Yong Kuk Kim

ABOUT ME

Ph.D. Candidate at Laboratory Movement Biomechanics, ETH Zürich, Switzerland.

Head of Discipline FES, CYBATHLON

E-MAIL: yong.kim[at]hest[dot]ethz[dot]ch

ADDRESS: GLC H 11 Gloriastrasse 37/39 8092, Zürich, Switzerland

I'm currently doing my Ph.D. under the guidance of Prof. William Taylor and Dr. Navrag Singh. I did my BEng and MEng in Electronic and Electrical Engineering at University College London in 2017 and 2018, respectively. Right now, I'm working on a bunch of projects with other students. We're trying to use inertial measurement units to understand how people move and develop clinical evaluation tools.

Outside of my academic pursuits, I'm quite an enthusiast for a variety of activities. From wake surfing and skiing to mastering handstands and hitting the tennis court, I'm all in. Travel holds a special place in my heart as well; it rejuvenates me like nothing else. I'm always game for new experiences, firmly believing in giving everything a go before forming an opinion on it.

PUBLICATIONS

Leveraging deep learning and wearables for automatically identifying gait event: Effects of age and location of sensors on the assessment of gait events, Yong Kuk Kim, Sai GS Pai, Joong O Choi, Kai Z Tan, Michelle Gwerder, Angela Frautschi, William R Taylor, Navrag B Singh (2024), IEEE Sensors https://doi.org/10.1109/JSEN.2024.3487018
Adaptive Gait Responses to varying Weight-Bearing Conditions: Inferences from gait dynamics and H-reflex magnitude, Yong Kuk Kim, Michelle Gwerder , William R. Taylor , Heiner Baur , Navrag B Singh , Experimental Physiology 2024; 1–12. https://doi.org/10.1113/EP091492
Classification of inertial sensor-based gait patterns of orthopaedic conditions using machine learning: a pilot study. Dammeyer C, Nüesch C, Visscher RMS, Kim Y K et al, Journal of Orthopaedic Research®. 2024; 1-10. doi:10.1002/jor.25797
How the CYBATHLON Competition Has Advanced Assistive Technologies- Lukas Jaeger, Roberto de Souza Baptista, Chiara Basla, Patricia Capsi-Morales, Yong Kuk Kim, Shuro Nakajima, Cristina Piazza, Michael Sommerhalder, Luca Tonin, Giacomo Valle, Robert Riener, Roland Sigrist; Annual Review of Control, Robotics, and Autonomous Systems 2023 6:1, 447-476, https://doi.org/10.1146/annurev-control-071822-095355
A deep-learning approach for automatically detecting gait-events based on foot-marker kinematics in children with cerebral palsy—Which markers work best for which gait patterns?, Kim YK, Visscher RMS, Viehweger E, Singh NB, Taylor WR, et al. (2022) ; PLOS ONE 17(10): e0275878, https://doi.org/10.1371/journal.pone.0275878

PEER-REVIEWED CONFERENCES

Age group identification using machine learning and IMU: A comparison of sensor placements, Y.K Kim, N. Fehr, F. Fahimi, M. Gwerder, A. Frautschi, W.R. Taylor, N. Singh. European Society for Movement Analysis in Adults and Children 2023, Poster
Deep Kinematics: Uncovering Human Biomechanics with IMUs and Deep Learning - Preliminary Result, Y.K Kim, M. Kaufmann, A. Häfliger, W.R Taylor, N. B. Singh, International Society of Biomechanics, 2023, Oral
Automated gait event detection using wearables/ IMU for data acquisition and deep learning for placement classification, Y.K Kim, J. O. Choi, S. G. S. Pai, W.R Taylor, N. B. Singh, International Society of Biomechanics, 2023, Oral
Distinguishing between healthy subjects and patients with different degenerative diseases based on the persons' gait pattern--A machine learning approach, C. Dammeyer, C. Nüesch, R. Visscher, Y.K. Kim, Petros Ismailidis, M. Wittauer, K. Stoffel, Y. Acklin, C. Egloff, C. Netzer, A. Muendermann, Gait & Posture, Volume 100, Supplement 1, 2023, Pages S74-S75
Soleus H-reflex gain under different bodyweight conditions during walking in children as well as young and older adults, M. Gwerder, U. Camenzind, Y.K. Kim, R.M. Visscher, W.R. Taylor, N.B. Singh, Gait & Posture, Volume 97, Supplement 1, 2022, Pages S74-S75, https://doi.org/10.1016/j.gaitpost.2022.07.056.
Towards automated gait event detection using machine learning – what foot markers work best for what gait patterns? Y.K. Kim, R. MS. Visscher, S. Sansgiri, M. Freslier, R. Brunner, F. Vogl, W. R. Taylor, N. B. Singh, International Society of Biomechanics, 2021, Oral
How does modulating load impact the limits of stability during walking? Inferences from simulated body-weight support and load carriage conditions, Y.K. Kim, M. Gwerder, D. R. Kumar, W. R. Taylor, N. B. Singh, International Society of Biomechanics, 2021, Poster

GRANTS

AO Research Opportunity Award

STUDENT PROJECTS SUPERVISED

AVAILABLE STUDENT PROJECT

None at the moment. For other projects from the lab, please check this link.

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Etay Yacov (Master's Thesis) - Tuning the Extended Kalman Filter for Optimal Feet Movement Tracking with IMUs

Alexander Häfliger (Master's Thesis) - Deep Kinematics: Uncovering Human Biomechanics with IMUs and Deep Learning

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Lea Sommerhalder (Semester) - Changes of Static Stability Under Different Auditory Stimuli

Leah Schulz (Internship) - Feature Extraction in Clinical Tests Using IMU Sensors at the Pelvis Level

Tim Unger (Master's Thesis) - Derivation of spatio-temporal gait parameters and pelvis trajectory using ZurichMove IMU’s

Antonino Taormina (Master's Thesis) - Validation of IMU-based methods for quantifying gait events

Frédéric Eppisser (Master's Thesis) - Monitoring the quality of movement using wearable sensors on head and pelvis level

Yannick Beeler (Semester) - Muscle synergies during gait - a validation study

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Sebastien Fietcher (Master's Thesis) - Comparing current methods for estimating centre of mass displacement in young adult males

Leon Locher (Semester) - Towards real-time estimation of gait events – a machine learning approach