Dev Depot: Headtrackr Provides Unique Possibilities For Motion Control

Microsoft’s Xbox Kinect, Nintendo Wii and Sony’s PlayStation Move all use motion-sensing game controllers to provide an added dimension of user engagement and “fun” to the game play of formerly thumb-bound fans, forced to use a hand-held game controller. Apple’s iPhone ushered in the widespread use of gesture controls, such as swiping or pinching and pulling a screen, as well as shaking the device to initiate software behaviors.

Now, forward looking web developers are moving beyond the mouse and keyboard to embrace innovative, sometimes “hands free” methods, of providing full user control over the computing and display environments.

Now, forward looking web developers are moving beyond the mouse and keyboard to embrace innovative, sometimes “hands free” methods, of providing full user control over the computing and display environments.

If this seems like the kind of cutting edge component that you would like to add to your website, then headtrackr (www.github.com/auduno/headtrackr/), a JavaScript library for real-time face tracking and head tracking via webcam, provides unique possibilities worthy of exploration.

Links from the depository provide additional information on the algorithms and tools, as well as the science behind the technology, providing for interesting further reading, such as the guide at https://dev.opera.com/articles/view/head-tracking-with-webrtc/.

The headtrackr script uses the WebRTC/getUserMedia standard, supporting browsers able to stream video and audio content directly from native devices, such as a webcam.

According to developer Audun Mathias Øygard, one rather exciting use for WebRTC is head tracking — detecting the movement of the user’s head (or other appendages) in relation to a webcam — which in turn allows developers to create gesture-based controls.

Øygard cites FaceKat (www.shinydemos.com/facekat/), an Opera 12 release demo employing head tracking as an example of the technology, noting that Opera 12 was the first desktop browser to support camera access via the getUserMedia API. There is also a video showcasing the technology at https://player.vimeo.com/video/44049736 that might give you an idea of its potential.

The demo and actual production examples are best when used with a laptop that has a builtin camera and a browser that has camera webRTC/getUserMedia support (you can see the overview of browsers supporting getUserMedia at https://caniuse.com/stream).

Better results are obtained when the user’s face is evenly lighted and looking ahead.

Using this technology is as simple as downloading the minified headtrackr.js library and including it on a webpage, just as with any other JavaScript, i.e. using HTML 5:

<script src=?headtrackr.js?></script>

To implement the script, the following code initiates the headtrackr using a video element to contain the mediastream and a canvas element to copy the videoframes to:

<canvas id=?inputCanvas? width=?320? height=?240? style=?display:none?></canvas>
<video id=?inputVideo? autoplay loop></video>
<script>
var videoInput = document.getElementById(?inputVideo?);
var canvasInput = document.getElementById(?inputCanvas?);
var htracker = new headtrackr.Tracker();
htracker.init(videoInput, canvasInput);
htracker.start();
</script>

Once the headtracker script is initiated, it will regularly generate the JavaScript events headtrackingEvent and facetrackingEvent on the relevant document, allowing coders to program various interactions between the site and its visitors, based on where they look.

“The event headtrackingEvent has the attributes x, y, z, which tells us the estimated position of the users head in relation to the center of the screen, in centimeters,” Øygard explains. “The event facetrackingEvent has the attributes x, y, width, height and angle, which tell us the estimated position and size of the face on the video.”

This allows users to either create an eventlistener to handle these events, or if using the three.js script, one of the pre-packaged controllers from this library could be used to create pseudo-3D images, also known as “head-coupled perspective” effects.

Related:  

Copyright © 2026 Adnet Media. All Rights Reserved. XBIZ is a trademark of Adnet Media.
Reproduction in whole or in part in any form or medium without express written permission is prohibited.

More Articles

profile

BranditScan's Aerie Saunders on Fostering Creator Knowledge, Confidence and Community

Aerie Saunders is firmly in her season. When she sits down with XBIZ, a fall-scented WoodWick candle burns in the background, pumpkins decorate her desk and the first signs of spooky season are already on display. Not that Saunders waits until autumn to embrace the macabre.

Jackie Backman ·
opinion

What Mastercard's Scam Monitoring Program Means for Adult Merchants

Mastercard's Scam Merchant Monitoring Program (SMMP) has introduced a new, investigation-led framework that works very differently from the ratio-based chargeback programs the industry has relied on for years. It applies to card-not-present merchants globally, and Mastercard's guidance on business models warranting closer attention includes adult content and dating platforms, along with subscription services, digital goods and forex.

Len Garcia ·
opinion

Why the Right Merchant Category Code Matters for NSFW AI Businesses

You explained exactly what your NSFW AI business does to your payment processor and they seemed to get it. The underwriting process felt thorough and exhausting, but it was well worth it because you began processing.

Jonathan Corona ·
opinion

How Local Payments Can Expand Access and Reduce Friction at Checkout

Global adult platforms often enter new markets with a familiar assumption: If their checkout accepts major cards, they're ready for local customers. In reality, payment habits vary widely by country. Dutch consumers use iDEAL for online shopping, BLIK is a leading e-commerce payment method in Poland, and India's UPI handles billions of transactions each month.

Mitch Platt ·
opinion

How Detailed Receipts Build Consumer Trust and Reduce Chargeback

When was the last time you bought something online? Chances are you looked for the confirmation almost immediately. Did the transaction go through? Does it show what you bought? Were you charged correctly? And if there's a problem, who can you contact?

Cathy Beardsley ·
opinion

What Adult Platforms Should Know About the EU AI Act

The European Union's Artificial Intelligence Act is now largely in force, creating new obligations for adult platforms using AI for content creation, performer verification, age estimation, moderation and other functions.

Corey Silverstein ·
profile

Verifymy's Emma Robert-Tissot on Putting People at the Heart of Online Safety

Warm, friendly and always happy to help, Emma Robert-Tissot has a gift for making even the most complex corners of online safety feel approachable.

Jackie Backman ·
profile

YourVids' Gino on Listening, Learning and Putting Creators First

Get Gino talking about the work creators pour into their careers, and his passion quickly becomes contagious. He deeply appreciates the people powering the business and has firm ideas about what they deserve in return.

Jackie Backman ·
profile

Vendo CEO Mitch Platt Reflects on 20 Years of Lessons and Evolution

More than 20 years ago, three entrepreneurs in Barcelona began gathering over beers to pitch, dissect and routinely destroy one another's business ideas. The ritual was simple: One person arrived with a concept, while the other two tried to expose every weakness. Any proposal that survived earned another look. Most did not.

Jackie Backman ·
opinion

How to Avoid the Hidden Risks of AI-Generated Legal Documents

Artificial intelligence can write a contract in seconds, but that does not mean it can write the contract your business actually needs. Across the adult industry, operators, creators and producers are increasingly using generative AI to prepare model releases, performer agreements, privacy policies, takedown notices, employment documents and responses to regulators. The appeal is obvious: Legal work is expensive, AI is fast and the resulting document often looks impressively professional. That polished appearance is exactly what makes the practice dangerous.

Corey Silverstein ·
Show More