{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:27:00Z","timestamp":1760956020839},"reference-count":24,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2020,5,1]]},"DOI":"10.1587\/transinf.2019edp7241","type":"journal-article","created":{"date-parts":[[2020,4,30]],"date-time":"2020-04-30T22:14:03Z","timestamp":1588284843000},"page":"1055-1066","source":"Crossref","is-referenced-by-count":2,"title":["Multi-Distance Function Trilateration over k-NN Fingerprinting for Indoor Positioning and Its Evaluation"],"prefix":"10.1587","volume":"E103.D","author":[{"given":"Makio","family":"ISHIHARA","sequence":"first","affiliation":[{"name":"Faculty of Information Engineering, Fukuoka Institute of Technology"}]},{"given":"Ryo","family":"KAWASHIMA","sequence":"additional","affiliation":[{"name":"Graduate School of Engineering, Fukuoka Institute of Technology"}]}],"member":"532","reference":[{"key":"1","unstructured":"[1] T. Sugihara, T. Fujinami, and R. Takatsuka, \u201cAn analysis of problems on development and installation of mimamori-care support camera system for persons with dementia in group home [in japanese],\u201d SOCIOTECHNICA, vol.7, pp.54-65, 2010."},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] M. Larizza, I. Zukerman, F. Bohnert, R.A. Russell, L. Busija, D.W. Albrecht, and G. Rees, \u201cStudies to determine user requirements regarding in-home monitoring systems,\u201d Proc. 20th International Conference on User Modeling, Adaptation, and Personalization, UMAP&apos;12, Berlin, Heidelberg, vol.7379, pp.139-150, Springer-Verlag, 2012. 10.1007\/978-3-642-31454-4_12","DOI":"10.1007\/978-3-642-31454-4_12"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] M. Shoji, \u201cPassive acoustic sensing of walking,\u201d 2009 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), pp.219-224, Dec. 2009. 10.1109\/issnip.2009.5416778","DOI":"10.1109\/ISSNIP.2009.5416778"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] L.T. Tam, A.C. Valera, H-.P. Tan, and C. Koh, \u201cOnline detection of behavioral change using unobtrusive eldercare monitoring system,\u201d Proc. 11th International Conference on Queueing Theory and Network Applications, QTNA &apos;16, New York, NY, USA, pp.16:1-16:8, ACM, 2016. 10.1145\/3016032.3016053","DOI":"10.1145\/3016032.3016053"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] C. Marie, E. Daniel, and C. Eric, \u201cElderly daily activity habits or lifestyle in their natural environments,\u201d Proc. 4th International Conference on PErvasive Technologies Related to Assistive Environments, PETRA &apos;11, New York, NY, USA, pp.26:1-26:4, ACM, 2011. 10.1145\/2141622.2141654","DOI":"10.1145\/2141622.2141654"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] H. Suzuki, K. Fujinami, H. Ohno, N. Mizukami, O. Sueda, and M. Ide, \u201cStride length and speed of the blind walking along tactile blocks in their daily routines [in japanese],\u201d Ergonomics, vol.37, no.4, pp.191-198, 2001. 10.5100\/jje.37.191","DOI":"10.5100\/jje.37.191"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] E.Q. Shahra, T.R. Sheltami, and E.M. Shakshuki, \u201cComparative study of fingerprint and centroid localization protocol using cooja,\u201d Procedia Computer Science, vol.98, pp.16-23, 2016. The 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2016)\/The 6th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2016)\/Affiliated Workshops. 10.1016\/j.procs.2016.09.006","DOI":"10.1016\/j.procs.2016.09.006"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] N. Nakajima, S. Tang, T. Ogishi, and S. Obana, \u201cImproving precision of ble-based indoor positioning by using multiple wearable devices,\u201d Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services, MOBIQUITOUS 2016, New York, NY, USA, pp.118-123, ACM, 2016. 10.1145\/3004010.3004041","DOI":"10.1145\/3004010.3004041"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] N. Fu, J. Zhang, W. Yu, and C. Wang, \u201cCrowdsourcing-based wifi fingerprint update for indoor localization,\u201d Proc. ACM Turing 50th Celebration Conference-China, ACM TUR-C &apos;17, New York, NY, USA, pp.34:1-34:9, ACM, 2017. 10.1145\/3063955.3063989","DOI":"10.1145\/3063955.3063989"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] F. Subhan, H. Hasbullah, A. Rozyyev, and S.T. Bakhsh, \u201cIndoor positioning in bluetooth networks using fingerprinting and lateration approach,\u201d 2011 International Conference on Information Science and Applications, pp.1-9, April 2011. 10.1109\/icisa.2011.5772436","DOI":"10.1109\/ICISA.2011.5772436"},{"key":"11","unstructured":"[11] A. Bose and C.H. Foh, \u201cA practical path loss model for indoor wifi positioning enhancement,\u201d 2007 6th International Conference on Information, Communications Signal Processing, pp.1-5, Dec 2007. 10.1109\/icics.2007.4449717"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] X. Fan, J. Wu, C. Long, and Y. Zhu, \u201cAccurate and low-cost mobile indoor localization with 2-d magnetic fingerprints,\u201d Proc. First ACM Workshop on Mobile Crowdsensing Systems and Applications, CrowdSenSys &apos;17, New York, NY, USA, pp.13-18, ACM, 2017. 10.1145\/3139243.3139244","DOI":"10.1145\/3139243.3139244"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] Y.-C. Tung and K.G. Shin, \u201cEchotag: Accurate infrastructure-free indoor location tagging with smartphones,\u201d Proc. 21st Annual International Conference on Mobile Computing and Networking, MobiCom &apos;15, New York, NY, USA, pp.525-536, ACM, 2015. 10.1145\/2789168.2790102","DOI":"10.1145\/2789168.2790102"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] G.-H. Yang and S.-B. Fu, \u201cResearch on indoor location algorithm based on wifi,\u201d Proc. International Symposium on Big Data and Artificial Intelligence, ISBDAI &apos;18, New York, NY, USA, pp.157-160, ACM, 2018. 10.1145\/3305275.3305306","DOI":"10.1145\/3305275.3305306"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] L. Yen, C.-H. Yan, S. Renu, A. Belay, H.-P. Lin, and Y.-S. Ye, \u201cA modified wknn indoor wi-fi localization method with differential coordinates,\u201d 2017 International Conference on Applied System Innovation (ICASI), pp.1822-1824, 2017. 10.1109\/icasi.2017.7988299","DOI":"10.1109\/ICASI.2017.7988299"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] B. Wang, Y. Zhao, T. Zhang, and X. Hei, \u201cAn improved integrated fingerprint location algorithm based on wknn,\u201d 2017 29th Chinese Control And Decision Conference (CCDC), pp.4580-4584, 2017. 10.1109\/ccdc.2017.7979306","DOI":"10.1109\/CCDC.2017.7979306"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] D. Han, S. Jung, M. Lee, and G. Yoon, \u201cBuilding a practical wi-fi-based indoor navigation system,\u201d IEEE Pervasive Comput., vol.13, no.2, pp.72-79, 2014. 10.1109\/mprv.2014.24","DOI":"10.1109\/MPRV.2014.24"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] S. Gao and S. Prasad, \u201cEmploying spatial analysis in indoor positioning and tracking using wi-fi access points,\u201d Proc. Eighth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, ISA &apos;16, New York, NY, USA, pp.27-34, ACM, 2016. 10.1145\/3005422.3005425","DOI":"10.1145\/3005422.3005425"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] A. Gholoobi and S. Stavrou, \u201cRss based localization using a new wknn approach,\u201d 2015 7th International Conference on Computational Intelligence, Communication Systems and Networks, pp.27-30, 2015. 10.1109\/cicsyn.2015.15","DOI":"10.1109\/CICSyN.2015.15"},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] W. Liu, X. Fu, Z. Deng, L. Xu, and J. Jiao, \u201cSmallest enclosing circle-based fingerprint clustering and modified-wknn matching algorithm for indoor positioning,\u201d 2016 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp.1-6, 2016. 10.1109\/ipin.2016.7743694","DOI":"10.1109\/IPIN.2016.7743694"},{"key":"21","doi-asserted-by":"publisher","unstructured":"[21] S. Subedi and J.-Y. Pyun, \u201cPractical fingerprinting localization for indoor positioning system by using beacons,\u201d Journal of Sensors, London, UK, vol.2017, pp.1-16, Hindawi, 2017. 10.1155\/2017\/9742170","DOI":"10.1155\/2017\/9742170"},{"key":"22","unstructured":"[22] M. Ishihara and R. Kawashima, \u201cA fingerprinting trilateration method ftm for indoor positioning,\u201d Proc. 33rd International Technical Conference on Circuits\/Systems, Computers and Communications, pp.422-425, 2018."},{"key":"23","doi-asserted-by":"crossref","unstructured":"[23] S. He, T. Hu, and S.H.G. Chan, \u201cContour-based trilateration for indoor fingerprinting localization,\u201d Proc. 13th ACM Conference on Embedded Networked Sensor Systems, SenSys &apos;15, New York, NY, USA, pp.225-238, ACM, 2015. 10.1145\/2809695.2809703","DOI":"10.1145\/2809695.2809703"},{"key":"24","unstructured":"[24] S. M and S. M, \u201cBluetooth 5 beacons: a novel design for indoor positioning,\u201d Proc. Second International Conference on Internet of things, Data and Cloud Computing-ICC &apos;17, pp.1-6, 2017. 10.1145\/3018896.3152306"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E103.D\/5\/E103.D_2019EDP7241\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,7]],"date-time":"2020-05-07T06:39:06Z","timestamp":1588833546000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E103.D\/5\/E103.D_2019EDP7241\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,1]]},"references-count":24,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2020]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2019edp7241","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,1]]}}}