• Bushranaz Akhter
• Suresh Gawande

There are many techniques exists, by which we can position humans using wireless devices such as smart phones in an outdoor environment using GPS, global positioning system. It is unfortunate that, this technology does not work in indoor environments. In hospitals when tracking hospital beds and patients, in prisons in ord er to track prisoners, in malls when a customer is searching for a store and in smart home to control electronic appliances motion detection and localization is necessary. Indoor positioning could also be used to analyze human behaviour. There are many several methods and techniques existing today that could benefit to an indoor positioning solution, all of them provide different results. We can localize the human target by using distributed wireless pyroelectric infrared (PIR) sensor. The localization algorithm is used to get the data stream generated from different PIR sensor nodes within the wireless network. The Kalman Filter and Kalman Smoother are utilized to refine the estimation of the human position. We conduct simulations in a Matlab environment using Fuzzy Inference System Modeling tool and the average root-mean-square error (RMSE) of one or more human target tracking at different speed. The promising result confirmed the efficiency of our system.

: Wireless Sensor Node, PIR, Motion Detection, RMSE, FKF.

"Using PIR Sensor Node and Distributed Wireless To Implement Human Localization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.277-280, May-2019, Available :http://www.jetir.org/papers/JETIRBV06060.pdf

"Using PIR Sensor Node and Distributed Wireless To Implement Human Localization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp277-280, May-2019, Available at : http://www.jetir.org/papers/JETIRBV06060.pdf