Joung Hwan Mun

ORCID: 0000-0003-4213-785X
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Research Areas
  • Balance, Gait, and Falls Prevention
  • Muscle activation and electromyography studies
  • Sports Performance and Training
  • Sports Dynamics and Biomechanics
  • Musculoskeletal pain and rehabilitation
  • Ergonomics and Musculoskeletal Disorders
  • Lower Extremity Biomechanics and Pathologies
  • Gait Recognition and Analysis
  • Effects of Vibration on Health
  • Wireless Body Area Networks
  • Scoliosis diagnosis and treatment
  • Solid State Laser Technologies
  • Diabetic Foot Ulcer Assessment and Management
  • Medical Imaging and Analysis
  • Shoulder Injury and Treatment
  • Prosthetics and Rehabilitation Robotics
  • Knee injuries and reconstruction techniques
  • Luminescence Properties of Advanced Materials
  • Context-Aware Activity Recognition Systems
  • Motor Control and Adaptation
  • Structural Health Monitoring Techniques
  • Mechanics and Biomechanics Studies
  • Advanced Vision and Imaging
  • Cerebral Palsy and Movement Disorders
  • Medical Image Segmentation Techniques

Sungkyunkwan University
2015-2024

Tohoku University
2004-2008

University of Iowa
2001-2003

Tokyo Denki University
2002

Proactively detecting falls and preventing injuries are among the primary keys to a healthy life for elderly. Near-fall remote monitoring in daily could provide key information prevent future obtain quantitative rehabilitation status patients with weak balance ability. In this study, we developed deep learning-based novel classification algorithm precisely categorize three classes (falls, near-falls, activities of living (ADLs)) using single inertial measurement unit (IMU) device attached...

10.1109/tnsre.2022.3199068 article EN IEEE Transactions on Neural Systems and Rehabilitation Engineering 2022-01-01

10.1007/s12541-013-0064-4 article EN International Journal of Precision Engineering and Manufacturing 2013-03-01

In general, three-dimensional ground reaction forces (GRFs) and moments (GRMs) that occur during human gait are measured using a force plate, which expensive have spatial limitations. Therefore, we proposed prediction model for GRFs GRMs, only uses plantar pressure information from insole sensors with wavelet neural network (WNN) principal component analysis-mutual (PCA-MI). For this, the estimated GRMs three different speeds (slow, normal, fast groups) healthy/pathological patterns (healthy...

10.1115/1.4030892 article EN Journal of Biomechanical Engineering 2015-06-23

When the human body is introduced to a new motion or movement, it learns placement of different parts, sequential muscle control, and coordination between muscles achieve necessary positions, hones this skill over time repetition. Previous studies have demonstrated definite differences in smoothness movements with levels training, i.e., amateurs compared professionals. Therefore, we tested hypothesis that skilled golfers swing driver smoother than do unskilled golfers. In addition,...

10.1186/1475-925x-13-20 article EN cc-by BioMedical Engineering OnLine 2014-02-26

The aim of this study was to quantitatively analyze quite standing postural stability adolescent idiopathic scoliosis (AIS) patients in respect three sensory systems (visual, vestibular, and somatosensory). In study, we analyzed the anterior-posterior center pressure (CoP) signal using discrete wavelet transform (DWT) between AIS (n = 32) normal controls 25) during quiet standing. energy rate (∆E EYE %) CoP significantly higher group than that control at levels corresponding vestibular...

10.1186/s12984-018-0395-6 article EN cc-by Journal of NeuroEngineering and Rehabilitation 2018-06-22

A biomechanical understanding of gait stability is needed to reduce falling risk. As a typical parameter, the COM-COP (center mass-center pressure) inclination angle (IA) could provide valuable insight into postural control and balance recovery ability. In this study, an artificial neural network (ANN) model was developed estimate IA based on signals using inertial sensor. Also, we evaluated how different types ANN cutoff frequency low-pass filter applied input affect accuracy model. An...

10.3390/s19132974 article EN cc-by Sensors 2019-07-05

Pre-impact fall detection can send alarm service faster to reduce long-lie conditions and decrease the risk of hospitalization. Detecting various types determine impact site or direction prior is important because it increases chance decreasing incidence severity fall-related injuries. In this study, a robust pre-impact model was developed classify activities falls as multiclass its performance compared with previous models. Twelve healthy subjects participated in study. All were asked place...

10.1115/1.4043449 article EN Journal of Biomechanical Engineering 2019-04-10

Biomechanical understanding of the knee joint during a golf swing is essential to improve performance and prevent injury. In this study, we quantified flexion/extension angle moment as primary movement, evaluated quasi-stiffness represented by moment–angle coupling in joint. Eighteen skilled 23 unskilled golfers participated study. Six infrared cameras two force platforms were used record motion. The anatomical calculated from kinematic kinetic models, was determined an instantaneous slope...

10.1080/02640414.2014.1003591 article EN Journal of Sports Sciences 2015-02-04

In order to overcome the current limitations in threshold-based and machine learning-based fall detectors, an insole system novel classification model were created. Because high-acceleration activities have a high risk for falls, because of potential damage that is associated with falls during activities, four low-acceleration eight types performed by twenty young male subjects. Encompassing total 800 320 min daily life (ADLs), created Support Vector Machine model’s Leave-One-Out...

10.3390/s18041227 article EN cc-by Sensors 2018-04-17

Abstract Background During a golf swing, analysis of the movement in upper torso and pelvis is key step to determine motion control strategy for accurate consistent shots. However, majority previous studies that have evaluated this limited their only rotational segments, translational motions were not examined. Therefore, study, correlations between 3 axes, which occur pelvis, also Methods The experiments carried out with 14 male pro-golfers (age: 29 ± 8 years, career: 8.2 4.8years) who...

10.1186/1475-925x-12-13 article EN cc-by BioMedical Engineering OnLine 2013-02-11

10.1007/s12541-012-0035-1 article EN International Journal of Precision Engineering and Manufacturing 2012-02-01

Golf requires proper dynamic balance to accurately control the club head through a harmonious coordination of each human segment and joint. In this study, we evaluated ability for during golf swing by using centre mass (COM)–centre pressure (COP) inclination variables. Twelve professional, 13 amateur 10 novice golfers participated in study. Six infrared cameras, two force platforms SB-Clinic software were used measure net COM COP trajectories. order evaluate ability, COM–COP angle, angular...

10.1080/02640414.2015.1076572 article EN Journal of Sports Sciences 2015-08-12

Motion capture (MoCap) technology, essential for biomechanics and motion analysis, faces challenges from data loss due to occlusions technical issues. Traditional recovery methods, based on inter-marker relationships or independent marker treatment, have limitations. This study introduces a novel U-net-inspired bi-directional long short-term memory (U-Bi-LSTM) autoencoder-based technique recovering missing MoCap across multi-camera setups. Leveraging triangulated 3D data, this method employs...

10.3390/bioengineering11060560 article EN cc-by Bioengineering 2024-06-01

Pre-impact fall detection can detect a before body segment hits the ground. When it is integrated with protective system, directly prevent an injury due to hitting An impact acceleration peak magnitude one of key measurement factors that affect severity injury. It be used as design parameter for wearable devices injuries. In our study, novel method proposed predict after loss balance using single inertial unit (IMU) sensor and sequential-based deep learning model. Twenty-four healthy...

10.3390/s20216126 article EN cc-by Sensors 2020-10-28

Whole-body center of gravity (CG) movements in relation to the pressure (COP) offer insights into balance control strategies human body. Existing CG measurement methods using expensive equipment fixed a laboratory environment are not intended for continuous monitoring. The development wireless sensing technology makes it possible expand daily life. insole system is wearable device that can evaluate ability by measuring distribution on ground. In this study, novel protocol (data preparation...

10.3390/s22093499 article EN cc-by Sensors 2022-05-04

10.1007/s00170-008-1400-1 article EN The International Journal of Advanced Manufacturing Technology 2008-02-08
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