{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T19:59:38Z","timestamp":1773691178123,"version":"3.50.1"},"reference-count":25,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,12,20]],"date-time":"2021-12-20T00:00:00Z","timestamp":1639958400000},"content-version":"vor","delay-in-days":353,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Sensors"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>Based on the Internet of Things technology, this paper analyzes the concept and basic characteristics of visualization technology and builds a visualization digital art product information system based on VRML virtual reality technology. This article first explains the background and significance, analyzes the research status at home and abroad, introduces the application of virtual realization technology, and puts forward the technical route and main research content on this basis. After field inspection of art products, the system was analyzed according to the actual situation. After analyzing the needs and goals of the system, the overall structure of the system was proposed. Under the overall framework, this paper designs the system and designs the system\u2019s visualization and real\u2010time interaction modules. At the same time, combined with VRML technology to realize the visual 3D modeling of virtual art products, we establish the 3D model of the entire art product. Users can choose between role roaming and camera roaming. Finally, we made a summary statement to the full text and looked forward to the application prospects and development trends of information visualization technology in digital art products. During the experiment, by calling the HTC method in the Unity 3D system, this article uses the Unity 3D engine to implement UI scene loading and VR rendering technology optimization and realizes design knowledge through the integration of art product design models and IoT data interactive functions and dynamic loading of scenes. The effect of the model on the quality prediction is analyzed through experiments. The results show that the performance of the former is better than the latter two models, and it has a good performance on unbalanced data processing, which verifies the performance and effectiveness of the algorithm model.<\/jats:p>","DOI":"10.1155\/2021\/6412703","type":"journal-article","created":{"date-parts":[[2021,12,21]],"date-time":"2021-12-21T05:35:13Z","timestamp":1640064913000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Art Product Design and VR User Experience Based on IoT Technology and Visualization System"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6921-0127","authenticated-orcid":false,"given":"Ling","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4572-3504","authenticated-orcid":false,"given":"Peng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,12,20]]},"reference":[{"key":"e_1_2_7_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.1900634"},{"key":"e_1_2_7_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.04.020"},{"key":"e_1_2_7_3_2","doi-asserted-by":"publisher","DOI":"10.1080\/17517575.2019.1633689"},{"key":"e_1_2_7_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2020.102154"},{"key":"e_1_2_7_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2842228"},{"key":"e_1_2_7_6_2","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8101081"},{"key":"e_1_2_7_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2752174"},{"key":"e_1_2_7_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.06.030"},{"key":"e_1_2_7_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2019.e02264"},{"key":"e_1_2_7_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2921391"},{"key":"e_1_2_7_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/MSMC.2017.2702391"},{"key":"e_1_2_7_12_2","doi-asserted-by":"publisher","DOI":"10.1080\/24725854.2018.1555383"},{"key":"e_1_2_7_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2020.106630"},{"key":"e_1_2_7_14_2","doi-asserted-by":"publisher","DOI":"10.3390\/su11092658"},{"key":"e_1_2_7_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2018.07.067"},{"key":"e_1_2_7_16_2","doi-asserted-by":"crossref","unstructured":"TeizerJ. 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