Brain-Computer Interface Workshop

UTS Tech Festival 2024: Innovate and Compete in a Brain-Controlled Drone Race Challenge

Mon 17th June 2024, 10:00 am - 6:00 pm AEST

About Workshop

We are pleased to invite you to the hands-on workshop on Brain-Computer Interface (BCI), followed by an exciting BCI drone race competition.

This workshop aims to provide practical experience in designing and developing real-time Brain-Computer Interfaces (BCIs) using electroencephalogram (EEG) technology. It also promotes using open-source tools and practices to enhance community collaboration and advance BCI development. The workshop will conclude with a competition to develop BCI-based controls for a drone race, offering exciting prizes for the winners.

You will experience numerous Brain-Computer Interfaces example, coding sessions, model demonstrations and real-time hands-on activities with neurophysiological devices (wearable EEGs), followed by the first exciting drone race competition powered by BCI technology.

When:

Monday, June 17th 2024 from 10:00 AM - 6:00 PM

Register here to secure your seat

Where:

Building 11, Level 00, Room 100

Who:

  • BCI researchers
  • Students of all stages (graduate, Ph.D., postdocs, faculties) from the Neuroscience and Computational Intelligence community
  • Industry and research partners
  • Anyone else who is interested and basic knowledge of programming

Workshop Outline

  • Learning and Building Brain-Computer Interface [10:00 AM - 12:30 PM]
    • 10:00 AM - 10:30 AM: BCI Intro and Examples
    • 10:30 AM -11:15 AM: BCI with Google Collab
    • 11:15 AM - 12:00 PM: Building Real-Time BCI
    • 12:00 PM- 12:30 PM: Flash Talks
  • Lunch [12:30 PM - 1:15 PM]
  • BCI Drone Race Competition [1:30 PM - 5:00 PM]
    • 1:30 PM - 1:45 PM: Competition intro
    • 1:45 PM - 4:00 PM: Competition Start
    • 4:00 PM - 5:00 PM: Drone Race
  • Result and Networking [5:00 PM - 6:00 PM]
    • 5:00 PM - 5:10 PM Results announcement
    • 5:10 PM - 6:00 PM Pizza and Networking

(for hands-on setup, please bring your own laptop)

Recommended background

  • Basic knowledge about EEG based BCI and machine learning
  • Basic knowledge in programming such as Python

Supported by:

Symbiotic Devices Australia and Transhuman Coin

Got a question :

Please email to organiser Dr Avinash Singh at avinash.singh@uts.edu.au.

Organisers:

Main Organiser

Dr Avinash K Singh

Neuroadaptive Brain Computer Interface and Applied Machine Learning Researcher

Dr Howe Zhu

Brain Computer Interface and Mixed Reality Researcher

BCI Paradigms

Raymond Chia

Machine Learning Researcher

Minh Nguyen

Brain Computer Interface Researcher

Yangyulin Ai

Hybrid Brain Computer Interface Researcher

Co-Contributor

Rachel Coster

Multi-Agent Path Finding and Scalable Algorithm Optimisation Researcher

Web Development

Yangyulin Ai

Hybrid Brain Computer Interface Researcher

Flash Talk Speakers

A/Prof Kiley Seymour (UTS)

Neuroscientist and privacy advocate

Peter Xing

Data & AI Specialist in the Public Sector team at Microsoft

Paddy Heaton

UTS Game Lab