

Alex Sexton

Advanced Design System Considerations

Jenna Zeigen

Parsing Parsers

Dinesh Pandiyan

Progressive Rendering: Improve Performance on Slower Networks

Leta Keane

React, Vue, and Svelte as Teen Movie Archetypes

Rich Trott

A Crash Course on Worker Threads

Milecia McGregor

Using Machine Learning to Improve UI/UX

Tanner Linsley

Custom Hooks in React: The Ultimate UI Abstraction Layer

Cassidy Williams

TC39 Panel

Lindsey Dragun

Impactful Accessibility: The Changes that Mean the Most

Angie Jones

Your Tests Lack Vision: Adding Eyes to Your Automation Framework

Machine Learning for Front-End Developers

Machine learning for front-end developers

A typical interaction with a device or interface involves touching it. Either you’re pressing buttons on a controller, swiping on a touchscreen or clicking on your laptop’s trackpad. But what if you could control things without the use of your hands? What if you could use… your thoughts?

I have been tinkering with a brain sensor and developed an open source JavaScript framework for it to allow me (or anyone else) to control interfaces or robots using facial expressions and mental commands.

Strike a Pose: Gesture Recognition in JS with Machine Learning

More from JSConf Hawaiʻi 2020

More from Charlie Gerard