From BCI to Human Robot Augmentation
Artificial intelligence along with advances in wearable robotics and sensing systems pave the way towards embedded systems that form a natural extension of human physical abilities. Seamless integration of these systems would require the development of advanced systems that sense human intentions and mental states such as workload and fatigue.
Brain computer/machine interface (BCI/BMI) has already broken down barriers for the physically disabled, restoring the ability to communicate, enhancing rehabilitation for paretic patients and allowing control of movements for paraplegic patients that would otherwise be impossible. These systems advance our understanding of the underlying motor learning mechanisms as they alter the mapping between neuronal activity and feedback control. Furthermore, the technology has been used to assess cognitive states for mental training and attention monitoring in safety critical tasks.
This workshop aims to provide a forum to bring together neuroscientists, engineers, and healthcare practitioners from a diverse range of disciplines to present the current state-of-the-art in Brain Computer Interface research for rehabilitation and mental state assessment in critical applications. It will also present some of the major technical challenges and unmet healthcare demands that can potentially reshape the future of rehabilitation robotics and wearable devices.