{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T17:44:56Z","timestamp":1782841496139,"version":"3.54.5"},"reference-count":0,"publisher":"ECMS","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,23]]},"abstract":"<jats:p>Indoor and outdoor localization systems are now essential tools for delivering Internet of Things (IoT)-based services across a range of fields, including smart buildings, industrial automation, and healthcare. These systems primarily aim to determine the position of users or objects within a given environment. Due to the abundance of electronic devices in these settings, localization techniques that utilize device interactions, such as fingerprinting, offer a cost-effective and accurate solution. However, the fingerprinting approach involves a time-intensive mapping phase, and training and executing the associated localization algorithm can impose demanding time, energy, and computational resource requirements.\n\n\nIn this context, our paper introduces a practical system that eliminates the need for time-consuming environment mapping by leveraging radio signal emitters within the environment. Our approach achieved localization accuracy with an error range between 1.5 $m^2$ (best) - 6.5 $m^2$ (worst). Additionally, we collect human activity data from accelerometer, gyroscope, and magnetometer sensors to develop pattern recognition models for everyday activities.<\/jats:p>","DOI":"10.7148\/2026-0443","type":"proceedings-article","created":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T16:55:14Z","timestamp":1782838514000},"page":"443-452","source":"Crossref","is-referenced-by-count":0,"title":["Eliminating the impact of the offline mapping phase in fingerprinting-based localization techniques"],"prefix":"10.7148","author":[{"given":"Florenc","family":"Demrozi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Tonini","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cristian","family":"Turetta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Graziano","family":"Pravadelli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"4144","published-online":{"date-parts":[[2026,6,23]]},"event":{"name":"40th ECMS International Conference on Modelling and Simulation"},"container-title":["ECMS 2026 Proceedings edited by Filippo Sanfilippo, Florenc Demrozi, Fabio Sgarbossa, Mohammad Poursina"],"original-title":[],"deposited":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T16:55:17Z","timestamp":1782838517000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.scs-europe.net\/dlib\/2026\/ecms2026acceptedpapers\/0443_simai_ecms2026_0120.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,23]]},"references-count":0,"URL":"https:\/\/doi.org\/10.7148\/2026-0443","relation":{},"subject":[],"published":{"date-parts":[[2026,6,23]]}}}