TPAC2019/Demos

An opportunity to discover what other W3C groups are working on and how that works intersect with other Web technologies. This session is scheduled during the last breakout slot of the day (from 3:30pm). The following confirmed demos are:

Mini App

by the W3C Chinese Web Interest Group

Mini App examples: Alibaba Mini App, Baidu Smart Mini App, Xiaomi Quick App, Huawei Quick App, etc.
Mini App core features
Mini App lifecycle: hybrid rendering, transition animation, access to Mini App, etc.
Mini App performance and tuning
Mini App Graphics and Layout

Web monetization

Showing how Web Monetization works in the Puma Browser, based on the Interlegder Protocol. Web Monetization is proposed for incubation in the Web Platform Incubator Community Group (WICG)

WebXR

by the W3C Immersive Web Community Group

(Experimental) Using WebXR's immersive-ar for handheld augmented reality

Show demos of WebXR's proposed immersive-ar mode as currently implemented in Chrome Canary. This uses ARCore for handheld AR on an Android smartphone, including experimental APIs such as hit testing and plane detection.

Demonstrations of API implementations from multiple vendors and devices

Demonstrating some of the live code samples we've created on an Oculus Quest and Google Daydream headset.

Web of Things

by the W3C Web of Things Interest Group and the W3C Web of Things Working Group

The WoT-IG/WG would like to have its PlugFest demo to show what is done by the WoT WG/IG based on the WoT standards to all the TPAC attendees and encourage people to collaborate with the group. This time we'd like to show several different combinations of devices/applications and scenarios based on the WoT specifications. Please see also the PlugFest preparation page.

WebAuthn

by the WebAuthn Working Group

We'll show WebAuthn running across Android, Safari, Chrome, Windows, iOS. The cross-platform promise of the spec.

The benefits of Link Performance Prediction for mobile gaming

by the W3C Web & Networks IG (members from Intel, Jonas Svennebring, Jonathan Devlin).

This will demonstrate an innovative technique used to improve the quality of experience for online gaming during varying Radio Access Network conditions. Users will be able to judge for themselves, using real time game play against an opponent, the benefits of link performance prediction.

Computer Vision for the Web

by the Machine Learning for the Web CG and the WebRTC WG

With Computer Vision computers can gain high-level understanding from digital images or videos, and acquire, process analyze and understand image data. Use cases such as face and gesture tracking, background removal or blurring, or cheerful funny hats augmentation are now possible in your browser. In this demo session we showcase how these CPU-intensive applications perform under various scenarios and how they can be accelerated with neural networks and CPU parallelism, GPU, or dedicated ML hardware accelerators.

Maps for HTML Community Group - A proposal to extend HTML to include maps

by the Maps for HTML CG

Maps are everywhere on the Web. Maps and spatial information underpin many or most decisions we make, and we often don't even recognize that fact. The Maps for HTML Community Group was created in recognition of the fundamental importance of both the Web platform and spatial information, and we believe that they can and should work better together to make maps and spatial information accessible to more people than is currently possible. Our group is dedicated to exploring the ways and means of incorporating the well-understood semantics of modern Web maps into the Web platform, in order to better serve the growing needs of people to make better decisions using burgeoning open spatial information.