Hou-Teng Hsu and N. Nan Chu of NCU collecting EEG data at SPCN-2018
Background of BDBC-2020
- BDBC stands for Brain Data Bank Challenges sponsored by the IEEE Brain since 2017, https://brain.ieee.org/competitions-challenges/
- Although BDBC-2020 will be the 9th occurrence, it will be self-funded to celebrate the 5th International Conference on SPCN (Signal Processing in the Context of Neurotechnology,) with joint resources from the original Organizer’s Circle, National Central University of Taiwan and the Pavlov Institute of Physiology. St. Petersburg, Russia.
- The goal of BDBC has been: to spread neuroscience benefits across the Internet for user-friendly access of brain-computer interface and brain image data analytics, with experiments to test work in progress, to share investigation insights, and to introduce capabilities to consumers quickly, particularly in light of affordable brain headsets, wearable sensors, virtual reality manifestation, AI/neural network modeling, in the ultimate utilization of open-source, massive, scattered EEG, fMRI, fNIRS and other related datasets.
BDBC-2020 focus on Brain Aging Image – extending from Past Presentations
- While a BCI Hackathon will also take place at SPCN in St. Petersburg, a BDBC presentation is not meant work hatched on-site in a day, rather work in progress for a period (6 months or longer,) scrutinizing brain datasets for detection or prediction of the Aging Brain.
- Students, faculty and entrepreneurs with multi-facet research interests in neuroscience have formed interdisciplinary teams to compete in past BDBC events. Former top contestant’s projects are shown below as thoughts for new entries:
- 2017 – Multi-user, multi-modal physiological sensing
- Multi-user Motor Imagery BCI for Cooperative and Competitive Interaction
- Readability Analysis based on Cognitive Assessment using Physiological Sensing – Comprehension Assessment
- 2018 – Machine Learning to improve brain dataset performance
- Brain Insight – 3D Display of Brain Reacting to NeuroRacer– 6 months after and 6 years after, for Aging Multi-tasking Performance Assessment
- 2019 – Artificial Intelligence/Neural Networking
- AI and Advanced Signal Processing: Accurate Classification of Epileptic Brain States
- High-Performance, High Resolution Brain Network Analysis using Graph-centric Metrics
Figure 1 and 2 – Medical Imaging and NeuroEngineering Laboratory, NCU