Dr Yong Kuk Kim

ABOUT ME

I recently completed my PhD, specialising in human gait analysis and wearable sensor technology, under the supervision of Prof William Taylor and Dr Navrag Singh at ETH Zürich. Before that, I earned my BEng and MEng degrees in Electronic and Electrical Engineering from UCL n in 2017 and 2018. My research focused on using wearables to study human movement and to develop clinically relevant assessment tools, bridging the gap between engineering and healthcare.

Beyond research, I’m passionate about staying active and exploring new experiences, from wake surfing and skiing to handstand training and tennis. I also love travelling, as it offers fresh perspectives and a welcome reset. I believe in trying things for myself before forming an opinion, and that curiosity continues to shape both my work and my life.

PUBLICATIONS

Leveraging deep learning and wearables for automatically identifying gait event: Effects of age and location of sensors on the assessment of gait events, Y. K. Kim, S. G. S. Pai, J. O. Choi, K. Z. Tan, M. Gwerder, A. Frautschi, W. R. Taylor, N. 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, Y. K. Kim, M. Gwerder , W. R. Taylor , H. Baur , N. 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. C. Dammeyer, C. Nüesch, R. M. S. Visscher, Y.K. Kim et al, Journal of Orthopaedic Research®. 2024; 1-10. doi:10.1002/jor.25797
How the CYBATHLON Competition Has Advanced Assistive Technologies, L. Jaeger, R. D. Baptista, C. Basla, P. Capsi-Morales, Y. K. Kim, S. Nakajima, C. Piazza, M. Sommerhalder, L Tonin, G. Valle, R. Riener, R. 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?, Y. K. Kim, R. M. S. Vissche, E. Viehweger, N. B. Singh, W. R. Taylor, 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, P. 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. S. 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. M. S. 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 (2,000 CHF)