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Anyuser Navigation

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Universal Navigation on Smartphones

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Abstract

Anyuser navigation is the capability of UNAVIT to provide navigation assistance that will best meet the needs and preferences of users which may vary greatly. In order to better understand users’ needs and preferences, users are grouped into the following five categories: general population, mobility-impaired, visually-impaired, cognitively-impaired and elderly. Current navigation systems primarily address the needs and preferences of the general population category and fall short in handling the special needs and preferences of users in the other four categories. There are permanent physical barriers in both outdoor and indoor environments that affect mobility of users in each category. Examples of permanent environmental barriers in outdoor sidewalk segments include slope, surface, and curbs; those in indoor hallway networks might include protruding objects and width. There are also temporary environmental barriers in both the outdoors and indoors that affect mobility of users in each category. Examples of such temporary barriers in the outdoors are snow, rain, and darkness; barriers that might exist indoors include construction and out-of-order elevators.

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Further Readings

  • Ali AM, Nordin MJ (2009) Indoor navigation to support the blind person using weighted topological map. In: International Conference on Electrical Engineering and Informatics (ICEEI ’09), pp 68–72 Malaysia.

    Google Scholar 

  • Ali AM, Nordin MJ (2009) Vision based reconstruction multi-clouds of scale invariant feature transform features for indoor navigation. Journal of Computer Science 5:948–955.

    Article  Google Scholar 

  • Al-Rousan M (2005) Webchair: A web-based wireless navigation wheelchair system for people with motor disabilities. International Journal of Computers and Applications 27:274–284.

    Article  Google Scholar 

  • Amemiya T, Sugiyama H (2009) Navigation in eight cardinal directions with pseudo-attraction force for the visually impaired. In: IEEE International Conference on Systems, Man and Cybernetics (SMC 2009), pp 27–32 Texas, USA.

    Google Scholar 

  • AndĂł B, Ascia A (2007) Navigation aids for the visually impaired: From artificial codification to natural sensing. IEEE Instrumentation and Measurement Magazine 10:44–51.

    Google Scholar 

  • Aono Y, Oichi A, Tadokoro Y (1997) Walking navigation system for the visually impaired using a guide stick. Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi) 119:69–79.

    Article  Google Scholar 

  • Beale L, al e (2006) Mapping for wheelchair users: route navigation in urban spaces. The Cartographic Journal 43:68–81.

    Article  Google Scholar 

  • Beale L, Field K, Briggs D, Picton P, Matthews H (2006) Mapping for wheelchair users: route navigation in urban spaces. The Cartographic Journal 43:68–681.

    Article  Google Scholar 

  • Bebek O, Suster MA, Rajgopal S, Fu MJ, Huang X, Çavuolu MC, Young DJ, Mehregany M, Van Den Bogert AJ, Mastrangelo CH (2010) Personal Navigation via High-Resolution Gait-Corrected Inertial Measurement Units. IEEE Transactions on Instrumentation and Measurement.

    Google Scholar 

  • Bekiaris E, Mousadakou MPA (2007) Elderly and Disabled Travelers Needs in Infomobility Services. In: 4th International Conference on Universal Access in Human-Computer Interaction (UAHCI 2007), pp 853–860 Beijing, China.

    Google Scholar 

  • Bogdanov I, Tiponut V, Mirsu R (2009) New achievements in assisted movement of visually impaired in outdoor environments. WSEAS Transactions on Circuits and Systems 8:757–768.

    Google Scholar 

  • Bourbakis N (2008) Sensing surrounding 3-D space for navigation of the blind. IEEE Engineering in Medicine and Biology Magazine 27:49–55.

    Article  Google Scholar 

  • Calder DJ (2009) Travel Aids For The Blind—The digital ecosystem solution. In: 7th IEEE International Conference on Industrial Informatics (INDIN 2009), pp 149–154 Osaka, Japan.

    Google Scholar 

  • Chang YJ, Chu YY, Chen CN, Wang TY (2008) Mobile computing for indoor wayfinding based on bluetooth sensors for individuals with cognitive impairments. In: 3rd International Symposium on Wireless Pervasive Computing (ISWPC 2008), pp 623–627 Santorini.

    Google Scholar 

  • Chang YJ, Wang TY (2010) Indoor wayfinding based on wireless sensor networks for individuals with multiple special needs. Cybernetics and Systems 41:317–333.

    Article  MathSciNet  Google Scholar 

  • Chang YJ, Yan-Ru C, Chang CY, Wang TY (2009) Video prompting and indoor wayfinding based on bluetooth beacons: A case study in supported employment for people with severe mental illness. In: International Conference on Communications and Mobile Computing (CMC ’09), vol. 3, pp 137–141.

    Article  Google Scholar 

  • Chien JC, Lu BY, Lai JS, Luh J, Chong FC, Kuo TS (2010) Electric compass aided global positioning system navigation for powered wheelchairs. Disability and Rehabilitation: Assistive Technology 5:223–229.

    Article  Google Scholar 

  • Choudhury MH, Barreto A (2003) Design of a multi-sensor sonar system for indoor range measurement as a navigational aid for the blind. Biomedical Sciences Instrumentation 39:30–35.

    Google Scholar 

  • CortĂ©s U, Urdiales C, Annicchiarico R, BarruĂ© C, Martinez AB, Caltagirone YC (2007) Assistive Wheelchair Navigation: a cognitive view, Advanced Computational Intelligence Paradigms. In: Healthcare, vol. 48 (Yoshida, H. et al., eds), pp 165–187: Springer Berlin / Heidelberg.

    Google Scholar 

  • Dakopoulos D, Bourbakis NG (2010) Wearable obstacle avoidance electronic travel aids for blind: A survey. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 40:25–35.

    Article  Google Scholar 

  • Ding D, Parmanto B, Karimi HA, Roongpiboonsopit D, Pramana G, Conahan T, Kasemsuppakorn P (2007) Design Considerations for a Personalized Wheelchair Navigation System. In: the 29th Annual International Conference of the IEEE EMBS Lyon, France.

    Google Scholar 

  • Dodson AH, Moon GV, Moore T, Jones D (1999) Guiding blind pedestrians with a personal navigation system. Journal of Navigation 52:330–341.

    Article  Google Scholar 

  • Falco JM, Idiago M, Delgado AR, Marco A, Asensio A, Cirujano D (2010) Indoor Navigation Multi-agent System for the Elderly and People with Disabilities. In: 8th International Conference on Practical Applications of Agents and Multiagent Systems, pp 437–442 Salamanca, Spain.

    Google Scholar 

  • Fezari M (2007) A navigation system for a wheelchair user based on a multi-modal design. In: Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems, pp 479–482 Marrakech, Morocco.

    Google Scholar 

  • Fickas S, Sohlberg M, Hung P-F (2008) Route-following assistance for travelers with cognitive impairments: A comparison of four prompt modes. International Journal of Human-Computer Studies 66:876–888.

    Article  Google Scholar 

  • Gaunet F (2006) Verbal guidance rules for a localized wayfinding aid intended for blind-pedestrians in urban areas. Universal Access in the Information Society 4:338–353.

    Article  Google Scholar 

  • Golledge RG, Loomis JM, Klatzky RL, Flury A, Xiao Li Y (1991) Designing a personal guidance system to aid navigation without sight: progress on the GIS component. International Journal of Geographical Information Systems 5:373–395.

    Article  Google Scholar 

  • Grasse R (2010) Assisted Navigation for Persons with Reduced Mobility: Path Recognition Through Particle Filtering (Condensation Algorithm). Journal of intelligent & robotic systems.

    Google Scholar 

  • Hagethorn FN (2008) Creating design guidelines for a navigational aid for mild demented pedestrians. In: Proceeding of European Conference AmI, pp 276–289 Nuremberg, Germany.

    Google Scholar 

  • Harrison B, Wu H, Marshall A, Yu W (2004) The ENABLED Indoor/Outdoor Navigation Systems for the Blind and Visually Impaired. In: IEEE ICT Brazil.

    Google Scholar 

  • Hirahara Y, Sakurai Y, Shiidu Y, Yanashima K, Magatani K (2006) Development of the navigation system for the visually impaired by using white cane. Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Conference 1:4893–4896.

    Google Scholar 

  • Hirtle S, Karimi H, Brusilovosky P Collaborative navigational assistance for specialized populations. In: the proceedings of "You Are Here 2: 2nd Workshop on Spatial Awareness and Geographic Knowledge Acquisition with Small Mobile Devices",Spatial Cognition 2010, Mt. Hood, Oregon, 2010.

    Google Scholar 

  • Holone H, Misund G (2008) People Helping Computers Helping People: Navigation For People With Mobility Problems By Sharing Accessibility Annotations. In: the International Conference on Computers Helping People with Special Needs (ICCHP’08), vol. 5105 / 2008, pp 1093–1100: LNCS 5105, Springer, Heidelberg.

    Book  Google Scholar 

  • Hub A, Diepstraten, J., Ertl, T. (2004) Design and Development of an Indoor Navigation and Object Identification System for the Blind. In: ACM SIGACCESS conference on Computers and accessibility, pp 147–152 Atlanta, GA, USA.

    Google Scholar 

  • Hub A, Hartter T, Kombrink S, Ertl T (2008) Real and virtual explorations of the environment and interactive tracking of movable objects for the blind on the basis of tactile-acoustical maps and 3D environment models. Disability and rehabilitation Assistive technology 3:57–68.

    Article  Google Scholar 

  • Hunaiti Z, Garaj V, Balachandran W (2006) A remote vision guidance system for visually impaired pedestrians. Journal of Navigation 59:497–504.

    Article  Google Scholar 

  • Hunaiti Z, Garaj V, Balachandran W (2009) An assessment of a mobile communication link for a system to navigate visually impaired people. IEEE Transactions on Instrumentation and Measurement 58:3263–3268.

    Article  Google Scholar 

  • Hunaiti Z, Garaj V, Balachandran W (2009) An assessment of a mobile communication link for a system to navigate visually impaired people. IEEE Transactions on Instrumentation and Measurement 58:3263–3268.

    Article  Google Scholar 

  • Jacobson RD (1996) Auditory beacons in environment and model: an orientation and mobility development tool for visually impaired people. Swansea Geographer 33:49–66.

    Google Scholar 

  • Kalia A, Legge G, Roy R, Ogale A (2010) Assessment of Indoor Route-finding Technology for People Who Are Visually Impaired. Journal of Visual Impairment & Blindness, 104:135–147.

    Google Scholar 

  • Kaluwahandi S, Tadokoro Y (2001) Study of a portable traveling support system using image processing for the visually impaired. Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers 55:1499–1505.

    Article  Google Scholar 

  • Karimanzira D, Otto P, Wernstedt J (2006) Application of machine learning methods to route planning and navigation for disabled people. In: The 25th IASTED International Conference Lanzarote.

    Google Scholar 

  • Kasemsuppakorn P, Karimi H Data requirements and spatial database for personalized wheelchair navigation. In: 2nd International Convention on Rehabilitation Engineering & Assistive Technology, Bangkok, Thailand.

    Google Scholar 

  • Kasemsuppakorn P, Karimi HA (2009) Personalised routing for Wheelchair Navigation. Journal of Location Based Services 3:24–54.

    Article  Google Scholar 

  • Kawamura T, Umezu K, Ohsuga A (2010) Mobile Navigation System for the Elderly—Preliminary Experiment and Evaluation. In: Proceeding of 5th International Conference, UIC 2008, pp 578–590 Oslo, Norway.

    Google Scholar 

  • Kim L, Park S, Lee S, Ha S (2009) An electronic traveler aid for the blind using multiple range sensors. IEICE Electronics Express 6:794–799.

    Article  Google Scholar 

  • Klatzky RL, Marston JR, Giudice NA, Golledge RG, Loomis JM (2006) Cognitive load of navigating without vision when guided by virtual sound versus spatial language. Journal of Experimental Psychology: Applied 12:223–232.

    Article  Google Scholar 

  • Ladetto Q, Merminod B (2002) In step with INS: Navigation for the blind, tracking emergency crews. GPS World 13:30–38.

    Google Scholar 

  • Lin PC, Chien LW (2010) The effects of gender differences on operational performance and satisfaction with car navigation systems. International Journal of Human Computer Studies.

    Google Scholar 

  • Liu XF, Ma JG, Cen M (2008) Analysis of Z axis moving state of three-axis photoelectric tracking system in blind region of horizontal photoelectric tracking system. Guangzi Xuebao/Acta Photonica Sinica 37:2067–2071.

    Google Scholar 

  • Liu Y-C (2003) Effects of using head-up display in automobile context on attention demand and driving performance. Displays 24:157–165.

    Article  Google Scholar 

  • Loomis JM, Marston JR, Golledge RG, Klatzky RL (2005) Personal guidance system for people with visual impairment: A comparison of spatial displays for route guidance. Journal of Visual Impairment and Blindness 99:219–232.

    Google Scholar 

  • Mahmud AA, Mubin O, Shahid S (2009) User experience with in-car GPS navigation systems: Comparing the young and elderly drivers.

    Google Scholar 

  • Marco A, Casas R, Falco J, Gracia H, Artigas JI, Roy A (2008) Location-based services for elderly and disabled people. Computer Communications 31:1055–1066.

    Article  Google Scholar 

  • Matthews H, al. e (2003) Modelling access with GIS in urban systems (MAGUS): capturing the experience of wheelchair users. Area 35:34–45.

    Article  Google Scholar 

  • Nordin MJ, Ali AM (2009) Indoor navigation and localization for visually impaired people using weighted topological map. Journal of Computer Science 5:883–889.

    Article  Google Scholar 

  • Ă–ktem R, Aydin E (2010) An RFID based indoor tracking method for navigating visually impaired people. Turkish Journal of Electrical Engineering and Computer Sciences 18:185–196.

    Google Scholar 

  • Oomes AH, Bojic M, Bazen G (2009) Supporting Cognitive Collage Creation for Pedestrian Navigation. In: Proceedings of the 8th International Conference on Engineering Psychology and Cognitive Ergonomics: Held as Part of HCI International 2009, pp 111–119 San Diego, CA.

    Google Scholar 

  • Pereira M, Bruyas MP, SimĂłes A (2010) Are elderly drivers more at riskwhen interacting with morethan one in-vehicle system simultaneously? Travail Humain 73:53–73.

    Article  Google Scholar 

  • Petrie H, Johnson V, Strothotte T, Raab A, Fritz S, Michel R (1996) MOBIC : Designing a travel aid for blind and elderly people. Journal of Navigation 49:45–52.

    Article  Google Scholar 

  • Postolache O (2009) UbiSmartwheel—A ubiquitous system with unobtrusive services embedded on a wheelchair. In: The 3rd International Conference on PErvasive Technologies Related to Assistive Environments (PETRA’09) Corfu, Greece.

    Google Scholar 

  • Prabu I (2008) GPS and GIS for the blind: A navigation kit for the visually impaired. GIM International 22:40–41.

    Google Scholar 

  • Punwilai J, Noji T, Kitamura H (2009) The design of a voice navigation system for the blind in negative feelings environment. In: 9th International Symposium on Communications and Information Technology (ISCIT 2009), pp 53–58 Icheon, South Korea.

    Google Scholar 

  • Ran L, Helal S, Moore S (2004) Drishti: An Integrated Indoor/Outdoor Blind Navigation System and Service. In: The Second Annual Conference on Pervasive Computing and Communications, pp 23–30 Orlando, FL, USA.

    Google Scholar 

  • Rashid O, Dunbar A, Fisher S, Rutherford J (2010) Users helping users: User generated content to assist wheelchair users in an urban environment. pp 213–219.

    Google Scholar 

  • Ren M, Karimi H (2009) A chain-code-based map matching algorithm for wheelchair navigation. Transactions in GIS 13 (2):197–214.

    Article  Google Scholar 

  • Ren M, Karimi H (2009) A hidden Markov model-based map-matching algorithm for wheelchair navigation. The Journal of Navigation 62 (3):383–395.

    Article  Google Scholar 

  • Riehle TH, Lichter P, Giudice NA (2008) An indoor navigation system to support the visually impaired. Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Conference 2008:4435–4438.

    Google Scholar 

  • Sáenz M (2009) Indoor position and orientation for the blind. In: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction, pp 236–245 San Diego, CA, USA.

    Google Scholar 

  • Sáenza M, Sáncheza J (2010) Indoor orientation and mobility for learners who are blind. Annual Review of CyberTherapy and Telemedicine 8:131–134.

    Google Scholar 

  • Sainarayanan G, Nagarajan R, Yaacob S (2007) Fuzzy image processing scheme for autonomous navigation of human blind. Applied Soft Computing Journal 7:257–264.

    Article  Google Scholar 

  • Sánchez J (2009) Mobile audio navigation interfaces for the blind. In: Proceedings of 5th International Conference (UAHCI 2009) Held as Part of HCI International 2009, pp 402–411 San Diego, CA, USA.

    Google Scholar 

  • Sánchez J, Sáenz M (2010) Metro navigation for the blind. Computers and Education.

    Google Scholar 

  • Scherlen AC, Dumas JC, Guedj B, Vignot A (2007) "RecognizeCane" : The new concept of a cane which recognizes the most common objects and safety clues. Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Conference 2007:6357–6360.

    Google Scholar 

  • Seto FT (2009) A navigation system for the visually impaired using colored navigation lines and RFID tags. Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Conference 2009:831–834.

    Google Scholar 

  • Sheehan B, Burton E, Mitchell L (2006) Outdoor wayfinding in dementia. Sage Publications 5:271–281.

    Google Scholar 

  • Shen H, Chan KY, Coughlan J, Brabyn J (2008) A mobile phone system to find crosswalks for visually impaired pedestrians. Technology and Disability 20:217–224.

    Google Scholar 

  • Shiizu Y, Hirahara Y, Yanashima K, Magatani K (2007) The development of a white cane which navigates the visually impaired. Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Conference 2007:5005–5008.

    Google Scholar 

  • Shoval S, Borenstein J, Koren Y (1998) Auditory guidance with the navbelt-a computerized travel aid for the blind. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 28:459–467.

    Article  Google Scholar 

  • Shoval S, Borenstein J, Koren Y (1998) The NavBelt—A computerized travel aid for the blind based on mobile robotics technology. IEEE Transactions on Biomedical Engineering 45:1376–1386.

    Article  Google Scholar 

  • Simpson R, LoPresti E, Hayashi S, Guo S, Ding D, Ammer W, Sharma V, Cooper R (2005) A prototype power assist wheelchair that provides for obstacle detection and avoidance for those with visual impairments. Journal of NeuroEngineering and Rehabilitation 2.

    Google Scholar 

  • Sobek AD, Miller HJ (2006) U-access: A web-based syastem for routing pedestrians of differing abilities. Journal of Geographical Systems 8:269–287.

    Article  Google Scholar 

  • Stankiewicz BJ, Cassandra AR, McCabe MR, Weathers W (2007) Development and Evaluation of a Bayesian Low-Vision Navigation Aid. IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans 37:970–983.

    Article  Google Scholar 

  • Swobodzinski M, Raubal M (2009) An indoor routing algorithm for the blind: Development and comparison to a routing algorithm for the sighted. International Journal of Geographical Information Science 23:1315–1343.

    Article  Google Scholar 

  • Taha T (2010) POMDP-based long-term user intention prediction for wheelchair navigation. In: Proceedings of the 2008 IEEE International Conference on Robotics and Automation, pp 3920–3925 Pasadena, CA, USA.

    Google Scholar 

  • Takatori N, Nojima K, Matsumoto M, Yanashima K, Magatani K (2006) Development of voice navigation system for the visually impaired by using IC tags. Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Conference 1:5181–5184.

    Google Scholar 

  • Tao Y, Wang T, Wei H, Chen D (2010) A navigation method based on POMDP for smart wheelchair in uncertain environments. High Technology Letters 16:164–170.

    Google Scholar 

  • Thapar N, Warner G, Drainoni M, Williams R, Ditchfield H (2004) A pilot of study of functional access to public buildings and facilities for persons with impairments. Disability and Rehabilitation 26:280–289.

    Article  Google Scholar 

  • Urdiales C (2009) Adaptive collaborative assistance for wheelchair driving via CBR learning. In: IEEE International Conference on Rehabilitation Robotics (ICORR 2009), pp 731–736 Kyoto, Japan.

    Google Scholar 

  • Urdiales C (2009) A metrics review for performance evaluation on assisted wheelchair navigation. In: Lecture notes in computer science, pp 1145–1152.

    Google Scholar 

  • Vanhooydonck D, Demeester E, HĂĽntemann A, Philips J, Vanacker G, Van Brussel H, Nuttin M (2010) Adaptable navigational assistance for intelligent wheelchairs by means of an implicit personalized user model. Robotics and Autonomous Systems 58:963–977.

    Article  Google Scholar 

  • Völkel T, Gerhard G (2007) A New Approach for Pedestrian Navigation for Mobility Impaired Users Based on Multimodal Annotation of Geographical Data. In: Proceeding of 4th International Conference on Universal Access in Human-Computer Interaction (UAHCI 2007) Held as Part of HCI International 2007, pp 575–584 Beijing, China.

    Article  Google Scholar 

  • Völkel T, Weber G (2008) RouteCheckr: Personalized multicriteria routing for mobility impaired pedestrians. In: The 10th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’08), pp 185–192.

    Google Scholar 

  • Wada C (2009) Basic study on presenting distance information to the blind for navigation. In: 2009 Fourth International Conference on Innovative Computing, Information and Control Kaohsiung, Taiwan

    Google Scholar 

  • Yang S, Mackworth AK (2007) Route Planning and Scheduling for Wheelchair Users. In: the Festival of International Conferences on Caregiving, Disability, Aging and Technology (FICCDAT) Toronto, Canada.

    Google Scholar 

  • Zeng Q (2007) Evaluation of the collaborative wheelchair assistant system. In: IEEE 10th International Conference on Rehabilitation Robotics (ICORR’07), pp 601–608 Noordwijk, Ă«the Beach of AmsterdamĂ­, Netherlands.

    Google Scholar 

  • Zeng Q (2008) User evaluation of a collaborative wheelchair system. In: Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS’08), pp 1956–1960 Vancouver, British Columbia, Canada.

    Google Scholar 

  • Zhang J, Ong SK, Nee AYC (2009) Design and Development of a Navigation Assistance System for Visually Impaired Individuals. In: Proceedings of the 3rd International Convention on Rehabilitation Engineering & Assistive Technology (ICREAT ’09), pp 1–4 Singapore.

    Google Scholar 

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  1. Geoinformatics Laboratory, University of Pittsburgh School of Information Sciences, 135 N. Bellefield Ave., 15260, Pittsburgh, Pennsylvania, USA

    Hassan A. Karimi

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Karimi, H.A. (2011). Anyuser Navigation. In: Universal Navigation on Smartphones. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-7741-0_7

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