{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:12:20Z","timestamp":1760238740762,"version":"build-2065373602"},"reference-count":46,"publisher":"MDPI AG","issue":"17","license":[{"start":{"date-parts":[[2020,9,2]],"date-time":"2020-09-02T00:00:00Z","timestamp":1599004800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation","award":["MNR(KF-2018-03-038)"],"award-info":[{"award-number":["MNR(KF-2018-03-038)"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Most existing indoor navigation methods implicitly treat indoor users as ideal points. However, the ignorance of individual 3D indoor space needs may result in that navigation users do not have enough space or comfortable space to move in a real situation. Therefore, this paper proposes a novel human-oriented navigation approach that considers users\u2019 dimensions and interactions with indoor objects to establish comfortable navigable space. First, object space (O-Space) for users is derived according to their types (i.e., non-disabled people or disabled people) and functional space (F-Space) for indoor objects is determined according to their functions, locations, sizes, and interactions. Then, narrow gaps where users cannot pass through easily are calculated based on indoor obstacles defined by O-Space, the use of F-Space, and stationary objects. Finally, comfortable navigable space is established by excluding inappropriate sealed spaces that wrap indoor obstacles and narrow gaps of the entire indoor space. Two indoor navigation cases were conducted and the results demonstrate that our method could provide comfortable space and user-friendly paths that navigation users can navigate easily without stress. Furthermore, our method also shows great potential for improving user experience during navigation, especially in unfamiliar indoor environments and even emergencies.<\/jats:p>","DOI":"10.3390\/s20174964","type":"journal-article","created":{"date-parts":[[2020,9,2]],"date-time":"2020-09-02T09:29:28Z","timestamp":1599038968000},"page":"4964","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Generating Comfortable Navigable Space for 3D Indoor Navigation Considering Users\u2019 Dimensions"],"prefix":"10.3390","volume":"20","author":[{"given":"Wenjie","family":"Zhen","sequence":"first","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China"},{"name":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, Shenzhen 518040, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China"},{"name":"State Key Laboratory of Geo-information Engineering, Xi\u2019an 710054, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8602-9258","authenticated-orcid":false,"given":"Mei-Po","family":"Kwan","sequence":"additional","affiliation":[{"name":"Department of Geography and Resource Management, and Institute of Space and Earth Information Science, Fok Ying Tung Remote Sensing Science Building, The Chinese University of Hong Kong, Hong Kong 780206, China"},{"name":"Department of Human Geography and Spatial Planning, Utrecht University, 3584 CB Utrecht, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7219-0948","authenticated-orcid":false,"given":"Zejun","family":"Zuo","sequence":"additional","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoyue","family":"Qian","sequence":"additional","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shunping","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Geography and Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China"},{"name":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources, Shenzhen 518040, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,9,2]]},"reference":[{"key":"ref_1","unstructured":"Kikiras, P., Tsetsos, V., and Hadjiefthymiades, S. (2006, January 28). Ontology-based user modeling for pedestrian navigation systems. Proceedings of the ECAI 2006 Workshop on Ubiquitous User Modeling (UbiqUM), Riva del Garda, Italy."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1080\/10095020.2015.1126071","article-title":"What about people in pedestrian navigation?","volume":"18","author":"Fang","year":"2015","journal-title":"Geo-Spat. Inf. Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1016\/j.pmcj.2013.01.002","article-title":"A framework for pedestrian comfort navigation using multi-modal environmental sensors","volume":"9","author":"Dang","year":"2013","journal-title":"Pervasive Mob. Comput."},{"key":"ref_4","first-page":"39","article-title":"Qualitative evaluation of comfort needs in urban walkways in major activity centers","volume":"57","author":"Sarkar","year":"2003","journal-title":"Transport. Q."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"82","DOI":"10.3141\/1773-10","article-title":"Modeling the roadside walking environment: Pedestrian level of service","volume":"1773","author":"Landis","year":"2001","journal-title":"Transport. Res. Rec."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.trb.2017.03.010","article-title":"Scalable space-time trajectory cube for path-finding: A study using big taxi trajectory data. Transp","volume":"101","author":"Yang","year":"2017","journal-title":"Res. Part B"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Spagnol, S., Hoffmann, R., Mart\u00ednez, M.H., and Unnthorsson, R. (2018). Blind wayfinding with physically-based liquid sounds. Int. J. Hum-Comput. St., S1071581918300600.","DOI":"10.1016\/j.ijhcs.2018.02.002"},{"key":"ref_8","unstructured":"Bessho, M., Kobayashi, S., Koshizuka, N., and Sakamura, K. (August, January 28). uNavi: Implementation and deployment of a place-based pedestrian navigation system. Proceedings of the 32nd Annual IEEE International Computer Software and Applications Conference, Washington, DC, USA."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1315","DOI":"10.1080\/13658810802421115","article-title":"An indoor routing algorithm for the blind: Development and comparison to a routing algorithm for the sighted","volume":"23","author":"Swobodzinski","year":"2009","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Kruminaite, M., and Zlatanova, S. (2014, January 4\u20137). Space subdivision for indoor navigation. Proceedings of the Sixth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, Dallas, TX, USA.","DOI":"10.1145\/2676528.2676529"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.compenvurbsys.2003.08.002","article-title":"Emergency response after 9\/11: The potential of real-time 3D GIS for quick emergency response in micro-spatial environments","volume":"29","author":"Kwan","year":"2005","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.compenvurbsys.2016.10.009","article-title":"Location-based service using ontology-based semantic queries: A study with a focus on indoor activities in a university context","volume":"62","author":"Lee","year":"2017","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1039","DOI":"10.1080\/13658810500399043","article-title":"A combinatorial data model for representing topological relations among 3D geographic features in micro-spatial environment","volume":"19","author":"Lee","year":"2005","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.isprsjprs.2010.11.003","article-title":"Modelling and analysing 3D buildings with a primal\/dual data structure","volume":"66","author":"Boguslawski","year":"2011","journal-title":"ISPRS J. Photogramm."},{"key":"ref_15","unstructured":"Liu, L., and Zlatanova, S. (2011, January 3\u20138). A \u201cdoor-to-door\u201d path-finding approach for indoor navigation. Proceedings of the Seventh GeoInformation for Disaster Management Conference, Antalya, Turkey."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1111\/j.1467-8659.2004.00782.x","article-title":"Crowd of virtual humans: A new approach for real time navigation in complex and structured environments","volume":"23","author":"Fabrice","year":"2004","journal-title":"Comput. Graph. Forum"},{"key":"ref_17","first-page":"85","article-title":"Spatial models for context-aware indoor navigation systems: A survey","volume":"1","author":"Afyouni","year":"2012","journal-title":"J. Spat. Inf. Sci."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Yuan, W., and Schneider, M. (2010). iNav: An indoor navigation model supporting length-dependent optimal routing. Geospatial Thinking, Springer.","DOI":"10.1007\/978-3-642-12326-9_16"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1111\/1467-8659.00267","article-title":"Space discretization for efficient human navigation","volume":"17","author":"Bandi","year":"1998","journal-title":"Comput. Graph. Forum"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1007\/s12145-016-0279-x","article-title":"Free multi-floor indoor space extraction from complex 3D building models","volume":"10","author":"Xiong","year":"2016","journal-title":"Earth Sci. Inform."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1162","DOI":"10.1080\/13658816.2019.1566549","article-title":"Mining spatiotemporal association patterns from complex geographic phenomena","volume":"34","author":"He","year":"2020","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Khan, A.A., Yao, Z., and Kolbe, T.H. (2015). Context aware indoor route planning using semantic 3D building models with cloud computing. 3D Geoinformation Science, Springer.","DOI":"10.1007\/978-3-319-12181-9_11"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Richter, K.F., Winter, S., and R\u00fcetschi, U. (2009, January 18\u201320). Constructing hierarchical representations of indoor spaces. Proceedings of the Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, Taipei, Taiwan.","DOI":"10.1109\/MDM.2009.117"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Lee, J., and Zlatanova, S. (2009). A multilayered space-event model for navigation in indoor spaces. 3D Geo-Information Sciences, Springer.","DOI":"10.1007\/978-3-540-87395-2"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Afyouni, I., Ray, C., and Claramunt, C. (2010, January 2). A fine-grained context-dependent model for indoor spaces. Proceedings of the Second ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, New York, NY, USA.","DOI":"10.1145\/1865885.1865894"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1080\/13658816.2017.1376066","article-title":"Spatial subdivision of complex indoor environments for 3D indoor navigation","volume":"32","author":"Zlatanova","year":"2018","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Jayakody, A., Nawarathna, A., Wijesinghe, I., Liyanage, S., and Dissanayake, J. (2019, January 5\u20137). Smart wheelchair to facilitate disabled individuals. Proceedings of the International Conference on Advancements in Computing (ICAC), Malabe, Sri Lanka.","DOI":"10.1109\/ICAC49085.2019.9103409"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.robot.2018.02.002","article-title":"Passenger discomfort map for autonomous navigation in a robotic wheelchair","volume":"103","author":"Morales","year":"2018","journal-title":"Robot. Auton. Syst."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Kim, E. (2016). Wheelchair navigation system for disabled and elderly people. Sensors, 16.","DOI":"10.3390\/s16111806"},{"key":"ref_30","unstructured":"US ATBCB (1991). Americans with Disabilities Act (ADA) Accessibility Guidelines for Buildings and Facilities, United States, Architectural and Transportation Barriers Compliance Board (US ATBCB). Fed. Regist., 56, 173."},{"key":"ref_31","unstructured":"Berg, M.D., Cheong, O., Kreveld, M.V., and Overmars, M. (2008). Computational Geometry: Algorithms and Applications, Springer. [3rd ed.]."},{"key":"ref_32","unstructured":"Coenen, S., Steinbuch, M.M., Molengraft, V.D.M., Lunenburg, J., and Naus, G. (2012). Motion Planning for Mobile Robots\u2014A Guide. [Master\u2019s Thesis, Eindhoven University of Technology]."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/S1474-0346(01)00003-9","article-title":"A performance-based approach to wheelchair accessible route analysis","volume":"16","author":"Han","year":"2002","journal-title":"Adv. Eng. Inform."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Bacao, F., Santos, M.Y., and Painho, M. (2015). Automated generation of indoor accessibility information for mobility-impaired individuals. AGILE 2015, Springer.","DOI":"10.1007\/978-3-319-16787-9"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"04019050","DOI":"10.1061\/(ASCE)CP.1943-5487.0000865","article-title":"Evaluation of preference- and constraint-sensitive path planning for assisted navigation in indoor building environments","volume":"34","author":"Mantha","year":"2019","journal-title":"J. Comput. Civil Eng."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"04017038","DOI":"10.1061\/(ASCE)CP.1943-5487.0000687","article-title":"Task allocation and route planning for robotic service networks in indoor building environments","volume":"31","author":"Mantha","year":"2017","journal-title":"J. Comput. Civil Eng."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"2821","DOI":"10.3390\/ijgi4042821","article-title":"An approach for indoor path computation among obstacles that considers user dimension","volume":"4","author":"Liu","year":"2015","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1017\/S037346331900047X","article-title":"AccessVOR: A semantically enriched Vorono\u00ef-based approach for navigation assistance of wheelchair users in indoor environments","volume":"73","author":"Yaagoubi","year":"2020","journal-title":"J. Navig."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.jflm.2018.02.011","article-title":"Estimation of stature from hand and foot dimensions in a Korean population","volume":"55","author":"Kim","year":"2018","journal-title":"J. Forensic Leg. Med."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.jcfm.2006.10.008","article-title":"Estimation of stature from dimensions of hands and feet in a north Indian population","volume":"14","author":"Krishan","year":"2007","journal-title":"J. Forensic Leg. Med."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1002\/ca.20146","article-title":"Stature estimation based on hand length and foot length","volume":"18","author":"Sanli","year":"2010","journal-title":"Clin. Anat."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1134","DOI":"10.1520\/JFS13129J","article-title":"Height estimation from foot and shoeprint length","volume":"36","author":"Giles","year":"1991","journal-title":"J. Forensic Sci."},{"key":"ref_43","unstructured":"Hall, E.T. (1969). The Hidden Dimension, Anchor Books."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Bosina, E., Meeder, M., Beda, B., and Weidmann, U. (2016). Avoiding walls: What distance do pedestrians keep from walls and obstacles?. Traffic and Granular Flow, Springer.","DOI":"10.1007\/978-3-319-33482-0_3"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1023\/A:1015273816637","article-title":"A social robot that stands in line","volume":"12","author":"Nakauchi","year":"2002","journal-title":"Auton. Robots"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"488","DOI":"10.1137\/0213031","article-title":"Convex partitions of polyhedra: A lower bound and worst-case optimal algorithm","volume":"13","author":"Chazelle","year":"1984","journal-title":"SIAM J. 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