This paper presents a novel algorithm using Lie group representation of position and orientation alongside a constrained extended Kalman filter (CEKF) to accurately estimate pelvis, thigh, and shank kinematics during walking using only three wearable …
This paper presents an algorithm that makes novel use of distance measurements alongside a constrained Kalman filter to accurately estimate pelvis, thigh, and shank kinematics for both legs during walking and other body movements using only three …
3 minute long summary of my PhD thesis
The Faculty of Engineering invites all UNSW Engineering HDR students, Academic and Professional staff and industry experts to the Postgraduate Research Symposium 2019. The 5th edition of this student-led interdisciplinary research conference features oral and poster presentations and the final awards ceremony.
My Ph.D. topic. Comprehensive and Accurate Estimation of Lower Body Movement Using Few Wearable Sensors