IEEE Consumer Electronics Magazine - March 2018 - 11

The mentioned bandwidth maximizes
the recognition accuracy. This range
allows analyzing alpha rhythm synchronization in a wider range than
the normal alpha rhythm frequency.
Team Vostok experimented with different features (discrete Fourier transform, fast Fourier transform, Pwelch),
but the best results were obtained with a
raw signal. It used linear support vector
machine as a classifier, which appeared
to provide 3% more accurate recognition than multiclass linear regression.
Table 1 summarizes the results of recognizing directions of covert shift of
attention for different participants).
The obtained results allowed the
team to proceed to the task of creating
automatic image-labeling BCI that could
help in merging the capabilities of the
operator and the computer. The next step
toward the technology suggested fusing

the EEG prediction with estimations by
other sensors (such as eye-tracking systems) to increase the overall accuracy.

HiGHliGHts fRoM
st. PEtERsbURG
Highlights of the first IEEE Brain Initiative BDB Challenge event in St. Petersburg are captured in Figures 3-7. For
more detailed information and competitions at other locations, contact the BDB
Challenge chair at narisa.chu@ieee.org.
-Narisa Nan Chu, Konstantin Glasman,
and Yury Shelepin

REfEREnCEs
[1] M. S. Treder, et al., "Brain-computer interfacing using modulations of alpha activity
induced by covert shifts of attention," J. Neuro.
Rehab., vol. 8, no. 24, p. 2011.
[2] V. P. Oikonomou, G. Liaros, K. Georgiadis,
E.t Chatzilari, K. Adam, S. Nikolopoulos, and

I. Kompatsiaris, "Comparative evaluation of
state-of-the-art algorithms for SSVEP-based
BCIs," Tech. Rep., 2016. [Online]. Available:
https://pdfs.semanticscholar.org/d68f/4ab5b27
18a7439d64b805eb7eef379574f9a.pdf
[3] University of California San Francisco,
"NeuroRacer brain signal datasets," Int.
Weekly J. Sci., pp. 97-101, pp. 1-28, Sept.
2013.
[4] University of California San Diego, Swartz
Center of Computational Neuroscience.
[Online]. Available: ftp://sccn.ucsd.edu/pub/
arno_public_data, http://bnci
[5] [Online]. Available: horizon-2020.eu/
database/data-sets
[6] IEEE. (2017). Brain data bank challenges
& competitions. IEEEbrain. [Online]. Available: https://brain.ieee.org/news/brain-databank-competitions/
[7] [Online]. Available: https://yadi.sk/i/x1ti5BP3KUkPf
[8] T. Hastie, R. Tibshirani, and J. Friedman,
"Random forests," in The Elements of Statistical
Learning: Data Mining, Inference, and Prediction, 2nd ed. New York: Springer-Verlag, 2009,
ch. 15, p. 746.

Hong Kong Chapter Organizes Successful
Smart-City Workshop

n 27 October 2017, the IEEE
Consumer Electronics Society
Hong Kong Chapter hosted the
one-day workshop, "Success of
Smart Cities: Harmonization, Standardization, and Compatibility" (WW2017),
in Hong Kong, with Dr. Robin Bradbeer
and Dr. Kim Fung Tsang as the general
chairs. The workshop focused on the
practical use of the Internet of Things
(IoT) for smart cities, discussed the
challenge, and explored implementations that translate value for citizens of
a smart city. The workshop was financially sponsored by China Mobile Hong
Kong and Thinxtra and supported by
five local professional organizations.

Digital Object Identifier 10.1109/MCE.2017.2776445
Date of publication: 8 February 2018

The participants in the smart-city workshop.

Roughly 100 people attended the workshop. Coffee and lunch were provided,
and the event was free thanks to the
generosity of the sponsors.

The WW2017 workshop began with
two keynote speeches. First, William J.
Miller, Maximum Control Technologies
president and IEEE P1451-99 chair,

march 2018

IEEE Consumer Electronics Magazine

https://pdfs.semanticscholar.org/d68f/4ab5b2718a7439d64b805eb7eef379574f9a.pdf ftp://sccn.ucsd.edu/pub/arno_public_data http://bnci-horizon-2020.eu/database/data-sets ftp://sccn.ucsd.edu/pub/arno_public_data http://bnci-horizon-2020.eu/database/data-sets http://bnci-horizon-2020.eu/database/data-sets https://brain.ieee.org/news/brain-data-bank-competitions https://brain.ieee.org/news/brain-data-bank-competitions https://yadi.sk/i/x1t-i5BP3KUkPf https://yadi.sk/i/x1t-i5BP3KUkPf

Table of Contents for the Digital Edition of IEEE Consumer Electronics Magazine - March 2018