The wearable technology field is expected to grow at a rate of 18% year-over-year in the next 5 years. Emerging applications in wearable robotics include active prostheses, exoskeletons, and soft exosuits for rehabilitation, personal assistance, and performance augmentation. On the other hand, new wearable sensors have been developed to measure biomechanical or physiological variables, with applications in human motion analysis and classification, diagnosis and digital phenotyping, injury prevention, human-machine interaction as well as virtual and augmented reality.
This talk is organized into two parts. First, we will introduce new adaptive controllers for a powered orthosis designed to assist recovery of walking function in patients with hemiparesis. Then, we will discuss how the vast expressive power of learning-based models can be leveraged to extract accurate kinematic and kinetic gait parameters from noisy data measured by foot-worn sensors during out-of-the-lab walking and running tasks, and how these methods have been used to characterize gait in several clinical populations.
Damiano Zanotto is an Assistant Professor of Mechanical Engineering at Stevens Institute of Technology (Hoboken, NJ), where he directs the Wearable Robotic Systems Laboratory. He received his B.S. and M.S. degrees (cum laude) in mechanical engineering and his Ph.D. in industrial engineering with a concentration in mechatronics, all from the University of Padua (Italy) in 2005, 2007, and 2011, respectively. Before joining Stevens, he was an Associate Research Scientist at Columbia University.
Dr. Zanotto’ s research interests include design and control of wearable robots for assistance and rehabilitation and wearable technology for human motion analysis. His research has been supported by NSF, NJHF, Muscular Dystrophy Association and Wallace H. Coulter Foundation. Dr. Zanotto is a recipient of the NSF CAREER award and of the Columbia University Translational Fellowship. He regularly serves as an associate editor for several international conferences of the IEEE Robotics and Automation Society (RAS). He also serves in the IEEE-RAS Technical Committee on Mechanisms and Design and in the Editorial Board of Wearable Technologies (Cambridge University Press).