Paper Type
ERF
Abstract
Home-based pulmonary rehabilitation can extend COPD care beyond scarce center-based programs, but it shifts safe exercise practice to patients and digital artifacts. This ERF proposes an explainable camera-based sit-to-stand (STS) AI Coach as a Design Science Research artifact for COPD home rehabilitation. The artifact converts smartphone video into skeletal time series, applies input and safety-context gates, compares repetitions with clinician-labeled reference sequences through a parsimonious pose-similarity scorer, and returns action-facing explanations and versioned movement-quality evidence. The contribution is not a clinical efficacy claim. It is a staged artifact design and evaluation protocol for forming auditable candidate quantitative STS-quality standards, represented as labeled reference distributions rather than a single ideal movement.
Paper Number
1901
Recommended Citation
Chen, Juan, "Designing an Explainable Sit-To-Stand AI Coach for COPD Home Rehabilitation: A DSR Proposal for Candidate Quantitative Standard Formation" (2026). AMCIS 2026 Proceedings. 32.
https://aisel.aisnet.org/amcis2026/conftheme/conftheme/32
Designing an Explainable Sit-To-Stand AI Coach for COPD Home Rehabilitation: A DSR Proposal for Candidate Quantitative Standard Formation
Home-based pulmonary rehabilitation can extend COPD care beyond scarce center-based programs, but it shifts safe exercise practice to patients and digital artifacts. This ERF proposes an explainable camera-based sit-to-stand (STS) AI Coach as a Design Science Research artifact for COPD home rehabilitation. The artifact converts smartphone video into skeletal time series, applies input and safety-context gates, compares repetitions with clinician-labeled reference sequences through a parsimonious pose-similarity scorer, and returns action-facing explanations and versioned movement-quality evidence. The contribution is not a clinical efficacy claim. It is a staged artifact design and evaluation protocol for forming auditable candidate quantitative STS-quality standards, represented as labeled reference distributions rather than a single ideal movement.
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