Humanoid Animation Competition – Web3D 2026

Sponsored by Korean Standards Association . Win cash prizes up to $1,200

Prizes
- KSA: “Korean Standards Association” FIRST PLACE (prize US $1,200)
- KSA: “Korean Standards Association” SECOND PLACE (prize US $1,000)
- KSA: “Korean Standards Association” THIRD PLACE (prize US $500)
The Web3D Conference is the major venue where people from academia and industry get together to show state of the art technologies and share new ideas about 3D and the web. We believe it is a great opportunity to make your creative work visible in the right place.
Winners will be announced during the conference and will have the opportunity to present their work to the audience in a short talk.

Your composition must include:

You may also use the design method of an HAnim character using 3ds MAX (this video shows how).

The HAnim wrl to x3d conversion tool can help with model upgrades and integration.

This year’s edition of the HAnim contest allows two types of submission:

A 90 to 120 seconds music video showing a musical performance
A 10 to 20 seconds music video showing a fashion catwalk (Web3D 2021 special, inspired by Digital Fashion in the Web Special Track)

In both cases, the submission must include:

The associated X3D files and media files
Proof of license for royalty-free music
A completed contest entry summarizing your submission. Details include: title, author, a summary about the characters (max three lines), and 1-2 representative snapshot images. Competition details are maintained on the Web3D mailing lists and the Web3D Consortium website

To submit, please go to the submission page.

HAnim (Humanoid Animation) 3D Animated Music Video Competition is supported by KSA: “Korean Standards Association” and Web3D Consortium.

Each submission will be judged on the following:

Winners will be contacted by Web3D 2025 conference organizers.

All questions about submissions should be emailed to program2025@web3d.org.

Links to get started:

X3D Graphics Files:

Laboratory Manager, College of Science and Engineering, Hamad Bin Khalifa University (HBKU), Qatar

Holds a PhD in Computer Science and Engineering (HBKU, 2024), an MSc in Data Analytics (HBKU, 2021), a BS in Computer Science (AUCE, 2018), and a BS in Mathematics (LIU, 2020).
Research focuses on human–computer interaction, AI and machine learning, and computer vision for autism, including eye-tracking, pose estimation, and object detection in play-based and learning contexts.
Leads and contributes to projects on joint engagement, preference assessment, and inclusive assessment for autistic learners, often combining sensing technologies, VR, and learning analytics.
Has published in venues such as CoDesign, Frontiers in Education, International Journal of Human–Computer Interaction, JMIR, BCS HCI, and LNCS (HCII/INTERACT).
Recipient of the Mada Innovation Award (2022) for the MAAN accessibility-focused application.
Experienced educator and tutor in mathematics and computer science, and teaching assistant for courses on ICT accessibility and statistics for science and engineering.
Actively serves as a reviewer and collaborator on interdisciplinary projects spanning autism, inclusive technology, AI, and education.