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Automated Ecological Assessment Of Physical Activity: Advancing Direct Observation., Jordan A. Carlson, Bo Liu, James F. Sallis, Jacqueline Kerr, J Aaron Hipp, Vincent S. Staggs, Amy Papa, Kelsey Dean, Nuno M. Vasconcelos
Automated Ecological Assessment Of Physical Activity: Advancing Direct Observation., Jordan A. Carlson, Bo Liu, James F. Sallis, Jacqueline Kerr, J Aaron Hipp, Vincent S. Staggs, Amy Papa, Kelsey Dean, Nuno M. Vasconcelos
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Technological advances provide opportunities for automating direct observations of physical activity, which allow for continuous monitoring and feedback. This pilot study evaluated the initial validity of computer vision algorithms for ecological assessment of physical activity. The sample comprised 6630 seconds per camera (three cameras in total) of video capturing up to nine participants engaged in sitting, standing, walking, and jogging in an open outdoor space while wearing accelerometers. Computer vision algorithms were developed to assess the number and proportion of people in sedentary, light, moderate, and vigorous activity, and group-based metabolic equivalents of tasks (MET)-minutes. Means and standard deviations (SD) …