Lauro Ojeda

With over 25 years of experience in inertial sensing, sensor data fusion, Kalman filtering, localization, motion tracking, biomechanics, and human gait analysis, Lauro Ojeda brings a wealth of knowledge and expertise to these fields. His pioneering research in foot tracking has been instrumental in advancing unrestricted gait analysis, driven by ongoing collaborations with various departments at the University of Michigan and international research centers. Ojeda’s work predominantly focuses on the application of inertial sensors to solve complex challenges, including motion tracking, localization, biomechanics, gait analysis, and attitude determination for micro-satellites.