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UbiComp/ISWC 2015 PDR challenge corpus

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Nobuo KawaguchiAuthors Info & Claims

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Pages 696 - 704

https://doi.org/10.1145/2968219.2968276

Published: 12 September 2016 Publication History

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Abstract

PDR (Pedestrian Dead Reckoning) is a very promising technology for indoor positioning. We held a technical challenge, entitled the UbiComp/ISWC 2015 PDR Challenge, consisting of the following three categories: Algorithm, Evaluation, and Exhibition. In this paper, we specially focus on collected data for PDR algorithm category. UbiComp/ISWC participants equip smartphone by hand and walk around the particular floors. The pedestrian sensing data is collected. The number of our prepared route pattern is 5. Over two days, we collected the sensing data of 105 subjects. The total number of collected pedestrian sensing data was 343. After removing faulty data, this number was 241 and the number of unique subjects was 103. Sensor types are accelerometer, gyro, magnetic, and air pressure. We, PDR Challenge organizers, provide the corpus as UbiComp/ISWC 2015 PDR Challenge Corpus. The corpus contains ground truth of 3-D coordinates of the pedestrian sensing data for each second.

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Cited By

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Wang QFu MWang JLuo HSun LMa ZLi WZhang CHuang RLi XJiang ZLiang Q(2022)Recent Advances in Pedestrian Inertial Navigation Based on Smartphone: A ReviewIEEE Sensors Journal10.1109/JSEN.2022.321383622:23(22319-22343)Online publication date: 1-Dec-2022
https://doi.org/10.1109/JSEN.2022.3213836
Yoshida TUrano KAoki SYonezawa TKawaguchi N(2021)RGNet: Robust Gravity Estimation Neural Network for IMU-based Localization Using Smartphone2021 Thirteenth International Conference on Mobile Computing and Ubiquitous Network (ICMU)10.23919/ICMU50196.2021.9638853(1-8)Online publication date: 17-Nov-2021
https://doi.org/10.23919/ICMU50196.2021.9638853
Bousdar Ahmed DDiez LDiaz EGarcia Dominguez J(2020)A Survey on Test and Evaluation Methodologies of Pedestrian Localization SystemsIEEE Sensors Journal10.1109/JSEN.2019.293959220:1(479-491)Online publication date: 1-Jan-2020
https://doi.org/10.1109/JSEN.2019.2939592
Show More Cited By

Index Terms

UbiComp/ISWC 2015 PDR challenge corpus
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Geographic visualization
2. Information systems
  1. Information systems applications
    1. Spatial-temporal systems

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UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

September 2016

1807 pages

ISBN:9781450344623

DOI:10.1145/2968219

General Chairs:
Paul Lukowicz
DFKI and University of Kaiserslautern
,
Antonio Krüger
DFKI and Saarland University
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics
,
Youn-Kyung Lim
KAIST
,
Shwetak N. Patel
University of Washington

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Association for Computing Machinery

New York, NY, United States

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Published: 12 September 2016

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UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 12 - 16, 2016

Germany, Heidelberg

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Wang QFu MWang JLuo HSun LMa ZLi WZhang CHuang RLi XJiang ZLiang Q(2022)Recent Advances in Pedestrian Inertial Navigation Based on Smartphone: A ReviewIEEE Sensors Journal10.1109/JSEN.2022.321383622:23(22319-22343)Online publication date: 1-Dec-2022
https://doi.org/10.1109/JSEN.2022.3213836
Yoshida TUrano KAoki SYonezawa TKawaguchi N(2021)RGNet: Robust Gravity Estimation Neural Network for IMU-based Localization Using Smartphone2021 Thirteenth International Conference on Mobile Computing and Ubiquitous Network (ICMU)10.23919/ICMU50196.2021.9638853(1-8)Online publication date: 17-Nov-2021
https://doi.org/10.23919/ICMU50196.2021.9638853
Bousdar Ahmed DDiez LDiaz EGarcia Dominguez J(2020)A Survey on Test and Evaluation Methodologies of Pedestrian Localization SystemsIEEE Sensors Journal10.1109/JSEN.2019.293959220:1(479-491)Online publication date: 1-Jan-2020
https://doi.org/10.1109/JSEN.2019.2939592
Kurata T(2020)Sensing of Service Provision ProcessesService Engineering for Gastronomic Sciences10.1007/978-981-15-5321-9_4(67-85)Online publication date: 24-Jun-2020
https://doi.org/10.1007/978-981-15-5321-9_4
Ichikari RKaji KShimomura RKourogi MOkuma TKurata T(2019)Off-Site Indoor Localization Competitions Based on Measured Data in a WarehouseSensors10.3390/s1904076319:4(763)Online publication date: 13-Feb-2019
https://doi.org/10.3390/s19040763
Ichikari RShimomura RKourogi MOkuma TKurata T(2018)Review of PDR Challenge in Warehouse Picking and Advancing to xDR Challenge2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)10.1109/IPIN.2018.8533831(1-8)Online publication date: Sep-2018
https://doi.org/10.1109/IPIN.2018.8533831
Kurata TIchikari RShimomura RKaji KOkuma TKourogi M(2018)Making Pier Data Broader and Deeper:Mobile Computing, Applications, and Services10.1007/978-3-319-90740-6_1(3-17)Online publication date: 6-May-2018
https://doi.org/10.1007/978-3-319-90740-6_1

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Recommendations

A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors

Inertial/magnetic sensors based pedestrian dead reckoning by means of multi-sensor fusion

RecSys '15 Challenge: Proceedings of the 2015 International ACM Recommender Systems Challenge

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