Title: Location Update Accuracy in Human Tracking system using Zigbee modules
ArXiv ID: 0912.1019
Date: 2009-12-08
Authors: Researchers from original ArXiv paper
📝 Abstract
A location and tracking system becomes very important to our future world of pervasive computing. An algorithm for accurate location information is being incorporated in the human walking model and in the blind human walking model. We want to implement an accurate location tracking mechanism using Zigbee along with GPS, we have incorporated Markov chain algorithm for establishing accuracy. Normal Human and blind human walking steps were actually taken in the known environment within our campus and the Markov chain algorithm was used for smoothening the stepwise variation in location updates. A comparison module is also implemented to show the difference between normal human and blind human walking step variations. This accuracy is used for designing a blind tracking device so that the device can be used by the blind for finding the path without obstacles. We present a system level approach to localizing and tracking Human and blind users on a basis of different sources of location information [GPS plus Zigbee]. The system can be applied outdoors especially for avoiding accidents, GPS as the source of location data. Performance evaluation shows that the system is accurate and it is a future path finding device with service for the blind.
💡 Deep Analysis
Deep Dive into Location Update Accuracy in Human Tracking system using Zigbee modules.
A location and tracking system becomes very important to our future world of pervasive computing. An algorithm for accurate location information is being incorporated in the human walking model and in the blind human walking model. We want to implement an accurate location tracking mechanism using Zigbee along with GPS, we have incorporated Markov chain algorithm for establishing accuracy. Normal Human and blind human walking steps were actually taken in the known environment within our campus and the Markov chain algorithm was used for smoothening the stepwise variation in location updates. A comparison module is also implemented to show the difference between normal human and blind human walking step variations. This accuracy is used for designing a blind tracking device so that the device can be used by the blind for finding the path without obstacles. We present a system level approach to localizing and tracking Human and blind users on a basis of different sources of location info
📄 Full Content
(IJCSIS) International Journal of Computer Science and Information Security,
Vol. 6, No. 2, 2009
Location Update Accuracy in Human Tracking
system using Zigbee modules
Abstract:
A location and tracking system becomes very important to
our future world of pervasive computing. An algorithm for
accurate location information is being incorporated in the
human walking model and in the blind human walking
model. We want to implement an accurate location tracking
mechanism using Zigbee along with GPS, we have
incorporated Markov chain algorithm for establishing
accuracy. Normal Human and blind human walking steps
were actually taken in the known environment within our
campus and the Markov chain algorithm was used for
smoothening the stepwise variation in location updates. A
comparison module is also implemented to show the
difference between normal human and blind human walking
step variations. This accuracy is used for designing a blind
tracking device so that the device can be used by the blind
for finding the path without obstacles. We present a system-
level approach to localizing and tracking Human and blind
users on a basis of different sources of location information
[GPS + Zigbee]. The system can be applied outdoors
especially for avoiding accidents, GPS as the source of
location data. Performance evaluation shows that the system
is accurate and it is a future path finding device with service
for the blind.
Keywords: Localization, context awareness, blind walk, normal
walk, Zigbee, GPS.
1. INTRODUCTION
A system-level approach to the problem of localizing and
tracking a human user who assumed to be carrying a
device for locating is considered in this paper. The device
is GPS along with a Zigbee module which consists of an
odometer for stepwise location measurement. This device
estimates its location by using GPS as it is incorporated
within the device itself. System architecture for a sensor
network for human tracking and for the benefit of the
blind persons to identify their future path stressed the
necessity of the sensor localization.
A Human tracker should track accurately for long
sequences; self-start; track the person independent of
activity; be robust to drift situations; track multiple people
simultaneously; track through occlusions; and be
computationally efficient and to provide accurate
location estimation/ It could avoid background noises to be
subtracted for enhancing accuracy; Tracking People is
difficult, because people can move very fast. Whereas the
blind person cannot move as fast as a normal human. We
can use the configuration in the current observation and a
dynamic model to predict the next observation which has to
be synchronized to be equal to the actual measurement.
These predictions can then be refined using the Markov
chain estimates to Co ordinate the Human Body observation
Derived from GPS Tracker.
The purpose of Human Tracking for improving accuracy is
to provide a better service to tracking people and observing
obstacle will be more useful for Security in known and
unknown environments, Safety for a normal Human and
Blind human was being analyzed according to their walking
step variations. This system can be used for tracking normal
and blind human against an application/module; the
additional features available in our system are steps
observation, obstacle detection, user access control, report
generators and emergency situation alert.
A human tracking device in which we incorporated Markov
Chain algorithm to stably tracks a human with good
perception of the distance with high resistance against
disturbance and also to use the same device for blind for
perceptional differences.
1.1 LITERATURE SURVEY The present day human tracking devices and related
techniques have used many number of monitoring systems
that monitors intruders. Recently, studies for treating a
human image contained in a camera image by image-
processing have been very popularly made. Many papers
dealt with a method for detecting moving objects using time-
lapse of sequential camera images. In some, a human is
represented in a particular way with three blob models so as
to track him. This concept based on the blob models is based
on PFinder developed by MIT Media Lab.[1-2] 1.1.1. Active Badge, Active Bat
Information technology and ubiquitous computing are very
important subjects in our era. The advancements in these
B.Amutha ,
M.Ponnavaikko
Research Scholar,
Vice Chancellor
SRM University,
Bharathidasan University
Chennai,Tamil Nadu,India.