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Sukyung Park

Korea Advanced Institute of Science and Technology · 工学

研究室紹介

Professor Sukyung Park's research lab specializes in biomechanics, wearable sensing, and neuro-motor control, focusing on developing intelligent systems for human movement analysis and health monitoring. The lab integrates artificial intelligence—particularly deep learning—with wearable inertial sensors and physiological modeling to estimate dynamic biomechanical variables such as ground reaction forces and joint kinetics in real-world settings. A key focus is on creating unobtrusive, wearable technologies for continuous posture and gait monitoring in clinical and sports applications, especially for aging populations and patients with neurological disorders like Parkinson’s disease. The lab also investigates sensory processing in the vestibular system to understand how the brain interprets ambiguous motion cues.

wearable sensorsneuromotor controlgait analysisartificial intelligence in biomechanicsposture monitoring

Research Overview

Papers
106
Total Citations
1,419
Papers (5y)
21
Primary Field
工学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
21total
2018
2019
2020
2024
2025
Citations per year (5y)
363total
20182019202020242025

Selected Papers

15
1
Article|162 citations·2019
Prediction of Lower Limb Kinetics and Kinematics during Walking by a Single IMU on the Lower Back Using Machine Learning
Hyerim Lim, Bumjoon J. Kim, Sukyung Park
SJR Q1SensorsOA

Recent studies have reported the application of artificial neural network (ANN) techniques on data of inertial measurement units (IMUs) to predict ground reaction forces (GRFs), which could serve as quantitative indicators of sports performance or rehabilitation. The number of IMUs and their measurement locations are often determined heuristically, and the rationale underlying the selection of these parameter values is not discussed. Using the dynamic relationship between the center of mass (CoM

Biomedical EngineeringEngineering
2
Article|141 citations·2011
Leg stiffness increases with speed to modulate gait frequency and propulsion energy
Seyoung Kim, Sukyung Park
SJR Q1Journal of Biomechanics
Biomedical EngineeringEngineering
3
Article|109 citations·2017
The bending stiffness of shoes is beneficial to running energetics if it does not disturb the natural MTP joint flexion
Keonyoung Oh, Sukyung Park
SJR Q1Journal of Biomechanics
Biomedical EngineeringEngineering
4
Article|100 citations·2009
Postural Feedback Scaling Deficits in Parkinson's Disease
Seyoung Kim, Fay B. Horak, Patricia Carlson‐Kuhta, Sukyung Park
SJR Q2Journal of Neurophysiology

Many differences in postural responses have been associated with age and Parkinson's disease (PD), but until now there has been no quantitative model to explain these differences. We developed a feedback control model of body dynamics that could reproduce the postural responses of young subjects, elderly subjects, and subjects with PD, and we investigated whether the postural impairments of subjects with PD can be described as an abnormal scaling of postural feedback gain. Feedback gains quantif

Physical Therapy, Sports Therapy and RehabilitationHealth Professions
5
Article|56 citations·2020
Estimation of Three-Dimensional Lower Limb Kinetics Data during Walking Using Machine Learning from a Single IMU Attached to the Sacrum
Myunghyun Lee, Sukyung Park
SJR Q1SensorsOA

Kinetics data such as ground reaction forces (GRFs) are commonly used as indicators for rehabilitation and sports performance; however, they are difficult to measure with convenient wearable devices. Therefore, researchers have attempted to estimate accurately unmeasured kinetics data with artificial neural networks (ANNs). Because the inputs to an ANN affect its performance, they must be carefully selected. The GRF and center of pressure (CoP) have a mechanical relationship with the center of m

Biomedical EngineeringEngineering
6
Article|38 citations·2020
Golf Swing Segmentation from a Single IMU Using Machine Learning
Myeongsub Kim, Sukyung Park
SJR Q1SensorsOA

Golf swing segmentation with inertial measurement units (IMUs) is an essential process for swing analysis using wearables. However, no attempt has been made to apply machine learning models to estimate and divide golf swing phases. In this study, we proposed and verified two methods using machine learning models to segment the full golf swing into five major phases, including before and after the swing, from every single IMU attached to a body part. Proposed bidirectional long short-term memory-

Biomedical EngineeringEngineering
7
Article|36 citations·2017
The Development of an IMU Integrated Clothes for Postural Monitoring Using Conductive Yarn and Interconnecting Technology
S.G. Kang, Hyeob Choi, Hyung-Il Park, Byoung-Gun Choi, Hyobin Im, Dongjun Shin, Young-Giu Jung, Juneyoung Lee, Hong-Won Park, Sukyung Park, Jung‐Sim Roh
SJR Q1SensorsOA

Spinal disease is a common yet important condition that occurs because of inappropriate posture. Prevention could be achieved by continuous posture monitoring, but most measurement systems cannot be used in daily life due to factors such as burdensome wires and large sensing modules. To improve upon these weaknesses, we developed comfortable "smart wear" for posture measurement using conductive yarn for circuit patterning and a flexible printed circuit board (FPCB) for interconnections. The cond

Biomedical EngineeringEngineering
8
Article|32 citations·2013
Compliant bipedal model with the center of pressure excursion associated with oscillatory behavior of the center of mass reproduces the human gait dynamics
Chang Keun Jung, Sukyung Park
SJR Q1Journal of Biomechanics
Biomedical EngineeringEngineering
9
Article|31 citations·2010
A gravitational impulse model predicts collision impulse and mechanical work during a step-to-step transition
Jin Yeom, Sukyung Park
SJR Q1Journal of Biomechanics
Biomedical EngineeringEngineering
10
Article|31 citations·2012
Perturbation-dependent selection of postural feedback gain and its scaling
Seyoung Kim, Christopher G. Atkeson, Sukyung Park
SJR Q1Journal of Biomechanics
Physical Therapy, Sports Therapy and RehabilitationHealth Professions
11
Article|28 citations·2011
The oscillatory behavior of the CoM facilitates mechanical energy balance between push-off and heel strike
Seyoung Kim, Sukyung Park
SJR Q1Journal of Biomechanics
Biomedical EngineeringEngineering
12
Article|27 citations·2006
Roll Rotation Cues Influence Roll Tilt Perception Assayed Using a Somatosensory Technique
Sukyung Park, Claire Gianna-Poulin, F. Owen Black, Scott J. Wood, Daniel M. Merfeld
SJR Q2Journal of Neurophysiology

We investigated how the nervous system processes ambiguous cues from the otolith organs by measuring roll tilt perception elicited by two motion paradigms. In one paradigm (tilt), eight subjects were sinusoidally tilted in roll with the axis of rotation near ear level. Stimulus frequencies ranged from 0.005 to 0.7 Hz, and the peak amplitude of tilt was 20 degrees . During this paradigm, subjects experienced a sinusoidal variation of interaural gravitational force with a peak of 0.34 g. The secon

NeurologyNeuroscience
13
Article|25 citations·2013
Resonance-based oscillations could describe human gait mechanics under various loading conditions
Myunghyun Lee, Seyoung Kim, Sukyung Park
SJR Q1Journal of Biomechanics
Biomedical EngineeringEngineering
14
Article|21 citations·2018
Estimation of unmeasured ground reaction force data based on the oscillatory characteristics of the center of mass during human walking
Hansol X. Ryu, Sukyung Park
SJR Q1Journal of Biomechanics
Physical Therapy, Sports Therapy and RehabilitationHealth Professions
15
Article|21 citations·2018
Kinematics of lower limbs during walking are emulated by springy walking model with a compliantly connected, off-centered curvy foot
Hyerim Lim, Sukyung Park
SJR Q1Journal of Biomechanics
Biomedical EngineeringEngineering

Research Areas

Biomedical EngineeringCognitive NeurosciencePhysical Therapy, Sports Therapy and RehabilitationSocial PsychologyNeurologyOrthopedics and Sports Medicine

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