Co-chairs
Jonghwa Kim
University of Augsburg
Germany
Pasi Karjalainen
University of Koupio
Finland
Scope and topics
The convergence of physiological sensors, signal processing, pattern recognition, machine learning, cognitive neuroscience, neurophysiology and biomedical engineering produces exciting new ideas for solving a variety of complex problems in human-machine interface and healthcare applications. During the last decades, growing interest has been aroused in exploiting electrical nature of the human nervous system for neural human-machine interfacing, using EEG, ECG, EMG, EOG, GSR, etc. In addition to the autonomic nervous signals, researchers employ extrinsic physiological channels including speech, facial expression, and gesture to approach affective human-machine interfaces. Some of these modalities can be successfully combined for human-like decision making. A fascinating fact is that such physiological measurements can also offer great potential for daily healthcare monitoring. Moreover, recently the medical mainstream recognizes the health/healing power of various environmental elements including social activity, diet and nutrition, joy and stress, family, and lifestyle. All of these aspects extend the scope of applying physiological signals to multi-disciplinary research fields. The aim of this workshop is to assemble researchers from diverse backgrounds together to discuss their ideas and solutions and to build a new vision.
The topics that will be covered include (but not limited to):
Bio-inspired Human-Machine Interfaces
- Biosignal acquisition techniques
- Biosignal-based interfacing models
- Biosensor data fusion and localization
- Biosignal analysis and classification techniques
- Speech recognition
- Facial expression recognition
- Sensor networks for intelligent interface
- Emotion and mood recognition
- Motion/gesture detection
- Brain-computer interface
- Neural human-machine interfaces
- Affective human-machine interfaces
- Neural rehabilitation methods
- Virtual methods for rehabilitation
- Neuroprosthetic applications
- Electric and magnetic neural stimulation
- Multimodal approaches for improved decision making
Healthcare Applications
- Healthcare monitoring systems
- Physiological models for interpreting biomedical sensor data
- Activity recognition and fall detection
- Wearable and implantable sensor integration
- Sensor networks for home healthcare
- Data fusion in daily healthcare environments
- Physical exercise (e.g. sports) monitoring and management
- Decision support algorithms for biosignal analysis
- Health interfaces, information visualization and feedback
- Entertainment, educational and motivational aids
- Ambient health and wellness measurement
- Applications for diabetes mellitus (special issue)
Workshop Program Committee
Elisabeth André, University of Augsburg, Germany
Egon van den Broek, University of Twente, The Netherlands
Anthony Burkitt, University of Melbourne, Australia
Giuseppe Fico, Universidad Politécnica de Madrid, Spain
Claudia Igney, Philips Research Europe, Germany
Desok Kim, KAIST, Korea
R. Benjamin Knapp, Queen's University Belfast, United Kingdom
Toshio Moritani, Kyoto University, Japan
Marimuthu Palaniswami, University of Melbourne, Australia
Alois Schlögl, Graz University of Technology, Austria
Jindong Tan, Michigan Tech University, United States
Pekka Toivanen, University of Kuopio, Finland
Publications
All accepted papers will be published in the workshop proceedings book, under an ISBN reference, and in CD-ROM support.
