{"id":604,"date":"2020-06-30T22:17:59","date_gmt":"2020-07-01T02:17:59","guid":{"rendered":"https:\/\/sites.temple.edu\/aspl\/?page_id=604"},"modified":"2020-09-24T13:12:26","modified_gmt":"2020-09-24T17:12:26","slug":"resources","status":"publish","type":"page","link":"https:\/\/sites.temple.edu\/aspl\/resources\/","title":{"rendered":"Resources"},"content":{"rendered":"<p style=\"text-align: left\"><strong>Radar-based Human Activity Recognition (Rad-HAR) Dataset<\/strong><\/p>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li style=\"text-align: justify\">The Rad-HAR dataset is for non-commercial research use only.<!--Publications developed based on this dataset should acknowledge the above publication.--> To request access to the Rad-HAR dataset, please send an email with your name and your affiliation to <a href=\"mailto:aspl.request@gmail.com\">aspl.request@gmail.com<\/a> . We will send you a link to access the dataset via email.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p style=\"text-align: left\"><strong>Publications Related to the Dataset<\/strong><\/p>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li style=\"text-align: justify\">A. Ahmed and Y. D. Zhang, \u201c<strong><a href=\"http:\/\/yiminzhang.com\/aspl\/IEEE_SPMB_abstract_2020.pdf\">Radar-based Dataset Development for Human Activity Recognition<\/a><\/strong>,\u201d in Proceedings of 2020 IEEE Signal Processing in Medicine and Biology Symposium, Philadelphia, PA, Dec. 2020.<br \/>\nThis paper provides a detailed description of the signal model, radar device, and experiment settings used to collect the Rad-HAR dataset.<\/li>\n<li style=\"text-align: justify\">M. Wang,\u00a0Y. D. Zhang, and G. Cui, \u201c<strong><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S1051200418308571\">Human Motion Recognition Exploiting Radar with Stacked Recurrent Neural Network<\/a><\/strong>,\u201d Digital Signal Processing, vol. 87, pp. 125-131, April 2019.<strong><br \/>\n<\/strong>This paper provides an example of human activity recognition developed using the Rad-HAR dataset using stacked recurrent neural network.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p><strong>Other Related Publications<\/strong><\/p>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li style=\"text-align: justify\">M. G. Amin,\u00a0Y. D. Zhang, F. Ahmad, and K. C. Ho, \u201c<a href=\"https:\/\/ieeexplore.ieee.org\/document\/7426551\"><strong>Radar Signal Processing for<\/strong><strong> Elderly Fall Detection<\/strong><\/a>,\u201d IEEE Signal Processing Magazine, special issue on Signal Processing for Assisted Living, vol. 33, no. 2, pp. 71-80, March 2016.<\/li>\n<li style=\"text-align: justify\">Q. Wu,\u00a0Y. D. Zhang, W. Tao, and M. G. Amin, \u201c<a href=\"http:\/\/yiminzhang.com\/pdf_r\/iet14_qisong.pdf\"><strong>Radar-based Fall Detection Based on Doppler Time-Frequency Signatures for Assisted Living<\/strong><\/a>,\u201d IET Radar, Sonar &amp; Navigation, special issue on Application of Radar to Remote Patient Monitoring and Eldercare, vol. 9, no. 2, pp. 164-172, Feb. 2015.<\/li>\n<li style=\"text-align: justify\">B. Jokanovic, M. G. Amin,\u00a0Y. D. Zhang, and F. Ahmad, \u201c<strong><a href=\"http:\/\/yiminzhang.com\/pdf_r\/iet14_branka.pdf\">Multi-Window Time-Frequency Signature Reconstruction from Undersampled Continuous Wave Radar Measurements for Fall Detection<\/a><\/strong>,\u201d IET Radar, Sonar &amp; Navigation, special issue on Application of Radar to Remote Patient Monitoring and Eldercare, vol. 9, no. 2, pp. 173-183, Feb. 2015.<\/li>\n<li style=\"text-align: justify\">Y. D. Zhang\u00a0and K. C. D. Ho, \u201c<strong>Continuous Wave Doppler Radar for Fall Detection<\/strong>,\u201d in M. G. Amin (ed.), <strong><a href=\"https:\/\/www.routledge.com\/Radar-for-Indoor-Monitoring-Detection-Classification-and-Assessment\/Amin\/p\/book\/9781138746091\">Radar for Indoor Monitoring: Detection, Localization, and Assessment<\/a><\/strong>, CRC Press, 2017.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Radar-based Human Activity Recognition (Rad-HAR) Dataset The Rad-HAR dataset is for non-commercial research use only. To request access to the &hellip;<\/p>\n","protected":false},"author":7519,"featured_media":0,"parent":0,"menu_order":92,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-604","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.temple.edu\/aspl\/wp-json\/wp\/v2\/pages\/604","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.temple.edu\/aspl\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.temple.edu\/aspl\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.temple.edu\/aspl\/wp-json\/wp\/v2\/users\/7519"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.temple.edu\/aspl\/wp-json\/wp\/v2\/comments?post=604"}],"version-history":[{"count":0,"href":"https:\/\/sites.temple.edu\/aspl\/wp-json\/wp\/v2\/pages\/604\/revisions"}],"wp:attachment":[{"href":"https:\/\/sites.temple.edu\/aspl\/wp-json\/wp\/v2\/media?parent=604"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}