Design and validation of depth camera-based static posture assessment system

• Published in: iScience 2023-10, Vol.26 (10), p.107974-107974, Article 107974
• Main Authors: Xing, Qingjun, Hong, Ruiwei, Shen, Yuanyuan, Shen, Yanfei
• Format: Article
• Language: English
• Subjects: Computer science; Engineering; Sports medicine
• ISSN: 2589-0042; 2589-0042
• DOI: 10.1016/j.isci.2023.107974

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. [Display omitted] •We have developed a depth camera-based static posture assessment system•Our system can detect common postural anomalies•The precision and accuracy of our system are high compared to the gold standard Sports medicine; Computer science; Engineering