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This framework models human function under safety constraints, highlighting implications for decision support systems.
MUFO (MoveTips Unified Functional Ontology) is a governance-oriented ontology framework for modeling human functional state under explicit safety constraints. The framework formalizes human function as task–capacity matching within bounded physiological, biomechanical, and cognitive cost regimes. MUFO introduces a minimal sufficient eight-factor decomposition, a strict separation between observable dimensions and inferred attributions, and a hard safety-gating layer prior to downstream actions. The system produces deterministic reasoning artifacts with versioned parameters and provenance support, enabling reproducible evaluation and longitudinal trend analysis across rehabilitation and movement training contexts. This preprint presents the conceptual architecture, mathematical operationalization (MVSS-12 baseline), and an end-to-end auditable inference pipeline. MUFO is intended as a knowledge representation and decision-support framework and does not constitute a medical device or diagnostic system.
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LEI CHE (2026) studied this question.
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