Biological movement research has sought to characterize stereotyped features to identify, describe, and understand movements and mechanisms of motor control in both health and disease. But we can often recognize individuals by the way they move; and differences in motor control and movement are influenced by prior experience, training, personality, and disease mechanisms. What is to be gained by looking past regularities in movement across individuals and understand aspects of movement and motor control unique to individuals? To what extent is data considered to be the "same" through one lens, but "different" through another? What are the techniques that allow us to identify and characterize stereotypy versus individuality to help us understand normal and impaired movement?
Our speakers will explore these and other related questions using methods from biomechanics, neural control of movement, and machine learning and by addressing basic science, technology development and clinical questions. Each speaker will deliver a bold and provocative 10-minute talk to sketch the current boundareis of the field and chart its future developments. Ample time will be set aside for moderated questions and discussion.
Dr. Lena Ting (Emory Uniiversity & Georgia Institute of Technology)
Dr. Trisha Kesar ( Emory University)
Monica Daley, PhD (Univerisity of California, Irvine)
Gordon Berman, PhD (Emory University)
Gelsy Torres-Oviedo, PhD (University of Pittsburgh)
Nidhi Seethapathi, PhD (University of Pennsylvania)
Jose L. Contreras-Vidal, PhD (University of Houston)