{"id":97,"date":"2013-05-03T05:12:18","date_gmt":"2013-05-03T05:12:18","guid":{"rendered":"https:\/\/katiavega.com\/?p=97"},"modified":"2013-07-11T04:38:58","modified_gmt":"2013-07-11T04:38:58","slug":"wearable-computing-accelerometers-data-classification-of-body-postures-and-movements","status":"publish","type":"post","link":"https:\/\/katiavega.com\/?p=97","title":{"rendered":"Wearable Computing: Accelerometers&#8217; Data Classification of Body Postures and Movements."},"content":{"rendered":"<div>During the last 5 years, research on Human Activity Recognition (HAR) has reported on systems showing good overall recognition performance. As a consequence, HAR has been considered as a potential technology for e-health systems. Here, we propose a machine learning based HAR classifier. We also provide a full experimental description that contains the HAR wearable devices setup and a public domain dataset comprising 165,633 samples. We consider 5 activity classes, gathered from 4 subjects wearing accelerometers mounted on their waist, left thigh, right arm, and right ankle. As basic input features to our classifier we use 12 attributes derived from a time window of 150ms. Finally, the classifier uses a committee AdaBoost that combines ten Decision Trees. The observed classifier accuracy is 99.4%.<\/div>\n<div><\/div>\n<p><strong>Ugulino, W.; Cardador, D.; Vega, K.; Velloso, E.; Milidiu, R.; Fuks, H.<\/strong><\/p>\n<p>Proceedings of 21st Brazilian Symposium on Artificial Intelligence. Advances in Artificial Intelligence &#8211; SBIA 2012. In: Lecture Notes in Computer Science. , pp. 52-61. Curitiba, PR: Springer Berlin \/ Heidelberg, 2012. ISBN 978-3-642-34458-9. DOI: 10.1007\/978-3-642-34459-6_6.<\/p>\n<div>Read more: <a href=\"http:\/\/groupware.secondlab.inf.puc-rio.br\/work.jsf?p1=10335#ixzz2SCfsJcgT\">http:\/\/groupware.secondlab.inf.puc-rio.br\/work.jsf?p1=10335#ixzz2SCfsJcgT<\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>During the last 5 years, research on Human Activity Recognition (HAR) has reported on systems showing good overall recognition performance. As a consequence, HAR has been considered as a potential<span class=\"more-button\"><a href=\"https:\/\/katiavega.com\/?p=97\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\">Wearable Computing: Accelerometers&#8217; Data Classification of Body Postures and Movements.<\/span><\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[32],"tags":[],"class_list":["post-97","post","type-post","status-publish","format-standard","hentry","category-sbia-2012"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/katiavega.com\/index.php?rest_route=\/wp\/v2\/posts\/97","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/katiavega.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/katiavega.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/katiavega.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/katiavega.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=97"}],"version-history":[{"count":8,"href":"https:\/\/katiavega.com\/index.php?rest_route=\/wp\/v2\/posts\/97\/revisions"}],"predecessor-version":[{"id":218,"href":"https:\/\/katiavega.com\/index.php?rest_route=\/wp\/v2\/posts\/97\/revisions\/218"}],"wp:attachment":[{"href":"https:\/\/katiavega.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=97"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/katiavega.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=97"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/katiavega.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=97"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}