Location Inferring in Internet of Things and Big Data
W. Xi; J. Han; K. Li; Z. Jiang; H. Ding
Abstract
Indoor wireless sensing has spawned numerous applications in a wide range of living, production, commerce, and public services. Beyond smartphones, tablets and wearable devices, sensing ability will eventually be embedded and integrated in our living spaces. The increase of mobile computing has heightened the need for accurate, robust, and off-the-shelf indoor action recognition schemes. We utilize the Internet of Things (IoT) and Big Data technology to explore the relationship between wireless signal variation and human activities. We propose a robust indoor daily sensing framework, which can be categorized into device-based sensing ...
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