gaitanalysis

Estimating Lower Limb Kinematics using a Lie Group Constrained EKF and a Reduced Wearable IMU Count

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 …

Exploring Various Smartwatches

Played through various smartwatches for a project I was doing. See basic comparison below: Comparison Watch OS Programming Environment Sensors Battery Acc. Gyr. Mag. Fitbit Versa Fitbit OS Javascript through Fitbit studio ✔ ✔ Bad (~1 day) AmazFit GTR Realtime OS based Sadly, not programmable ✔ ✔ ✔ Very good (14 days) AmazFit Verge Android OS 5.

Estimating Lower Limb Kinematics Using Distance Measurements with a Reduced Wearable Inertial Sensor Count

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 …

Towards comfortable assessment of human movement

3 minute long summary of my PhD thesis

Sparse Motion Capture: Comprehensive and Accurate Estimation of Lower Body Movement Using Few Wearable Sensors

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.

Sparse Motion Capture

My Ph.D. topic. Comprehensive and Accurate Estimation of Lower Body Movement Using Few Wearable Sensors