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Multisensor data fusion for high accuracy positioning on mobile phones

Authors:

Stefan Ladstaetter,

Patrick Luley,

Alexander Almer,

Lucas PalettaAuthors Info & Claims

MobileHCI '10: Proceedings of the 12th international conference on Human computer interaction with mobile devices and services

Pages 395 - 396

https://doi.org/10.1145/1851600.1851682

Published: 07 September 2010 Publication History

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Abstract

Analysis of human geographical orientation is a crucial issue to understand the user's actual demand on context based information. As the limitations in accuracy of satellite based positioning especially in urban environments and network based positioning are well known, a novel framework concept based on data fusion of multiple sensors build-in handsets will enable to characterize the user's situation and allow automated analysis with semantic mapping functionality. In this paper, the first approach for high accuracy multi sensor orientation tracking by the use of a mobile phone is discussed.

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Cited By

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Sánchez-Hevia HAyllón DGil-Pita RRosa-Zurera M(2017)Indoor Self-Localization and Orientation Estimation of Smartphones Using Acoustic SignalsWireless Communications & Mobile Computing10.1155/2017/35348292017Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1155/2017/3534829
Ayllon DSanchez-Hevia HGil-Pita RManso MZurera M(2016)Indoor Blind Localization of Smartphones by Means of Sensor Data FusionIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2015.249462965:4(783-794)Online publication date: Apr-2016
https://doi.org/10.1109/TIM.2015.2494629
Ahn JWilliamson JGartrell MHan RLv QMishra S(2015)Supporting Healthy Grocery Shopping via Mobile Augmented RealityACM Transactions on Multimedia Computing, Communications, and Applications10.1145/280820712:1s(1-24)Online publication date: 21-Oct-2015
https://dl.acm.org/doi/10.1145/2808207
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Published In

MobileHCI '10: Proceedings of the 12th international conference on Human computer interaction with mobile devices and services

September 2010

552 pages

ISBN:9781605588353

DOI:10.1145/1851600

General Chairs:
Marco de Sá
LaSIGE & University of Lisboa, Portugal
,
Luís Carriço
LaSIGE & University of Lisboa, Portugal
,
Program Chair:
Nuno Correia
CITI & New University of Lisboa, Portugal

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Association for Computing Machinery

New York, NY, United States

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Published: 07 September 2010

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MobileHCI '10

MobileHCI '10: 12th International Conference on Human Computer Interaction with Mobile Devices and Services

September 7 - 10, 2010

Lisbon, Portugal

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MobileHCI '10 Paper Acceptance Rate 46 of 225 submissions, 20%;

Overall Acceptance Rate 202 of 906 submissions, 22%

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Sánchez-Hevia HAyllón DGil-Pita RRosa-Zurera M(2017)Indoor Self-Localization and Orientation Estimation of Smartphones Using Acoustic SignalsWireless Communications & Mobile Computing10.1155/2017/35348292017Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1155/2017/3534829
Ayllon DSanchez-Hevia HGil-Pita RManso MZurera M(2016)Indoor Blind Localization of Smartphones by Means of Sensor Data FusionIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2015.249462965:4(783-794)Online publication date: Apr-2016
https://doi.org/10.1109/TIM.2015.2494629
Ahn JWilliamson JGartrell MHan RLv QMishra S(2015)Supporting Healthy Grocery Shopping via Mobile Augmented RealityACM Transactions on Multimedia Computing, Communications, and Applications10.1145/280820712:1s(1-24)Online publication date: 21-Oct-2015
https://dl.acm.org/doi/10.1145/2808207
Lategahn JMuller MRohrig C(2014)Extended Kalman filter for a low cost TDoA/IMU pedestrian localization system2014 11th Workshop on Positioning, Navigation and Communication (WPNC)10.1109/WPNC.2014.6843307(1-6)Online publication date: Mar-2014
https://doi.org/10.1109/WPNC.2014.6843307
Lategahn JMuller MRohrig C(2014)Robust pedestrian localization in indoor environments with an IMU aided TDoA system2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN)10.1109/IPIN.2014.7275518(465-472)Online publication date: Oct-2014
https://doi.org/10.1109/IPIN.2014.7275518
Burigat SChittaro LBylund MJuhlin OFernaeus Y(2011)Pedestrian navigation with degraded GPS signalProceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services10.1145/2037373.2037407(221-230)Online publication date: 30-Aug-2011
https://dl.acm.org/doi/10.1145/2037373.2037407
Ahn JHan R(2011)RescueMe: An Indoor Mobile Augmented-Reality Evacuation System by Personalized Pedometry2011 IEEE Asia-Pacific Services Computing Conference10.1109/APSCC.2011.26(70-77)Online publication date: Dec-2011
https://doi.org/10.1109/APSCC.2011.26

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GPS/IMU data fusion using multisensor Kalman filtering: introduction of contextual aspects

Myoelectric Algorithm for Knee Angle Estimation Using Proprioceptive Data and a Compatibility Test

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