{"id":8387,"date":"2023-03-28T08:19:43","date_gmt":"2023-03-28T08:19:43","guid":{"rendered":"https:\/\/www.beaconzone.co.uk\/blog\/?p=8387"},"modified":"2023-03-28T08:19:45","modified_gmt":"2023-03-28T08:19:45","slug":"more-accurate-beacon-locating-using-ai-machine-learning","status":"publish","type":"post","link":"https:\/\/www.beaconzone.co.uk\/blog\/more-accurate-beacon-locating-using-ai-machine-learning\/","title":{"rendered":"More Accurate Beacon Locating Using AI Machine Learning"},"content":{"rendered":"\n<p>There&#8217;s new research in the Bulletin of Electrical Engineering and Informatics on <a rel=\"noreferrer noopener\" href=\"https:\/\/beei.org\/index.php\/EEI\/article\/view\/4200\" target=\"_blank\">Bluetooth beacons based indoor positioning in a shopping malls using machine learning<\/a>. Researchers from Algeria and Italy improved the accuracy of RSSI locating by using AI machine learning techniques. They used extra-trees classifier (ETC) and a k-neighbours classifier to achieve greater than 90% accuracy.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"729\" height=\"403\" src=\"https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2023\/03\/beaconsusingmachinelearning.png\" alt=\"\" class=\"wp-image-8389\" srcset=\"https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2023\/03\/beaconsusingmachinelearning.png 729w, https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2023\/03\/beaconsusingmachinelearning-300x166.png 300w\" sizes=\"(max-width: 709px) 85vw, (max-width: 909px) 67vw, (max-width: 984px) 61vw, (max-width: 1362px) 45vw, 600px\" \/><\/figure><\/div>\n\n\n<p>A smartphone app was used to receive beacon RSSI and send it to an indoor positioning system&#8217;s data collection module. RSSI data was also filtered by a data processing module to limit the error range. KNN, RFC, extra trees classifiers (ETC), SVM, gradient boosting classifiers (GBC) and decision trees (DT) algorithms were evaluated.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2023\/03\/machinelearningrssi.png\" alt=\"\" class=\"wp-image-8390\" width=\"424\" height=\"700\" srcset=\"https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2023\/03\/machinelearningrssi.png 565w, https:\/\/www.beaconzone.co.uk\/blog\/wp-content\/uploads\/2023\/03\/machinelearningrssi-182x300.png 182w\" sizes=\"(max-width: 424px) 85vw, 424px\" \/><\/figure><\/div>\n\n\n<p>The ETC model gave the best accuracy. ETC is an algorithm that uses a group of decision trees to classify data. It is similar to a random forest classifier but uses a different method to construct the decision trees. ETC fits a number of randomised decision trees on sub-samples of the dataset and uses averaging to improve the predictive accuracy and control over-fitting. ETC is a good choice for applications where accuracy is important but the data is noisy and where computational efficiency is important.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>There&#8217;s new research in the Bulletin of Electrical Engineering and Informatics on Bluetooth beacons based indoor positioning in a shopping malls using machine learning. Researchers from Algeria and Italy improved the accuracy of RSSI locating by using AI machine learning techniques. They used extra-trees classifier (ETC) and a k-neighbours classifier to achieve greater than 90% &hellip; <a href=\"https:\/\/www.beaconzone.co.uk\/blog\/more-accurate-beacon-locating-using-ai-machine-learning\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;More Accurate Beacon Locating Using AI Machine Learning&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[101,31,173,32],"tags":[],"_links":{"self":[{"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/posts\/8387"}],"collection":[{"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/comments?post=8387"}],"version-history":[{"count":2,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/posts\/8387\/revisions"}],"predecessor-version":[{"id":8391,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/posts\/8387\/revisions\/8391"}],"wp:attachment":[{"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/media?parent=8387"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/categories?post=8387"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.beaconzone.co.uk\/blog\/wp-json\/wp\/v2\/tags?post=8387"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}