Abstract
The development of chips, sensors, and tele-communication, etc., with integrated sensing brings more opportunities to monitor various aspects of personal behavior and context. Especially, with the widespread use of intelligent devices and smart home infrastructure, it is more possible and convenient to sense users’ daily life. Two common information of daily life is location and activity. Location information can reveal the places of important events. Activity information can expose users’ health conditions. Besides these two kinds of information, other context also can be useful for assisting living. Hence, in this chapter, we will introduce some state-of-the-art user context sensing techniques under smart home infrastructure, including accurate indoor localization, fine-grained activity recognition, and pervasive context sensing. With the continuous sensing of location, activity, and other contextual information, it is possible to discovery users’ life patterns which are crucial for health monitoring, therapy, and other services. What is more, it will bring more opportunities for improving the quality of peoples’ life.
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Chen, Y. (2020). Pervasive Sensing. In: Chen, F., García-Betances, R., Chen, L., Cabrera-Umpiérrez, M., Nugent, C. (eds) Smart Assisted Living. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-25590-9_1
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