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John Qiang Gan Professor in Intelligent Systems & Robotics |
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Intelligent systems and robotics, neurofuzzy systems, learning theory and algorithms, pattern recognition, signal and image processing, data mining, brain-computer interfaces, multimedia information retrieval, information fusion.
[News: BBC]
·
AABAC: Adaptive
Asynchronous Brain-Actuated Control, funded by the EPSRC.
[Demo1: Motor imagery based Essex online BCI for
simulated robot control]
[Demo2: Self-paced motor imagery based Essex
online BCI for real robot control]
[Demo3: Self-paced motor imagery based Essex online BCI for simulated wheelchair control]
[Demo4: Self-paced motor imagery based Essex online BCI for real wheelchair control]
[Demo5: Self-paced
motor imagery based Essex online BCI for playing hangman game]
·
Intelligent RoboChair, funded by The
Royal Society.
[Demo1: Control by head gestures detected by a webcam]
[Demo2: Control by
EMG and EOG signals detected by sensors in a headband]
· Building a Fast Biped Running Robot with Biologically-inspired Neuro-mechanical Design, funded by the RPF of Essex University.
[Demo1: Biped walking robot at Essex]
Full List of Research Projects
Richard Gray, science correspondent from Sunday Telegraph, has tried our EMG/EOG-controlled wheelchair and brain-computer interface system. Read his articles and watch a video footage here and here.
Prof. Gan has developed systems and software packages for visual tracking, OCR systems for handwritten document recognition and analysis, a software package for robotic arm control. He is keen to collaborate with industry in the areas of data analysis (mining), signal processing and image processing, robotics and intelligent control systems, preferably through the KTP programme.
CE804 Digital
Signal Processing (2012-2013)
CC401/406 MSc Project and Dissertation (2002-2006)
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1999-2012 University of Essex.
This page was last modified by John Gan in September
2012