NDLI: Classifying and using motion in organic indoor positioning

Content Provider	IEEE Xplore Digital Library
Author	Fialho, A. Cavalcante, A.M. Costa, A. Ledlie, J.
Copyright Year	2012
Description	Author affiliation: Nokia Institute of Technology (INdT), Manaus, Brazil (Fialho, A.; Cavalcante, A.M.; Costa, A.) \|\| Nokia Research Center, Cambridge, USA (Ledlie, J.)
Abstract	Current mobile devices continuously estimate their locations, allowing users to “check in”, find nearby friends and interests, and determine routes to their destinations. While underlying satellite, cell, and WiFi-based positioning systems can return an accurate and meaningful position in many cases, extending them to work energy-efficiently, particularly indoors, remains an open problem. In this work, we study energy-efficient and robust human-scale motion classifiers and their use in room-grain, collaborative indoor positioning systems. Previous work on improving energy-efficiency in positioning systems has assumed sensor input from an energy-cheaper alternative: using an accelerometer in lieu of GPS, for example. Unfortunately, even these alternative sensors are not practical for everyday use because of their own energy consumption, at least when sampled continuously. After studying what accelerometer sampling rates are feasible, we compare six methods for motion classification, two of which are new. We find that the existing simple statistical methods are not sufficiently robust with respect to different kinds of movement and different users, because the thresholds between movement and non-movement are too tight. In contrast we find that the two new, more sophisticated models, one based on Page-Hinkley statistics, and the other inspired by the Discrete Fourier Transform, provide a clearer differentiation between the two states. Only the Page-Hinkley-based one is as energy-efficient as the simple statistical methods, however. Through a WiFi geolocation system that relies on motion detection, we show how the choice of the underlying motion classifier can have a significant impact on user-perceived performance.
Starting Page	1
Ending Page	10
File Size	474859
Page Count	10
File Format	PDF
ISBN	9781467319553
e-ISBN	9781467319546
DOI	10.1109/IPIN.2012.6418896
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-13
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accelerometers Crowd-sourcing IEEE 802.11 Standards Geolocation Discrete Fourier transforms Discrete Fourier transform Detectors Page-Hinkley statistics Motion detection Robustness Energy efficiency
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

Efficient event detection in public transport tracking

Wi-Fi-Based Indoor Positioning Using Human-Centric Collaborative Feedback

Corner detection of contour images using continuous wavelet transform

Hybrid positioning system combining spatially continuous and discrete information for indoor location-based service

Robust Wi-Fi based indoor positioning with ensemble learning

A new technique for motion estimation of microorganisms in the Hartley domain

Order of N complexity transform domain adaptive filters

Sensor fused indoor positioning using dual band WiFi signal measurements

Personal Mobility Map Construction for Crowd-Sourced Wi-Fi Based Indoor Mapping

Classifying and using motion in organic indoor positioning

Similar Documents

Efficient event detection in public transport tracking

Wi-Fi-Based Indoor Positioning Using Human-Centric Collaborative Feedback

Corner detection of contour images using continuous wavelet transform

Hybrid positioning system combining spatially continuous and discrete information for indoor location-based service

Robust Wi-Fi based indoor positioning with ensemble learning

A new technique for motion estimation of microorganisms in the Hartley domain

Order of N complexity transform domain adaptive filters

Sensor fused indoor positioning using dual band WiFi signal measurements

Personal Mobility Map Construction for Crowd-Sourced Wi-Fi Based Indoor Mapping

Classifying and using motion in organic indoor positioning