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Adding location to the available information enables a new category of applications. With the constrained battery on cell phones, energy-efficient localization becomes an important challenge. In this paper we introduce a low-energy calibration- free localization scheme based on the available internal sensors in many of today's phones. We start by energy profiling the different sensors that can be...
This paper presents a novel human activity recognizer used to estimate a user's activities with sensors on a widespread consumer mobile device. Our recognizer can estimate a user's means of migration by using a combination of an acceleration sensor and a GPS. We evaluate the accuracy rate of the estimation with cellular phones carried freely and the result is 90.6 percent even in the case of intermittent...
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