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Although the WiFi\u2010based indoor localization has been widely explored in many works by employing received signal strength (RSS) patterns as the features, they usually lead to inaccurate results as the RSS could be easily affected by the indoor environmental dynamics. Besides, existing methods are computationally intensive, which have a high time consumption that makes them unsuitable for real\u2010life applications. In order to deal with those issues, we propose to use standardizing waveform tendency (SWT) of RSS for indoor positioning. We show that the proposed SWT is robust to the noise generated by the dynamic environment. We further develop a novel smartphone indoor positioning system by integrating SWT and kernel extreme learning machine (KELM) algorithm. Extensive real\u2010world positioning experiments are conducted to demonstrate the superiority of our proposed model in terms of both positioning accuracy and robustness to environmental changes when comparing with state\u2010of\u2010the\u2010art baselines.<\/jats:p>","DOI":"10.1155\/2021\/8291773","type":"journal-article","created":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T01:08:53Z","timestamp":1638320933000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Indoor Positioning System Based on Standardizing Waveform Tendency"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5982-7497","authenticated-orcid":false,"given":"Xiaohua","family":"Li","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3171-8889","authenticated-orcid":false,"given":"Ge","family":"Yu","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,11,30]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3076269"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.23919\/J.CC.2020.07.018"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2016.7498078"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2016.1500177WC"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.3390\/s16020268"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2018.2866592"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2018.2828044"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2016.2608518"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2986685"},{"key":"e_1_2_9_10_2","doi-asserted-by":"crossref","unstructured":"ZayetsA.andSteinbachE. 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