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The emergence of pose estimation algorithms represents a potential paradigm shift in the study and assessment of human movement. Human pose estimation algorithms leverage advances in computer vision to track human movement automatically from simple videos recorded using common household devices with relatively low-cost cameras (e.g., smartphones, tablets, laptop computers). In our view, these technologies offer clear and exciting potential to make measurement of human movement substantiallydoi:10.3390/s21217315 pmid:34770620 pmcid:PMC8588262 fatcat:r44djxt72fg63g62goyh5jao3y