Biography
Dr. Chris S. Crawford is an Associate Professor at the University of Alabama’s Department of Computer Science. He directs the Human-Technology Interaction Lab (HTIL). His research focuses on human-robot interaction and Brain-Computer Interfaces (BCIs). He has investigated systems that provide computer applications and robots with information about a user’s cognitive state. He previously developed a brain-drone racing system that was featured on over 800 news outlets including Discovery, USA Today, and the New York Times, and Forbes. Along with investigating brain-robot interaction applications, Dr. Crawford also developed Neuroblock, a tool designed to engage K-12 student in neurofeedback applications development. He recently won an NSF CAREER award for his research.
Talk: Exploring Robotics and Physiological Computing with Modern Web-Technologies
Abstract:
Brain-Computer Interface (BCI) systems convert central nervous system (CNS) activity to artificial output that is then used to replace, restore, enhance, supplement, or improve natural CNS output. BCI functions by acquiring brain signals, identifying patterns, and producing actions based on the observed patterns. This process allows users to interact with their environment without having to use their peripheral nerves and muscles. Output produced by a BCI system can be used to interact with systems ranging from wheelchairs to UAVs.
In this talk, Dr. Crawford will discuss his physiological computing research that examines the use of BCI to engage students and explore novel system designs. This presentation will also cover his work investigating the integration of block-based programming (similar to scratch) with sensors that measure muscle and brain activity.
