Abstract

Mobile computing is one of upcoming technologies with different models and methods. In wireless we have a lot of efficient technologies that are improved a lot day by day. In mobile communication they had implement different sensors for roaming device to watch map and play games multi touch etc. In this project we are trying to find spatial density of people with the help of Bluetooth radiation, which may be of big help in finding various applications in various fields. For example, in the field of urban analysis, estimating spatial density is important to create evacuation plan, to plan a new location for department store, business people can use it to find the flow of people crowd and calculate and start their business accordingly. The spatial density of population is measure of people present in different location within an area of interest. This process takes place with the help of probes; probes may be of any form, example mobile, person, cameras etc. If the total population of the area of the interest is known, then the non monitored density can be found by minus the number of spatial density in monitored area. However, if the population size is unknown then estimating spatial density becomes more challenging as people present in non monitored area is unknown, and here is where pattern-likelihood maximization and sequence probability estimation is implemented.

Authors and Affiliations