{"id":406,"date":"2022-11-04T14:23:56","date_gmt":"2022-11-04T14:23:56","guid":{"rendered":"https:\/\/ibigworld.ath.edu.pl\/?p=406"},"modified":"2022-11-04T14:23:56","modified_gmt":"2022-11-04T14:23:56","slug":"article-ensemble-of-rnn-classifiers-for-activity-detection-using-smartphone-and-supporting-nodes","status":"publish","type":"post","link":"https:\/\/ibigworld.ath.edu.pl\/index.php\/en\/2022\/11\/04\/article-ensemble-of-rnn-classifiers-for-activity-detection-using-smartphone-and-supporting-nodes\/","title":{"rendered":"Article: Ensemble of RNN classifiers for activity detection using smartphone and supporting nodes"},"content":{"rendered":"<p>The dataset was provided for classification of activity using sensors placed in four places: waist, chest, arm and leg.<\/p>\n<p>The dataset contains eight classes:<\/p>\n<ul>\n<li>walking in normal paste, where legs and arms are moving without any luggage,<\/li>\n<li>jogging in moderate paste, where limb movement is faster, and the body is moving more dynamically,<\/li>\n<li>squats, where a person is performing squats in place and arms holding a balance,<\/li>\n<li>jump, where a person jumps in place as a part of aerobic exercises,<\/li>\n<li>laying, where a person is lying on his back, and major movement corresponds to chest breathing,<\/li>\n<li>arms swing, where the arms are moving during the exercise or housework,<\/li>\n<li>siting, where the person sits at the desk and performs simple writing (office) activities.<\/li>\n<li>standing in place, where only natural body balance can be registered.<\/li>\n<\/ul>\n<p>The repository can be found in: https:\/\/github.com\/drOneMB\/activity-detection<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The dataset was provided for classification of activity using sensors placed in four places: waist, chest, arm and leg. The dataset contains eight classes: walking in normal paste, where legs and arms are moving without any luggage, jogging in moderate paste, where limb movement is faster, and the body is moving more dynamically, squats, where &hellip; <\/p>\n<p class=\"read-more\"><a class=\"btn btn-default\" href=\"https:\/\/ibigworld.ath.edu.pl\/index.php\/en\/2022\/11\/04\/article-ensemble-of-rnn-classifiers-for-activity-detection-using-smartphone-and-supporting-nodes\/\"> Read More<span class=\"screen-reader-text\">  Read More<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[60,17],"tags":[],"_links":{"self":[{"href":"https:\/\/ibigworld.ath.edu.pl\/index.php\/wp-json\/wp\/v2\/posts\/406"}],"collection":[{"href":"https:\/\/ibigworld.ath.edu.pl\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ibigworld.ath.edu.pl\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ibigworld.ath.edu.pl\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ibigworld.ath.edu.pl\/index.php\/wp-json\/wp\/v2\/comments?post=406"}],"version-history":[{"count":1,"href":"https:\/\/ibigworld.ath.edu.pl\/index.php\/wp-json\/wp\/v2\/posts\/406\/revisions"}],"predecessor-version":[{"id":407,"href":"https:\/\/ibigworld.ath.edu.pl\/index.php\/wp-json\/wp\/v2\/posts\/406\/revisions\/407"}],"wp:attachment":[{"href":"https:\/\/ibigworld.ath.edu.pl\/index.php\/wp-json\/wp\/v2\/media?parent=406"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ibigworld.ath.edu.pl\/index.php\/wp-json\/wp\/v2\/categories?post=406"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ibigworld.ath.edu.pl\/index.php\/wp-json\/wp\/v2\/tags?post=406"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}