The IEEE Brain Initiative is sponsoring several challenges in 2017 to explore various brain EEG datasets. The first IEEE Brain Data Bank (BDB) Challenge was held in June at St. Petersburg, as part of the IEEE SPCN 2017 Symposium. The next challenge will be held in Glasgow, Scotland, October 31, during the IEEE SENSORS Conference.
You are cordially invited to register for the challenge in Glasgow, Scotland and exercise your curiosity and creativity to make sense out of datasets.
Crown Plaza Glasgow [Barra + Jura Suite]
Glasgow G3 8QT, UK
Hotel is a 2 minute walk from the Scottish Event Campus (SEC).
We have setup a WebEx for you to hear the keynote and final project presentations remotely.
Keynote, 12:00-13:00 GMT (Glasgow)
Meeting URL: https://ieee.webex.com/ieee/j.php?MTID=me0689407513af85582b9d8176d4af65e
Meeting number (access code): 637 913 352
Project Presentation, 15:45-18:00 GMT (Glasgow)
Meeting URL: https://ieee.webex.com/ieee/j.php?MTID=m17744b5c1df696f1dd8dd847a3691107
Meeting number (access code): 638 743 414
- Nan Chu, CWLab International
If you have questions, please contact email@example.com.
Terabytes of brain EEG data are available through open source, collected from tests associated with human cognitive capability, stroke patient recovery, class learning ability, and other social environments, over a wide range of demographics. Some also play with stimulus such as audio, music, video, lights and digital games.
Figure 1 illustrates the data flow in brain signal data utilization. The 2017 IEEE BDB Challenges explore creative means to investigate already collected brain data (circled in blue – right side of Figure 1), following the 2016 Brain Initiative Hackathons, which had focused on the Brain Computer Interface (BCI – left side of Figure 1, below).
In the BDB Challenges, teams/individuals are expected to creatively demonstrate value based on their selected open source data. Open source brain data include, but are not limited to the following:
- University of California – San Francisco, NeuroRacer brain signal datasets, Nature, The International Weekly Journal of Science, doi:10.1038/nature12486, p. 97- 101, continued with notes, p.1-28, 5 Sept., 2013. The UCSF datasets are available upon request on-line from the IEEE Dataport Competition page.
- University of California – San Diego, Swartz Center of Computational Neuroscience released EEG data acquired using the Neuroscan software
- Brain/Neural Computer Interaction: Horizon 2020 – Open access BCI datasets.
All datasets to be used for the BDB Challenge must be anonymized.
NO DATA COLLECTION IS ALLOWED ON-SITE.
It is highly recommended that you have selected your datasets and begun work on your projects prior to the event date.
The challenge is to create value and/or determine usability of brain signal data. The participants will present their projects in terms of:
- Creation and/or selection criteria of the brain signal datasets
- Clarity and relevance of analysis
- Interpretation of brain signal data
- Significance of findings and recommendations
- Delivery of findings and recommendations.
The above 6 aspects will form the basis of the judging criteria. Awards decision will be final by the event Judges.
- Individual or Team (each up to 5 people per team), no age limitation
- Maximum number of participants: 50 individuals/12 teams
- IEEE members will be given priority
For More Information
Click here for additional information on the Glasgow event (PDF), including the preliminary schedule, judging criteria, awards, and references for preparation.
See the following for answers to some common questions that you might have as participants of the BDB Challenges.
- Updated Glasgow FAQ (PDF)
Contact firstname.lastname@example.org with further questions