AI Article Synopsis
- Postural abnormalities are common across all ages and negatively impact quality of life, making early detection important.
- This study introduces a depth camera-based system using an Azure Kinect for evaluating posture issues like uneven shoulders and scoliosis, combining hardware with specialized software.
- The system offers an affordable and accurate method for assessing posture, showing promising results compared to established motion capture techniques, making it ideal for initial screenings.
Article Abstract
Postural abnormalities have become a prevalent issue affecting individuals of all ages, resulting in a diminished quality of life. Easy-use and reliable posture assessment tools can aid in screening for and correcting posture deviation at an early stage. In this study, we present a depth camera-based static posture assessment system to screen for common postural anomalies such as uneven shoulders, pelvic tilt, bowlegs and knock-knees, forward head, scoliosis, and shoulder blade inclination. The system consists of an Azure Kinect camera, a laptop, and evaluation software. Our system accurately measures skeleton and posture indexes and shows favorable agreement with a golden standard optical infrared motion capture system. The findings indicate that the system is a low-cost posture assessment tool with high precision and accuracy, suitable for initial screening of postural abnormalities in individuals of all ages.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10551660 | PMC |
| http://dx.doi.org/10.1016/j.isci.2023.107974 | DOI Listing |
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