- Feng Miao1*, Zhi Jun Zhang2, Jun Yan3
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Cangzhou Normal University, Cangzhou, Hebei, CO 061001, China
- FAR Journal of Multidisciplinary Studies (FARJMS)
- DOI
Abstract: In response to the global concern over adolescent spinal deformity, this study develops an intelligent spinal deformity motion correction testing system. Integrating AI and spinal health screening technology, the system comprises three key modules: model training, posture analysis, and intervention planning. By capturing and analyzing numerous human images via machine learning algorithms, the system accurately identifies skeletal landmarks and assesses spinal posture for early deformity detection. Furthermore, it can generate personalized exercise correction programs. This innovation aims to offer an efficient, precise, cost-effective, and non-invasive tool for adolescent spinal health management, thereby advancing the field of spinal health.