WritingMeta AI (Llama)Meta AI (Llama)published Aug 4, 2025seen 6d

Building a human-computer interface for everyone

Open original ↗

Captured source

source ↗
published Aug 4, 2025seen 6dcaptured 3dhttp 200method plain

Building a human-computer interface for everyone - Engineering at Meta

Skip to content

By Pascal Hartig

What if you could control any device using only subtle hand movements?

New research from Meta’s Reality Labs is pointing even more firmly toward wrist-worn devices using surface electromyography (sEMG) becoming the future of human-computer interaction.

But how do you develop a wrist-worn input device that works for everyone?

Generalization has been one of the most significant challenges in the field of human-computer interaction (HCI). The machine learning models that power a device can be trained to respond to an individual’s hand gestures, but they struggle to apply that same learning to someone else. Essentially, novel HCI devices are usually one-size-fits-one.

On the latest episode of the Meta Tech Podcast, Pascal Hartig sits down with Sean B., Lauren G., and Jesse M. — research scientists on Meta’s EMG engineering and research team — to discuss how their team is tackling the challenge of generalization and reimagining how we interact with technology.

They discuss the road to creating a first-of-its-kind, generic human-computer neuromotor interface, what happens when software and hardware engineering meet neuroscience, and more!

Download or listen to the episode below:

You can also find the episode wherever you get your podcasts, including:

Spotify

Apple Podcasts

Pocket Casts

The  Meta Tech Podcast  is a podcast, brought to you by Meta, where we highlight the work Meta’s engineers are doing at every level – from low-level frameworks to end-user features.

Send us feedback on  Instagram ,  Threads , or  X .

And if you’re interested in learning more about career opportunities at Meta visit the  Meta Careers  page.

Share this:

Share on Facebook (Opens in new window) Facebook

Share on Threads (Opens in new window) Threads

Share on WhatsApp (Opens in new window) WhatsApp

Share on LinkedIn (Opens in new window) LinkedIn

Share on Reddit (Opens in new window) Reddit

Share on X (Opens in new window) X

Share on Bluesky (Opens in new window) Bluesky

Share on Mastodon (Opens in new window) Mastodon

Share on Hacker News (Opens in new window) Hacker News

Email a link to a friend (Opens in new window) Email

Read More in AI Research

View All

-->

Available Positions

UX Researcher, Quantitative

MENLO PARK, US

UX Researcher, Quantitative

SEATTLE, US

UX Researcher, Quantitative

NEW YORK, US

UX Researcher, Quantitative

REMOTE, US

AI Research Engineer - Social Products (Technical Leadership)

BELLEVUE, US

See All Jobs

Technology at Meta

Engineering at Meta - X

Follow

AI at Meta

Read

Meta Quest Blog

Read

Meta for Developers

Read

Meta Bug Bounty

Learn more

RSS

Subscribe

Open Source

Meta believes in building community through open source technology. Explore our latest projects in Artificial Intelligence, Data Infrastructure, Development Tools, Front End, Languages, Platforms, Security, Virtual Reality, and more.

ANDROID

iOS

WEB

BACKEND

HARDWARE

Learn More

To help personalize content, tailor and measure ads and provide a safer experience, we use cookies. By clicking or navigating the site, you agree to allow our collection of information on and off Facebook through cookies. Learn more, including about available controls: Cookie Policy

Accept

Notability

notability 6.0/10

Notable research post from Meta AI