Research on Personalized Exercise Prescription Generation Based on Analytic Hierarchy Process

Meng Liu; Peixin Ge; Chao Li; Ning Shang

doi:10.18686/ahe.v9i6.14332

Research on Personalized Exercise Prescription Generation Based on Analytic Hierarchy Process

Meng Liu , Peixin Ge , Chao Li , Ning Shang

Abstract

Traditional exercise prescription generation methods suffer from data fragmentation and lack of dynamic optimization. To address these issues, this study proposes a hierarchical analysis-based personalized exercise prescription generation method. The approach integrates multidimensional user data and establishes a multi-level evaluation model, enabling the selection of prescriptions tailored to user needs. Through dynamic adjustments based on user feedback, the prescription undergoes continuous optimization. Experimental results demonstrate that this method effectively alleviates occupational fatigue.

Keywords

Analytic Hierarchy Process; Exercise prescription; Personalized recommendation; Occupational fatigue; Health management

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References

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DOI: http://dx.doi.org/10.18686/ahe.v9i6.14332

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