Paper Info
Title
A Study and Estimation a Lost Person Behavior in Crowded Areas Using Accelerometer Data from Smartphones.
Abstract
As smartphones become more popular, applications are being developed with new and innovative ways to solve problems in the day-to-day lives of users. One area of smartphone technology that has been developed in recent years is human activity recognition (HAR). This technology uses various sensors that are built into the smartphone to sense a personu0027s activity in real time. Applications that incorporate HAR can be used to track a personu0027s movements and are very useful in areas such as health care. We use this type of motion sensing technology, specifically, using data collected from the accelerometer sensor. The purpose of this study is to study and estimate the person who may become lost in a crowded area. The application is capable of estimating the movements of people in a crowded area, and whether or not the person is lost in a crowded area based on his/her movements as detected by the smartphone. This will be a great benefit to anyone interested in crowd management strategies. In this paper, we review related literature and research that has given us the basis for our own research. We also detail research on lost person behavior. We looked at the typical movements a person will likely make when he/she is lost and used these movements to indicate lost person behavior. We then evaluate and describe the creation of the application, all of its components, and the testing process.
Year
Venue
Field
2018
COMPSAC
Health care,Activity recognition,Crowd management,Computer science,Accelerometer,Real-time computing,Human–computer interaction,Motion sensing
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Mohammed Balfas100.34
Sheikh Iqbal Ahamed264688.67
Chandana P. Tamma301.01
Muhammad Arif426645.68
Ahmed Kattan59613.23
William Chu612811.21