Biometrics

Elizabeth T. Hsiao-Wecksler

Elizabeth T. Hsiao-Wecksler uses dynamic systems modeling, control theory, and movement analysis to study posture and movement, particularly as they relate to musculoskeletal biomechanics and rehabilitation engineering. Toward that end, she and other researchers in her lab are developing assistive devices and measurement tools to help explain the mechanisms involved in balance and gait.
Thomas S. Huang

Professor Huang is co-chair of the Human-Computer Intelligent Interaction Laboratory. The main research theme of the lab is to enhance human-machine interface design through the optimization of state-of-the-art technology development and engineering of multimodal interface design concepts.
Negar Kiyavash

In the area of digital rights management (DRM), Negar Kiyavash focuses on copyright protection, including digital watermarking and digital fingerprinting, steganography, and information-theoretic and algebraic DRM. In the area of biometrics, she is working on biometric authentication and biometric-aided access-based control.
Yi Ma

Prof. Ma's research interests include systems theory and computer vision. Recent research topics include geometric and algebraic theory of computer vision, vision based control & navigation, modeling and segmentation of mixed data, and estimation of hybrid models and systems.
Quantitative Characterization of Complex Motion Patterns Using Shape-based and Multivariate Techniques

funded by the National Science Foundation
Optimization-Based Inverse Dynamics to Reduce Errors in Estimated Joint Torques

Inverse dynamics is a powerful tool for the biomechanical analysis of human movement, and is commonly used to calculate the net torques generated in various limb joints. Despite the widespread use of this method, past research has shown that the errors in joint torque calculations are relatively large.