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Connecting personal-scale sensing and networked community behavior to infer human activities
2014
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '14 Adjunct
Advances in mobile and wearable devices are making it feasible to deploy sensing systems at a large-scale. However, slower progress in being made in activity recognition which remains often unreliable in everyday environments. In this paper, we investigate how to leverage the increasing capacity to gather data at a population-scale towards improving existing models of human behavior. Specifically, we consider the various social phenomena and environmental factors that cause people to develop
doi:10.1145/2632048.2636094
dblp:conf/huc/LanePZZ14
fatcat:tpkci4jvz5gmdb3l7tl36xe6ya