Tuesday 23rd June 2015; Half day (AM)

Workshop Aims:

Brain Computer Interface (BCI) forges a direct, online communication between brain and machine, independent from the user’s physical abilities and represents a new way to augment human capabilities. They translate the user’s intentions into outputs or actions by means of machine learning techniques. BCI operates either by presenting a stimulus to the operator and waiting for his/her response (synchronous), or continuously monitoring the operator’s cognitive activity and responding accordingly (asynchronous). BCI can otherwise be classified as active, reactive and passive. Active BCI derives its outputs from brain activity, which is directly and consciously controlled by the user, not necessarily depending on external events, for controlling an application. Reactive BCIs are used for sending commands by focusing on specific stimuli provided by the system that evoke known brain responses when perceived. Passive BCI is a relatively newer concept, which derives its outputs from arbitrary brain activity arising without the purpose of voluntary control, for enriching human-machine interaction with implicit information on the actual user state. Recent developments in sensing and wireless technologies, as well as signal processing and machine learning methods allow for real-time cognitive state monitoring of mental workload, mental fatigue and attention in real world settings, which are particularly useful for passive BCI.      

Topics to be covered:

The workshop will focus on perceptual, motor and rehabilitative activities in un-restricted environments, typically involving relatively complex tasks, based on electroencephalography (EEG), functional near infrared spectroscopy (fNIRS), and video-oculography. Our aim is through the development of BCI technologies to improve safety in human-robot interactions, improve complex skills training (such as in surgery) and workflow analysis, enhance neuro-rehabilitation strategies, and explore the latest developments in assistive technologies for the ageing population.

  • Human Robot Interaction
  • Perception and Neuro-ergonomics
  • Neurocognitive Rehabilitation

Program and Invited Speakers



Workshop Schedule  




Daniel Leff, Imperial College London, UK 






Session 1 - Brain Robot Interaction and Neurorehabilitation  






Decoding Dexterity: Controlling a Brain Machine Interface with Signals across Scales [Video link from Singapore] 

Nitish Thakor, Neuroengineering & Biomedical Instrumentation Lab, Johns Hopkins University, USA 






Towards Brain-Computer Interface Based Robot-Mediated Gait Rehabilitation 

Reinhold Scherer, Graz Lab, Graz University of Technology, Austria 






Neural Reorganisation Avenues Following Motor Virtual Rehabilitation After Stroke Felipe Orihuela-Espina, INOUE, Mexico 






Session 2 - Neurotechnology and Human Computer Interaction 






The Design of Interactive Systems Utilizing Real-Time Brain and Body Input 

Erin Solovey, College of Computing and Informatics, Drexel University, USA 






Seeing is Moving 

Aldo Faisal, Department of Bioengineering, Imperial College London, UK 






Tea and Coffee Break 






Session 3 - Neuroergonomic Assessment in Surgeons 






Understanding Surgical Performance during Robot Assisted Surgery: Piercing the Hornet's Nest 

Khursid Guru, Rosswell Park Cancer, New York, USA 






A Decade of Functional NeuroImaging in Surgeons: What Have We Learned and What Might the Future Hold? 

Daniel Leff, Hamlyn Centre, Imperial College London, UK 






Studying the Neuroergonomic Health Effects of Operating with Robotics 

George Piligian, Icahn School of Medicine at Mount Sinai, USA 






Session 4 - Current Challenges and Future Trends in BCI 






A Wearable Continuous Wave fNIR System to Monitor Brain Activity in Clinical and Field Settings 

Kurtulus Izzetoglu, Drexel University, USA 






Brain-Machine Interfaces: The Perception-Action Closed Loop  

José del R. Millan, EPFL | École Polytechnique Fédérale de Lausanne, Switzerland 






Expanding Vistas in Brain Computer Interfacing: Continuous Monitoring of Brain Dynamics with fNIRS  

Hasan Ayaz, Drexel University, USA 






Closing Remarks 




Organising Committee

  • Khurshid Guru, Roswell Park Cancer Institute, USA
  • Javier Perez Andreu, Imperial College London, UK
  • Daniel Richard Leff, Imperial College London, UK