NDLI: Crowdsourcing Based Mobile Location Recognition with Richer Fingerprints from Smartphone Sensors

Content Provider	IEEE Xplore Digital Library
Author	Hao Wang Dong Zhao Huadong Ma Huaiyu Xu Xiabing Hou
Copyright Year	2015
Description	Author affiliation: Sch. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing, China (Hao Wang; Dong Zhao; Huadong Ma; Huaiyu Xu; Xiabing Hou)
Abstract	With the rapid advancements of mobile computing, mobile location recognition is becoming an important and useful service, which recognizes the logical locations of places/scenes that users are interested in, instead of physical coordinates. Most of the existing mobile location recognition systems utilize the image as visual fingerprint of a place, and need to construct a large-scale visual fingerprint database in advance. However, collecting visual fingerprints is a labor-intensive and time-consuming procedure. In order to address this problem, we propose a novel crowdsourcing-based framework, and leverage a variety of sensors embedded in smartphones to collect richer location fingerprints for exploring their positive effects. To achieve higher recognition accuracy, we propose an object-centric fingerprint searching which can sufficiently take advantage of smartphone sensors and determine more accurate searching space than the traditional user-centric method. We build a crowdsourcing-based database with richer fingerprints and implement a location recognition system, called CrowdLR. Extensive experiments verify that our object-centric method can achieve promising results maintaining around 10% precision higher than the user-centric method.
Starting Page	156
Ending Page	163
File Size	1218179
Page Count	8
File Format	PDF
ISSN	15219097
e-ISBN	9780769557854
DOI	10.1109/ICPADS.2015.28
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-14
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Search problems Sensors Fingerprint recognition Servers Visualization Global Positioning System Object-centric Mobile Location Recognition Crowdsourcing Fingerprint Smartphone Sensor
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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
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