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Grassroots activity for standardization on PDR (Pedestrian Dead Reckoning) benchmarking

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PDR Benchmark Standardization Committee
ISO IEC/JTC 1/SC 24/WG 9 meeting (2016/1/14)

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Grassroots activity for standardization on PDR (Pedestrian Dead Reckoning) benchmarking

  1. 1. Grassroots activity for standardization on PDR (Pedestrian Dead Reckoning) benchmarking Takeshi Kurata (AIST, Japan) PDR Benchmark Standardization Committee ISO IEC/JTC 1/SC 24/WG 9 meeting (2016/1/14)
  2. 2. PDR Business Launched in Japan in 2015 Collaboration among NTT Docomo, ZDC, AKM, and AIST. A PDR driven Indoor navigation mobile app was released in Apr, 2015. (320 areas including subways and underground shopping arcades all across Japan) Collaboration between MegaChips and AIST. Sensor Hub LSI “Frizz” was released in Jan, 2015 and MegaChips plans to sell 10 million Frizz products in 2015. (Power-aware motion coprocessor optimized for PDR) 2 • M. Kourogi and T. Kurata, Personal positioning based on walking locomotion analysis with self-contained sensors and a wearable camera. ISMAR2003, pp. 103–112, (2003).
  3. 3. Global Trend on PDR PDR R&D players have rapidly exposed all over the world on and after 2010. Movea (France) Sensor Platforms (USA) CSR (UK) TRX (USA) Trusted Positioning (Canada) 3 Acquired by QualcommAcquired by InvenSenseAcquired by InvenSense Acquired by Audience Indoo.rs (USA) SFO
  4. 4. Standardization on PDR Benchmarking • PDR related R&D is highly active worldwide: Necessity for sharing common measures. • Description of the performance should be unified in spec sheets and scientific papers. • Different measures from absolute positioning methods such as GNSS, Wi-Fi, and BLE are required for PDR, which is a method of relative positioning. • PDR Benchmark Standardization Committee was established in 2014 as a platform of the grassroots activity. 4 https://www.facebook.com/pdr.bms
  5. 5. Support Organizations Asahi Kasei Corporation, INTEC Inc., MTI Ltd., KDDI R&D Laboratories, Inc., KOKUSAI KOGYO CO., LTD., SHIBUYA KOGYO CO., LTD., Koozyt, Inc., SITESENSING, inc., Sugihara Software and Electron Industry Co., Ltd. (SSEI), Information Services International-Dentsu, Ltd. (ISID), Hitachi, Ltd., MULTISOUP CO.,LTD., Milldea, LLC, Murata Manufacturing Co., Ltd., MegaChips Corporation, Recruit Lifestyle Co., Ltd. (Ushida), RICOH COMPANY, LTD., Aichi Institute of Technology (Kaji), Akashi National College of Technology (Arai), Kanagawa Institute of Technology (Tanaka), Keio University (Haruyama, Kohtake, Nakajima), University of Tsukuba (Kurata), Tokyo Institute of Technology (Okada), Nagoya University (Kawaguchi), Niigata University (Makino), Ritsumeikan University (Nishio), National Institute of Advanced Industrial Science and Technology (AIST) (Kurata, Kourogi), HASC: Human Activity Sensing Consortium, LISRA: Location Information Service Research Agency (29 organizations in Japan as of August, 2015) 5
  6. 6. Activity Examples in Japan 6 Kickoff meeting of the committee (2014/05/22) 1st seminar in Location Business Japan (LBJ) (2014/06/11) 2nd meeting of the committee (2015/05/19) 2nd seminar in LBJ (2015/06/13) Organized session in HCG (Human Communication Group) symposium (2014/12/17)
  7. 7. View Model A view model (in systems engineering, software engineering, and enterprise engineering) is a framework which defines a coherent set of views to be used in the construction of a system architecture, software architecture, or enterprise architecture. • Viewpoint: Specification for an individual view • View: Representation of a whole system from the perspective of a viewpoint • Wikipedia: https://en.wikipedia.org/wiki/View_model • ISO/IEC/IEEE 42010:2011, Systems and software engineering - Architecture description • ISO/IEC 10746-1, Information technology - Open Distributed Processing - Reference model: Overview 7
  8. 8. View Model • Enterprise viewpoint, which is concerned with the purpose and behaviors of the system as it relates to the business objective and the business processes of the organization • Information viewpoint, which is concerned with the nature of the information handled by the system and constraints on the use and interpretation of that information • Computational viewpoint, which is concerned with the functional decomposition of the system into a set of components that exhibit specific behaviors and interact at interfaces • Engineering viewpoint, which is concerned with the mechanisms and functions required to support the interactions of the computational components • Technology viewpoint, which is concerned with the explicit choice of technologies for the implementation of the system, and particularly for the communications among the components 8
  9. 9. View Model • Enterprise viewpoint, which is concerned with the purpose and behaviors of PDR benchmark as it relates to the benchmark objective and the benchmark processes of the organization • Information viewpoint, which is concerned with the nature of the information handled by PDR benchmark and constraints on the use and interpretation of that information • Computational viewpoint, which is concerned with the functional decomposition of PDR benchmark into a set of components that exhibit specific behaviors and interact at interfaces • Engineering viewpoint, which is concerned with the mechanisms and functions required to support the interactions of the computational components • Technology viewpoint, which is concerned with the explicit choice of technologies for the implementation of PDR benchmark, and particularly for the communications among the components • Takeshi Kurata, PDR Benchmark: View Models and Case Studies, UbiComp/ISWC 2015 PDR Challenge 9
  10. 10. Datasets (Intrinsic factors, Extrinsic factors, Initial conditions) Datasets (Intrinsic factors, Extrinsic factors, Initial conditions) Benchmark indicators (Reliability, Temporality, Variety) Benchmark indicators (Reliability, Temporality, Variety) Organization, Process on how to get benchmark resultsOrganization, Process on how to get benchmark results Computational viewpoint Information viewpoint Technology viewpoint Engineering viewpoint Enterprise viewpoint Matrices of Viewpoints and X 10 Repeatability Efficiency TransparencyPrecision Representativeness Traceability Completeness StrictnessAccuracy Properties/ Features/ Constraints PDR R&D player Hybrid Positioning R&D player (PDR-tech user) End-User JudgeStakeholders
  11. 11. Discussion • Which SC/WG or ISOs would be appropriate for submitting an NP on PDR benchmark if right time comes? • WG 9, “Augmented Reality Continuum Concepts and Reference Model”, would be appropriate. • However, SC 24, “Computer graphics, image processing and environmental data representation”, might not be directly connected to PDR. 11 Geospatial Techs (Positioning, Navigation) Geospatial Techs (Positioning, Navigation) MAR: Mixed and Augmented Reality MAR: Mixed and Augmented Reality Social Cyber Physical (Ubiquitous, Wearable, IoT) Social Cyber Physical (Ubiquitous, Wearable, IoT) MAR Tracking Benchmark PDR Benchmark
  12. 12. Competitions: IPIN and the others (cf. EvAAL presentation in IPIN 2105) 12 IPIN year EvAAL, IPSN, UbiComp/ISWC Zurich, Switzerland 2010 universAAL is launched Guimaraes, Portugal 2011 EvAAL: indoor localization Sidney, Australia 2012 EvAAL: + activity recognition Montbeliard, France 2013 EvAAL: same as 2012 Busan, Korea 1st IPIN competition 2014 EvAAL: 3 floors, smartphone IPSN: infrastruc. based + free Banff, Canada EvAAL-ETRI comp. 2015 EvAAL-ETRI: 6 floors, on/off-site IPSN: same as 2014 UbiComp/ISWC: 2 floors, smartphone PDR, 90 subjects http://evaal.aaloa.org/files/EvAAL%20web%20presentation%202015.pdf
  13. 13. Indoor Positioning Competitions • PDR Challenge in UbiComp/ISWC 2015 – http://ubicomp.org/ubicomp2015/challenge.html • EvAAL-ETLI in IPIN 2015 – http://evaal.aaloa.org/ • MicroSoft Indoor Localization Competition in IPSN – http://research.microsoft.com/en- us/events/indoorloccompetition2015/default.aspx 13 K. Kaji, N. Kawaguchi, A Performance Report of Ubicomp/ISWC 2015 PDR Challenge, 2015-12-HCGSYMPO.
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