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Physical activity recognition in free-living from body-worn sensors., , , , , and . SenseCam, page 88-89. ACM, (2013)Discriminative Regions: A Substrate for Analyzing Life-Logging Image Sequences., , , , and . MMM (2), volume 8936 of Lecture Notes in Computer Science, page 357-368. Springer, (2015)Measuring time spent outdoors using a wearable camera and GPS., , , , , , , , , and . SenseCam, page 1-7. ACM, (2013)Using SenseCam images to assess the environment., , , , and . SenseCam, page 84-85. ACM, (2013)PALMS: A Modern Coevolution of Community and Computing Using Policy Driven Development., , , , and . HICSS, page 2735-2744. IEEE Computer Society, (2012)Developing Novel Machine Learning Algorithms to Improve Sedentary Assessment for Youth Health Enhancement., , , , , and . ICHI, page 375-379. IEEE Computer Society, (2016)Geospatial and contextual approaches to energy balance and health., , , , , , , , , and 2 other author(s). Ann. GIS, 21 (2): 157-168 (2015)Analyzing sedentary behavior in life-logging images., , , , , , and . ICIP, page 1011-1015. IEEE, (2014)SenseCam '13: Proceedings of the 4th International SenseCam and Pervasive Imaging Conference, , and . ACM, New York, NY, USA, (November 2013)ISBN 978-1-4503-2247-8.The feasibility of using SenseCams to measure the type and context of daily sedentary behaviors., , , , , , and . SenseCam, page 42-49. ACM, (2013)