Hyerim Lim

发表

The unmeasured motion estimation using a biomechanical model and machine Learning (ML) hybrid method from a single measurement of the CoM acceleration from an IMU

Hyerim Lim, Bumjoon J. Kim, Sukyung Park, 2019 .

Kinematics of lower limbs during walking are emulated by springy walking model with a compliantly connected, off-centered curvy foot.

Hyerim Lim, Sukyung Park, 2018, Journal of biomechanics.

Spring-loaded inverted pendulum modeling improves neural network estimation of ground reaction forces.

Hyerim Lim, Bumjoon J. Kim, Sukyung Park, 2020, Journal of biomechanics.

A bipedal compliant walking model generates periodic gait cycles with realistic swing dynamics.

Hyerim Lim, Sukyung Park, 2019, Journal of biomechanics.

Compliant walking model with a curvy foot reflecting the position of ankle on reproducing the ankle torque profile

Hyerim Lim, Sukyung Park, Heewon Park, 2015 .

Prediction of Lower Limb Kinetics and Kinematics during Walking by a Single IMU on the Lower Back Using Machine Learning

Hyerim Lim, Sukyung Park, Bumjoon Kim, 2019, Sensors.

Estimating GRF using simple biomechanics implemented neural network model

Hyerim Lim, Bumjoon J. Kim, Sukyung Park, 2019 .

Study about the reliability of sensors in motion perception using Kalman filter

Hyerim Lim, Sukyung Park, 2013 .