NDLI: Indoor pedestrian tracking system exploiting multiple receivers on the body

Content Provider	IEEE Xplore Digital Library
Author	Correa, A. Barcelo, M. Morell, A. Lopez Vicario, J.
Copyright Year	2014
Abstract	During the past years, the development of indoor localization systems has been a hot topic in research because the Global Navigation Satellite Systems (GNSS) suffer from a significant performance degradation as far as line of sight to the satellites is not available. The proposed system employs the Received Signal Strength Indicator (RSSI) from multiple anchor nodes from a operating Wireless Sensor Network (WSN). Additionally, we place multiple receivers around the body of the user and thanks to machine learning techniques, we are able to estimate the distance and angle between the user and any of the anchor nodes of the WSN. This allows us to estimate the heading of the user without the use of inertial sensors or magnetometers. Finally the position estimate of the user is refined using an Extended Kalman Filter (EKF) with the constant velocity kinematic model. The system has been validated in real scenarios obtaining a Root Mean Square Error (RMSE) below the meter for the different tests performed, which is similar to the accuracies achieved by inertial-sensors-based systems.
Starting Page	518
Ending Page	525
File Size	1083093
Page Count	8
File Format	PDF
ISBN	9781467380546
DOI	10.1109/IPIN.2014.7275524
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Wireless sensor networks Indoor navigation Linear regression Estimation Receivers Position measurement
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Indoor Pedestrian Tracking by On-Body Multiple Receivers

Accurate radio distance estimation by phase measurements with multiple frequencies

An indoor pedestrian positioning system based on inertial measurement unit and wireless local area network

Sensor fusion for indoor navigation and tracking of automated guided vehicles

Indoor localization based on bi-phase measurements for wireless sensor networks

Indoor mobile robot and pedestrian localization techniques

Knowledge-based error detection and correction method of a Multi-sensor Multi-network positioning platform for pedestrian indoor navigation

A wearable embedded inertial platform with wireless connectivity for indoor position tracking

Node location estimation scheme in wireless sensor networks based on support vector regression

Indoor pedestrian tracking system exploiting multiple receivers on the body

Similar Documents

Indoor Pedestrian Tracking by On-Body Multiple Receivers

Accurate radio distance estimation by phase measurements with multiple frequencies

An indoor pedestrian positioning system based on inertial measurement unit and wireless local area network

Sensor fusion for indoor navigation and tracking of automated guided vehicles

Indoor localization based on bi-phase measurements for wireless sensor networks

Indoor mobile robot and pedestrian localization techniques

Knowledge-based error detection and correction method of a Multi-sensor Multi-network positioning platform for pedestrian indoor navigation

A wearable embedded inertial platform with wireless connectivity for indoor position tracking

Node location estimation scheme in wireless sensor networks based on support vector regression

Indoor pedestrian tracking system exploiting multiple receivers on the body