{"id":172,"date":"2017-03-14T09:57:00","date_gmt":"2017-03-14T09:57:00","guid":{"rendered":"https:\/\/mitel.dimi.uniud.it\/site\/?p=172"},"modified":"2024-03-05T09:59:20","modified_gmt":"2024-03-05T09:59:20","slug":"recognising-household-activities-with-the-smartphone-paper-finally-published","status":"publish","type":"post","link":"https:\/\/mitel.dimi.uniud.it\/site\/?p=172","title":{"rendered":"Recognising household activities with the smartphone: paper finally published."},"content":{"rendered":"\n<p><a href=\"http:\/\/www.tandfonline.com\/doi\/full\/10.1080\/17538157.2016.1255214\" target=\"_blank\" rel=\"noreferrer noopener\">A feasibility study on smartphone accelerometer-based recognition of household activities and influence of smartphone position<\/a>.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Della%20Mea%20V%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=28005434\" target=\"_blank\" rel=\"noreferrer noopener\">Della Mea V<\/a>,\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Quattrin%20O%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=28005434\" target=\"_blank\" rel=\"noreferrer noopener\">Quattrin O<\/a>,\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=Parpinel%20M%5BAuthor%5D&amp;cauthor=true&amp;cauthor_uid=28005434\" target=\"_blank\" rel=\"noreferrer noopener\">Parpinel M<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/28005434#\"><\/a>Abstract<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">BACKGROUND:<\/h4>\n\n\n\n<p>Obesity and physical inactivity are the most important risk factors for chronic diseases. The present study aimed at (i) developing and testing a method for classifying household activities based on a smartphone accelerometer; (ii) evaluating the influence of smartphone position; and (iii) evaluating the acceptability of wearing a smartphone for activity recognition.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">METHODS:<\/h4>\n\n\n\n<p>An Android application was developed to record accelerometer data and calculate descriptive features on 5-second time blocks, then classified with nine algorithms. Household activities were: sitting, working at the computer, walking, ironing, sweeping the floor, going down stairs with a shopping bag, walking while carrying a large box, and climbing stairs with a shopping bag. Ten volunteers carried out the activities for three times, each one with a smartphone in a different position (pocket, arm, and wrist). Users were then asked to answer a questionnaire.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">RESULTS:<\/h4>\n\n\n\n<p>1440 time blocks were collected. Three algorithms demonstrated an accuracy greater than 80% for all smartphone positions. While for some subjects the smartphone was uncomfortable, it seems that it did not really affect activity.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">CONCLUSIONS:<\/h4>\n\n\n\n<p>Smartphones can be used to recognize household activities. A further development is to measure metabolic equivalent tasks starting from accelerometer data only.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A feasibility study on smartphone accelerometer-based recognition of household activities and influence of smartphone position. Della Mea V,\u00a0Quattrin O,\u00a0Parpinel M. Abstract BACKGROUND: Obesity and physical inactivity are the most important risk factors for chronic diseases. The present study aimed at (i) developing and testing a method for classifying household activities based on a smartphone accelerometer; [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"_links":{"self":[{"href":"https:\/\/mitel.dimi.uniud.it\/site\/index.php?rest_route=\/wp\/v2\/posts\/172"}],"collection":[{"href":"https:\/\/mitel.dimi.uniud.it\/site\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mitel.dimi.uniud.it\/site\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mitel.dimi.uniud.it\/site\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mitel.dimi.uniud.it\/site\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=172"}],"version-history":[{"count":2,"href":"https:\/\/mitel.dimi.uniud.it\/site\/index.php?rest_route=\/wp\/v2\/posts\/172\/revisions"}],"predecessor-version":[{"id":175,"href":"https:\/\/mitel.dimi.uniud.it\/site\/index.php?rest_route=\/wp\/v2\/posts\/172\/revisions\/175"}],"wp:attachment":[{"href":"https:\/\/mitel.dimi.uniud.it\/site\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=172"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mitel.dimi.uniud.it\/site\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=172"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mitel.dimi.uniud.it\/site\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=172"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}