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- W2900134528 abstract "In the current era of the Internet of Things (IoT), it is a necessary condition to sense and identify the human being to integrate smartness to the living space of human beings. State-of-the-art smart living environments have the goal of being ubiquitous and pervasive with minimal obstruction to the subject. In this respect, device-free and passive technologies are getting increasingly employed. One of the most widely used passive sensors is the Pyro Infrared (PIR) sensors to sense the presence of human being in an IoTized environment. However, they are typically used for presence and immobility monitoring only. Some researchers are using PIR sensors for human speed analysis and human tracking in an indoor scenario. In this work, we investigate the possibility of using the analog signals of PIR sensors for person identification, speed and direction estimation and intruder detection in a smart home styled environment. Our experimental results indicate the feasibility of using these sensors for identification, authentication and motion analysis of human subjects, among a group of 20 individuals. In an experimental setup, devices are switched on/off according to the individual in a shared living environment. With the PIR data performance of different techniques compared. Withal, the system is tested in the authentic scenario. Results prove the efficacy of the system proposed." @default.
- W2900134528 created "2018-11-16" @default.
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- W2900134528 date "2018-02-01" @default.
- W2900134528 modified "2023-09-26" @default.
- W2900134528 title "Analysis of Analog Signal from PIR-sensors for Human Analytics in an IOTized Environment" @default.
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- W2900134528 doi "https://doi.org/10.1109/iot-siu.2018.8519889" @default.
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