PhaseAware: Interpretable Human-in-the-Loop Rehabilitation Scoring with Boundary Monitoring
Rehabilitation scoring systems are most useful when their outputs can be reviewed and interpreted within clinical workflows. This study presents PhaseAware, a compact framework for continuous rehabilitation quality assessment that combines a temporal backbone with phase- and body-group descriptors through a backbone-conditioned gated residual pathway. The model was evaluated on the UI-PRMD deep-squat protocol and further tested on the KIMORE squatting subset. On UI-PRMD, PhaseAware achieved an RMSE of 0.0230, corresponding to an 88.9% reduction relative to the accepted baseline. It also mainta
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- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%modular/modular →
“Shared author/contributor keys: liu”
- FuzzyOverlapping authors or contributors · 62%TauricResearch/TradingAgents →
“Shared author/contributor keys: xiao”
- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- LinkedLinked via arxiv author · 85%Yankai Zheng →
“PhaseAware: Interpretable Human-in-the-Loop Rehabilitation Scoring with Boundary Monitoring”
- LinkedLinked via arxiv author · 85%Yuhe Liu →
“PhaseAware: Interpretable Human-in-the-Loop Rehabilitation Scoring with Boundary Monitoring”
- LinkedLinked via arxiv author · 85%Yuxin Ma →
“PhaseAware: Interpretable Human-in-the-Loop Rehabilitation Scoring with Boundary Monitoring”
- LinkedLinked via arxiv author · 85%Tianci Xue →
“PhaseAware: Interpretable Human-in-the-Loop Rehabilitation Scoring with Boundary Monitoring”