The Implementation Path of Personalized Fitness for Rural Elderly Empowered by Intelligent Exercise Prescription
Year: 2025
Type: article
Abstract: This study responds to the call to accelerate the digital transformation in rural areas, and pays special attention to promoting the active and healthy aging of rural elderly. We used generative artificial intelligence (AI) technology to develop and evaluate personalized exercise prescriptions, and planned a digital and inclusive path for rural fitness projects. This study adopts a mixed design method, which combines controlled field experiments, systematic literature review and semi-structured expert interviews. Firstly, a theoretical framework based on evidence is established by synthesizing domestic and foreign literatures. Secondly, experts in the fields of rural public health, sports science and digital health were interviewed to improve the intervention program. Finally, a number of field experiments were carried out in rural communities. Baseline health data were collected from older people living in the community. Then, the generative AI algorithm generates a personalized exercise prescription, which details the exercise mode, intensity, duration, frequency and progress. Participants followed the plan of AI generation and performed 12 weeks of exercise under the supervision and guidance of coaches.
DOI: 10.61784/tsshr3168
Authors: Xin Fang, NianKun Zhang, ChunLing Guo, Dan Li, Xu Sun
Institution: Xi'an Physical Education University
Language: English
Topic: Physical Activity and Health
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4413241706