Perception, assessment, and coaching: a systematic review and taxonomy of computer vision-based physical rehabilitation techniques
Abstract
The digital transformation of rehabilitation training has become a public health imperative driven by a global demand that outstrips professional medical resources and is compounded by a deficit in public rehabilitation literacy. As traditional hospital-centric models reach their scalability limits, there is a critical necessity for accessible home-based care solutions to ensure patients do not miss optimal recovery windows. To evaluate computer vision as a potential solution, this paper conducts a systematic review following the PRISMA 2020 reporting framework. We identify that its clinical migration faces a profound "Paradigm Gap" across three critical domains which this study aims to address: (1) the Perception Domain, where algorithms are constrained by inherent reconstruction ambiguities and pathological data scarcity; (2) the Assessment Domain, where a "semantic gap" persists between low-level features and clinical reasoning; and (3) the Coaching Domain, where feedback mechanisms fail to translate summative "Knowledge of Results (KR)" into actionable "Knowledge of Performance (KP)." We formulate and adopt "Perception, Assessment, and Coaching (PAC)" as a novel taxonomy to serve as a logical grid for systematically analyzing existing literature and elucidating technical pathways required to resolve these clinical challenges. This review synthesizes the technological landscape into three evolutionary trajectories: (1) In Perception, research is shifting toward…
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