Chairs
Dinesh Kant Kumar
School of Electrical and Computer System Engineering, RMIT University,
Melbourne, Australia
Hugo Gamboa
Escola Superior de Tecnologia de Setúbal,
Setúbal, Portugal
Workshop Background and Goals
Biological signals have become present in a wide range of applications
based on several areas related to signal acquisition and signal
classification. These types of signals have constructed a multidisciplinary
view where experts from life sciences join the engineering producing
some of the most notable present time systems working in the limits
of the human research. We have seen the opening of fertile new
areas discovering and explaining some of the complexity of the
human being, uncovering part of the mysteries of our body, brain
and genetic code. Our first edition of the workshop in Biosignal
Processing and Classification, aims to join the multidisciplinary
views of scientist that are producing insight work in the fields
related with Biosignals.
Topics of interest include, but are not
limited to:
Biosignal analysis and interpretation:
- EEG, EP, EVP
- EMG, sEMG, Facial EMG
- ECG, BP, IBI, HRV
- SK
- Plethysmograph, Respiration measure
- EOG, ERG, Eye gaze
Biosignal processing techniques:
- Statistical techniques
- Independent Component Analysis
- Time domain approaches
- Frequency domain approaches
- Wavelet based analysis
- Biosignal feature extraction
Biosignal classification techniques:
- Supervised classification techniques
- Unsupervised classification techniques
- Artificial Neural Networks
- Wavelet Networks
- Syntactic approaches
Biosignal systems:
- Acquisition techniques
- Handheld systems
- Unimodal dedicated systems
- Multimodal systems
- Wireless transmission of biosignals
- Biometric systems based on biosignals
Biosignal applications areas:
- Health monitoring
- Human Computer Interaction
- 2D and 3D Medical Imagining
- Performance in sports using biosignals
- Rehabilitation using biofeedback
- Music, arts and entertainment
- Biosignals in assistive technologies
- Affective state detection
- Stress detection
- Cognition Overload
Invited Speakers
- Prof. Kevin Warwick, University of Reading,
U.K.
Brief Bio:
Kevin Warwick is a Professor of Cybernetics at the University
of Reading, UK where he carries out research in artificial intelligence,
control, robotics and cyborgs. He is also Director of the University
TTI Centre, which links the University with SME's and raises over
£2 million each year in research income. Kevin was born in Coventry,
UK and left school to join British Telecom, at the age of 16.
At 22 he took his first degree at Aston University, followed by
a PhD and research post at Imperial College, London. He subsequently
held positions at Oxford, Newcastle and Warwick Universities before
being offered the Chair at Reading, at the age of 32. As well
as publishing over 400 research papers, Kevin has appeared, on
3 separate occasions, in the Guinness Book of Records for his
robotics and Cyborg achievements. His paperback 'In the Mind of
the Machine' considered the possibility of machines in the future
being more intelligent than humans. His recent Cyborg experiments
however led to him being featured as the cover story on the US
magazine, 'Wired'. Kevin has been awarded higher doctorates both
by Imperial College and the Czech Academy of Sciences, Prague.
He was presented with The Future of Health Technology Award in
MIT and was made an Honorary Member of the Academy of Sciences,
St. Petersburg. In 2000 Kevin presented the Royal Institution
Christmas Lectures, entitled "The Rise of the Robots".
Workshop Program Committee
Allan Kardec Barros, University of Sao Luiz,
Brazil
Jim Bezdek, University of Florida, U.S.A
Vince D. Calhoun, Yale University, U.S.A.
Alberto Cliqute, University of Sao Paulo, Brazil
Ana Fred, Instituto Superior Técnico, Portugal
E. Gaura, Coventry University, U.K.
Jayadeva, IIT Delhi, India
Dinesh K. Kumar, RMIT University, Australia
Jan Larsen, Denmark Tech University, Denmark
Yee Hong Leung, Curtin University of Technology,
Australia
Hung T. Nguyen, University of Technology, Australia
Jussi Parkkinen, University of Joensuu, Finland
Serge H. Roy, Boston University, U.S.A.
António Veloso, Faculdade de Motricidade Humana,
Portugal
Hans Weghorn, University of BA in Stuttgart,
Germany
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