25 Jul 2013
UM students win first prize and first runner-up prize at IEEE Student Project Competition 2013

First prize winner Janir Nuno da Cruz (left)
競賽冠軍得主Janir Nuno da Cruz(左)

First runner-up Lao Ka Fai (left)

Two undergraduate students of the Department of Electrical and Computer Engineering, Janir Nuno da Cruz (Janir) and Lao Ka Fai (Kevin) won the First Prize and the First Runner-up Prize in the IEEE Student Project Competition 2013, Macau. Their projects “Adaptive Time-Window Length and Patterned Visual Stimuli for Enhancement of SSVEP-based BCI Performance” and “Extensions and Modifications of CCA in SSVEP-based BCIs” were both supervised by Dr. Wan Feng..

People with disabilities are challenged every day by barriers to communication and independent living. By analyzing the signals produced due to brain activities, Brain Computer Interfaces (BCIs) can provide an alternative channel that does not depend on peripheral nerves and muscles, between human and environment for communication and control. Both projects aimed to enhance the performance of Steady State Visual Evoked (SSVEP)-based BCIs, which are comparatively mature and widely used as spellers or to control a wheel chair due to their good usability and high information transfer rate. With an online performance measure proposed and patterned visual stimuli designed, Janir's project concentrates on developing and implementing a high performance user adaptive SSVEP-based BCIs, while, Kevin's project is in an effort to improve and extend the Canonical Correlation Analysis (CCA) algorithm, the best available method in SSVEP-based BCIs, for a better classification accuracy and wider applicability.

The competition was held in Macau University of Science and Technology on 25 May 2013. This year’s competition attracted 10 teams from Hong Kong and Macau. Aiming at promoting science and technology, the competition provided a good opportunity for knowledge and experience exchange among students from different universities.



澳大學生Janir Nuno da Cruz 憑藉專案“基於自適應時窗及模式化視覺刺激的視覺誘發電位的腦機接口”獲第一名,另一位澳大學生劉家輝則以專案“基於典型相關分析算法的穩態視覺誘發電位的腦機接口的擴展和改進”獲得第二名。兩名得獎者的指導老師皆為澳大電機及電腦工程系助理教授萬峰博士。

腦機接口為一項透過分析腦部活動產生的信號,讓人腦與電腦之間建立直接連線的技術。透過這項技術,使用者無須使用其末稍神經及肌肉,即可直接控制外界的設備,這有望解決殘疾人士長期以來都面對着的諸如溝通及獨立生活等的問題。目前在腦機接口領域中,基於穩態視覺誘發電位的腦機接口是比較成熟且具備較高性能的一個項目,可以實現如拼字,操作輪椅等的應用。兩位獲獎學生的目標都是提高現有穩態視覺誘發電位的腦機接口的性能。Janir Nuno da Cruz的專案透過在線的性能測量及利用特殊的視覺刺激,開發出一種高性能的使用者自適應腦機接口。而劉家輝的專案則對現有基於穩態視覺誘發電位的腦機接口中最佳的算法(典型相關分析算法)進行改進及擴展,從而提升其分類精度並為算法帶來更廣泛的應用。