Workshop on Brain-Machine Interface Systems 2017
Tutorials - October 5th 2017
- Designing brain-computer interfaces for users with motor and cognitive disabilities.
Organizers: R. Chavarriaga (EPFL, Switzerland), M. Grosse-Wentrup (MPI Tuebingen, Germany)
One of the main motivations for BCI is to provide assistive technologies for users with sever motor disabilities. Nevertheless, most studies are currently performed with control subjects and their results translate poorly to the target population. Critically, the field lacks knowledge and methods to solve this issue. This tutorial will present state-of-the-art research oriented to advance this field and contribute to overcome this roadblock. Given the characteristics of the intended users, designing reliable systems requires careful evaluation of their requirements and capacities. Proper combination of machine learning techniques, methods for human-machine interaction and adaptive processes are necessary to adequately suit the developed systems. This tutorial will provide SMC attendees –both novice and with previous BMI expertise- with important tools to deploy and test their systems outside the research laboratories and get them closer to practical applications.
- Brain-Machine Interface Systems - Overview, Applications and Research Challenges.
Organizer: N. Robinson, K. Thomas (NTU, Singapore)
Brain-Machine Interfaces are systems that translate the user's intention coded by brain activity measures into a control signal without using activity of any muscles or peripheral nerves. These control signals can potentially be employed to substitute motor capabilities (e.g. brain-controlled prosthetics for amputees or patients with spinal cord injuries, brain-controlled wheel chair); to help in the restoration of such functions (e.g. as a tool for stroke rehabilitation), to enable alternative communication (e.g. virtual keyboard, speller etc.) for those who are disabled or otherwise unable to communicate, and other applications such as serious games for enhancing cognition skills. This tutorial will provide an overview of Brain-Machine Interface (BMI), real-world applications, methods for brain signal acquisition and their comparison, relevant Electroencephalogram (EEG) signal features for BMI and signal processing & machine learning tools for BMI. Further, the talk will cover research challenges and developments in this BMI. Further, some selected non-invasive BMI research work from our group on decoding arm movement kinematics and motor control as well as biometric identification will also be presented. The tutorial will conclude highlighting potential future BMI research topics.
ContributionsContributions to the BMI workshops are done through the SMC submission and reviewing process. To ensure that your paper gets proplerly assigned to the BMI session, be sure to select the option for BMI Workshop Regular or special session papers. In both cases, do not hesitate in informing the workshop chairs about your submission via email.
Accepted special sessionsImportant: When submitting to a special session, please be sure to enter the session code as listed here.
- Adaptive Neurotechnologies. Organizer: , R. Scherer (TU Graz, Austria)
- Advances and Novel Methodologies in Neurofeedback based Brain-Computer Interface Systems. Organizer: V.A. Prasad, Kavitha Thomas (NTU, Singapore)
- Brain-Computer Interfaces for motor, avatar and Virtual Reality control. Organizers: C. Guger (g.Tec, Austria)
- Brain-Computer Interfaces: Research in Communication, Control and Human Cognition. Organizers: C.S. Nam (North Carolina State U., USA)
- Designing brain-computer interfaces for users with motor and cognitive disabilities. Organizers: R. Chavarriaga (EPFL, Switzerland), M. Grosse-Wentrup (MPI Tuebingen, Germany)
- Machine learning and signal processing for brain and neural computer interfaces. Organizer: Dongrui Wu (DataNova, USA), R. Chavarriaga (EPFL, Switzerland)
- Multi-modal Brain Computer Interface and Physiological Computing. Organizer: V.A. Prasad, R. Neethu (NTU, Singapore)
- Neuro-Interfacing Wearable Robots: Current State and Future Steps. Organizer: Jose L. Contreras-Vidal (U. Houston, USA), J. M. Azorin (Miguel Hernández University, Spain)
- Real world applications of Brain Computer Interface systems. Organizer: V.A. Prasad, S. Kavallur (NTU, Singapore)
- Wearable BMI Technology for Thought Identification and other High Information Content Applications. Organizer:J. Libove (Furaxa Inc, USA)
Please click here to download an electronic version of the Call for Papers of the BMI workshop.