Keynote speaker [Machine learning for assistive technology]

Summary form only given, as follows. Assistive technologies (AT) are created to help people with disabilities participate more effectively and independently in all aspects of society. Simple assistive technologies would be crutches and manual wheelchairs. Complex assistive technologies include smart homes, navigation systems, prompting systems and brain-computer interfaces for numerous activities including wheelchair control. There is an increasing trend to use machine learning as a key component in a variety of assistive technology applications. In this talk we will survey current ML applications for AT, discuss the challenges that this application domain presents and discuss future research possibilities.