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12 scholarly publications
Including 9 international journal articles supporting Bodydot posture analysis technology
  • No. 1

    Validity and reliability of POM-Checker in measuring shoulder range of motion: Protocol for a single center comparative study

    This protocol aimed to validate a markerless system that automatically measures shoulder ROM, addressing measurement error and inter-rater variability of manual goniometers. Shoulder flexion, abduction, and rotation were compared between conventional tools and POM-Checker.

    Authors

    Chu, Hongmin, Joo, Seongsu, Kim, Jinyoung, Kim, Jae Kyoun, Kim, Cheolhyun, Seo, Jihye, Kang, Dae Gill, Lee, Ho Sub, Sung, Kang-Keyng, Lee, Sangkwan

    Published Date

    2018-05-01

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  • No. 2

    Spine Computed Tomography to Magnetic Resonance Image Synthesis Using Generative Adversarial Networks: A Preliminary Study

    This preliminary study explored whether GAN-based AI can convert spine CT images to T2-weighted MRI-like images. After training on 280 CT-MRI pairs, synthetic MRI showed ~80% similarity to real MRI, suggesting potential when MRI is unavailable.

    Authors

    Jung Hwan Lee, In Ho Han, Dong Hwan Kim, Seunghan Yu, In Sook Lee, You Seon Song, Seongsu Joo, Cheng-Bin Jin, Hakil Kim

    Published Date

    2020-05-01

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  • No. 3

    Shoulder kinematics investigation using a depth sensor-based motion analysis system

    Using Kinect-V2 and POM-Checker, shoulder motion was compared between healthy subjects and patients. Patients showed lower peak abduction angles/velocities and higher abduction/adduction time ratios, supporting clinical shoulder assessment.

    Authors

    이인규, 김유진

    Published Date

    2021-01-01

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  • No. 4

    Validity and Reliability of POM-Checker for Measuring Shoulder Range of Motion in Healthy Participants: A Pilot Single-Center Comparative Study

    This pilot compared Kinect-based POM-Checker with BTS SMART DX-400 for shoulder ROM. Sixteen of 18 movements exceeded ICC 0.75, demonstrating that POM-Checker is a reliable and valid shoulder ROM measurement tool.

    Authors

    Hongmin Chu, Weonjin Kim, Seongsu Joo, Eunsik Park, Yeong Won Kim, Cheol-Hyun Kim, Sangkwan Lee

    Published Date

    2023-11-01

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  • No. 5

    Validity and reliability of the single camera markerless motion capture system using RGB-D sensor to measure shoulder range-of-motion: A protocol for systematic review and meta-analysis

    This protocol describes methods for a systematic review of RGB-D single-camera markerless systems for shoulder ROM. It aims to guide clinical adoption and future studies across movements and joints.

    Authors

    Unhyung Lee, Seunghoon Lee

    Published Date

    2023-05-01

    View paper
  • No. 6

    A Preliminary Diagnostic Model for Forward Head Posture among Adolescents Using Forward Neck Tilt Angle and Radiographic Sagittal Alignment Parameters

    Using POM-Checker for non-invasive FNTA and radiographic sagittal parameters, this study proposed a preliminary FHP model for adolescents. FNTA helped screen who needs X-ray, with 95.35% agreement in the proposed model.

    Authors

    Young Jae Moon, Tae Young Ahn, Seung Woo Suh, Kun-Bo Park, Sam Yeol Chang, Do-Kun Yoon, Moo-Sub Kim, Hyeonjoo Kim, Yong Dae Jeon, Jae Hyuk Yang

    Published Date

    2024-02-01

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  • No. 7

    한의사 교의사업이 초등학생의 경추 자세 교정에 미치는 영향

    FHP in elementary students was quantified with POM Checker® before and after a posture-education outreach program. Turtle-neck angles and understanding improved, with significant gains in posture knowledge and satisfaction.

    Authors

    박정수, 신선미, 이승환, 정유옹, 주성수, 성현경

    Published Date

    2024-05-01

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  • No. 8

    Exploring the Potential of AI-Assisted Technology in Joint Range-of-Motion Measurements: A Reliability Study

    Joint ROM measured with AI-assisted POM-Checker (RGB-D) was compared with universal goniometer (UG). Both showed excellent intra-rater reliability (ICC > 0.75), though hip measures were lower than UG, calling for protocol standardization.

    Authors

    Gisoo Lee, Eric W. Tan

    Published Date

    2025-01-01

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  • No. 9

    Reliability and Validity of the Single-Camera Markerless Motion Capture System for Measuring Shoulder Range of Motion in Healthy Individuals and Patients with Adhesive Capsulitis: A Single-Center Study

    iBalance, a single-camera markerless system, was evaluated for shoulder ROM in healthy adults and adhesive capsulitis patients. It showed excellent reliability for flexion/abduction/passive abduction and strong validity vs. goniometer.

    Authors

    Suji Lee, Unhyung Lee, Yohwan Kim, Seungjin Noh, Hungu Lee, Seunghoon Lee

    Published Date

    2025-03-01

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  • No. 10

    Validity and reliability of single camera markerless motion capture systems with RGB-D sensors for measuring shoulder range-of-motion: a systematic review

    This systematic review assessed RGB-D single-camera markerless systems for shoulder ROM. Results were promising for simple movements like flexion/abduction, but complex motions limit immediate clinical use; more high-quality studies are needed.

    Authors

    Unhyung Lee, Suji Lee

    Published Date

    2025-05-01

    View paper
  • No. 11

    Deep CT to MR Synthesis Using Paired and Unpaired Data

    This paper proposes MR-GAN to synthesize MRI from CT. Unlike prior work using only paired or unpaired data, combining both improved synthesis performance.

    Authors

    Cheng-Bin Jin, Hakil Kim, Mingjie Liu, Wonmo Jung, Seongsu Joo, Eunsik Park, Young Saem Ahn, In Ho Han, Jae Il Lee, Xuenan Cui

    Published Date

    2019-05-01

    View paper
  • No. 12

    DC²Anet: Generating Lumbar Spine MR Images from CT Scan Data Based on Semi-Supervised Learning

    This study advances CT-to-lumbar-MR synthesis with DC²Anet using semi-supervised learning, building on prior GAN approaches for spinal imaging.

    Authors

    Cheng-Bin Jin, Hakil Kim, Mingjie Liu, In Ho Han, Jae Il Lee, Jung Hwan Lee, Seongsu Joo, Eunsik Park, Young Saem Ahn, Xuenan Cui

    Published Date

    2019-06-01

    View paper
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