A Study on the Accuracy of Scoliosis Assessment using Digital Human Body Measurement Technology

Objective: This study aimed to validate the accuracy of a scoliosis assessment method using a commercially available 3D depth camera (Azure Kinect). By introducing a correction coefficient to minimize systematic errors, the research sought to enhance both practicality and accuracy in daily scoliosis evaluation.<br/>Background: With the increasing prevalence of scoliosis due to prolonged use of digital devices, there is growing demand for accessible, cost-effective, and non-invasive tools for spinal health monitoring. Traditional methods, such as the scoliometer, are limited to clinical settings and lack suitability for frequent self-assessment. This study highlights the practical contribution of applying a consumer-grade depth camera to scoliosis assessment, demonstrating its potential for widespread daily use.<br/>Method: A 3D depth camera was employed to evaluate the degree of spinal curvature using the Adams forward bend test. Sixteen participants were recruited, and assessments were conducted in two postures: a normal forward-bending position (N = 16) and an induced scoliosis posture (N = 10). Each posture was measured using both the 3D depth camera and a conventional scoliometer. The consistency between the two measurement methods was analyzed using the Intraclass Correlation Coefficient (ICC).<br/>Results: Strong agreement was observed between the depth camera and scoliometer results (ICC = 0.914, p < 0.05). After applying the correction coefficient, accuracy improved from 78% to 91%, with absolute agreement reaching ICC = 0.996. These findings confirm both the reliability and practical efficiency of the proposed method.<br/>Conclusion & Application: The scoliosis assessment method using a 3D depth camera provides a highly accessible, non-invasive, and accurate alternative to traditional clinical tools. Its practical advantages-low cost, ease of use, and strong accuracy-highlight its value as a digital healthcare solution for routine and preventive spinal health management.

Authors

Publication Details

Journal
Journal of the Ergonomics Society of Korea
Published
2025-10-31
DOI
https://doi.org/10.5143/jesk.2025.44.5.633
Primary Topic
Scoliosis diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on the Accuracy of Scoliosis Assessment using Digital Human Body Measurement Technology

Chang-Gi Lee, Jong‐Hyun Kim, Kwang-Tae Jung
Journal of the Ergonomics Society of Korea
Scoliosis diagnosis and treatment
article

A Study on the Accuracy of Scoliosis Assessment using Digital Human Body Measurement Technology

Chang-Gi Lee, Jong‐Hyun Kim, Kwang-Tae Jung
article en

Abstract

Objective: This study aimed to validate the accuracy of a scoliosis assessment method using a commercially available 3D depth camera (Azure Kinect). By introducing a correction coefficient to minimize systematic errors, the research sought to enhance both practicality and accuracy in daily scoliosis evaluation.<br/>Background: With the increasing prevalence of scoliosis due to prolonged use of digital devices, there is growing demand for accessible, cost-effective, and non-invasive tools for spinal health monitoring. Traditional methods, such as the scoliometer, are limited to clinical settings and lack suitability for frequent self-assessment. This study highlights the practical contribution of applying a consumer-grade depth camera to scoliosis assessment, demonstrating its potential for widespread daily use.<br/>Method: A 3D depth camera was employed to evaluate the degree of spinal curvature using the Adams forward bend test. Sixteen participants were recruited, and assessments were conducted in two postures: a normal forward-bending position (N = 16) and an induced scoliosis posture (N = 10). Each posture was measured using both the 3D depth camera and a conventional scoliometer. The consistency between the two measurement methods was analyzed using the Intraclass Correlation Coefficient (ICC).<br/>Results: Strong agreement was observed between the depth camera and scoliometer results (ICC = 0.914, p < 0.05). After applying the correction coefficient, accuracy improved from 78% to 91%, with absolute agreement reaching ICC = 0.996. These findings confirm both the reliability and practical efficiency of the proposed method.<br/>Conclusion & Application: The scoliosis assessment method using a 3D depth camera provides a highly accessible, non-invasive, and accurate alternative to traditional clinical tools. Its practical advantages-low cost, ease of use, and strong accuracy-highlight its value as a digital healthcare solution for routine and preventive spinal health management.

Journal of the Ergonomics Society of KoreaVol. 44(5)
Openalex Percentile: Top 46%
Scoliosis diagnosis and treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Study on the Accuracy of Scoliosis Assessment using Digital Human Body Measurement Technology — Chang-Gi Lee, Jong‐Hyun Kim, et al. · Journal of the Ergonomics Society of Korea (2025) | TGRS Research Map | TGRS