{"id":648,"date":"2025-07-15T19:54:01","date_gmt":"2025-07-15T19:54:01","guid":{"rendered":"https:\/\/ccds.ai\/?p=648"},"modified":"2025-08-10T18:15:09","modified_gmt":"2025-08-10T18:15:09","slug":"human-activity-recognition-and-rehabilitation-exercise-evaluation","status":"publish","type":"post","link":"https:\/\/ccds.ai\/?p=648","title":{"rendered":"Human Activity Recognition and Rehabilitation Exercise Evaluation"},"content":{"rendered":"<div id='av_section_1'  class='avia-section av-9qxzk-e122d1c8edfddb21f5b58560a3fd4567 main_color avia-section-default avia-no-border-styling  avia-builder-el-0  avia-builder-el-no-sibling  avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><main  role=\"main\" itemprop=\"mainContentOfPage\"  class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-648'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-md4yd1mh-30d3bd3dc25813c1ecc3f530ce46f1c7\">\n.avia-image-container.av-md4yd1mh-30d3bd3dc25813c1ecc3f530ce46f1c7 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-md4yd1mh-30d3bd3dc25813c1ecc3f530ce46f1c7 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-md4yd1mh-30d3bd3dc25813c1ecc3f530ce46f1c7 av-styling- avia-align-center  avia-builder-el-1  el_before_av_textblock  avia-builder-el-first '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img fetchpriority=\"high\" fetchpriority=\"high\" decoding=\"async\" class='wp-image-650 avia-img-lazy-loading-not-650 avia_image ' src=\"https:\/\/ccds.ai\/wp-content\/uploads\/2025\/07\/har.gif\" alt='' title='har'  height=\"288\" width=\"864\"  itemprop=\"thumbnailUrl\"  \/><\/div><\/div><\/div>\n<section  class='av_textblock_section av-md4y9he8-a68cefd3b531bea54e94d7848a56ada5'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p>This ICT Division and IUB funded project intends to develop machine learning-based approaches which can be used for the recognition of various activities using data from wearable sensors (e.g. accelerometer, gyroscope) and motion sensing devices (e.g. kinect). In addition, we intend to develop models which could be used by people seeking rehabilitation support at the\u00a0<a href=\"https:\/\/web.archive.org\/web\/20241009214610\/https:\/\/www.crp-bangladesh.org\/\" target=\"_blank\" rel=\"noopener\">CRP<\/a>. Particularly, our research intention is to record movement data while the rehabilitation exercises are performed. In addition to sensor data, the plan includes collection of visual data of the patient performing exercises using 3D sensors. Finally, we intend to use time series data analysis to learn the activity, measure (or grade) the performance of the patient, level of improvement, identify the areas and time when the patient is facing difficulty. In order to achieve automatic or semi-automatic activity recognition and exercise evaluation, we have designed self attention and graph convolution based architectures. The works on self-attention based architectures for activity recognition from sensor data have been published in ECAI 2020 and PAKDD 2021.<\/p>\n<\/div><\/section>\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":650,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[91],"tags":[],"class_list":["post-648","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hci_projects"],"acf":[],"jetpack_featured_media_url":"https:\/\/ccds.ai\/wp-content\/uploads\/2025\/07\/har.gif","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts\/648","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=648"}],"version-history":[{"count":2,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts\/648\/revisions"}],"predecessor-version":[{"id":651,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts\/648\/revisions\/651"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/media\/650"}],"wp:attachment":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=648"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=648"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=648"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}