{"id":1189,"date":"2017-09-15T19:59:09","date_gmt":"2017-09-15T19:59:09","guid":{"rendered":"https:\/\/beta.research.ece.ncsu.edu\/aros\/?page_id=1189"},"modified":"2019-04-01T13:59:25","modified_gmt":"2019-04-01T13:59:25","slug":"physio-datasets","status":"publish","type":"page","link":"https:\/\/research.ece.ncsu.edu\/aros\/physio-datasets\/","title":{"rendered":"Physiological Datasets"},"content":{"rendered":"

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Physiological Datasets<\/h2>\n

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NCSU-ADL<\/strong><\/a><\/em> [Date release: November, 2017] – This dataset contains motion and physiological measurements from individuals performing specific activities of daily life at their personal pace. Please cite [1] if using this dataset in your research. Subjects 059, 292, 380, 503 and 805 were used in the analysis of [1]. Subjects 059, 274, 292, 380, 390, 454, 503, 805, 875 and 909 were used in the analysis of [2].<\/p>\n

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Publications<\/h2>\n

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  1. N. Lokare, B. Zhong and E. Lobaton, “Activity-Aware Physiological Response Prediction using Wearable Sensors,<\/strong>” Inventions, 2(4), 2017.<\/li>\n
  2. N. Lokare, S. Samadi, B. Zhong, L. Gonzalez, F. Mohammadzadeh, E. Lobaton, “Energy-Efficient Activity Recognition via Multiple Time-Scale Analysis,<\/strong>” IEEE Symp. Series on Computational Intelligence (SSCI), 2017.<\/li>\n<\/ol>\n

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    Physiological Datasets NCSU-ADL [Date release: November, 2017] – This dataset contains motion and physiological measurements from individuals performing specific activities of daily life at their personal pace. Please cite [1] […]<\/p>\n","protected":false},"author":45,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":"","_members_access_role":[],"_members_access_error":""},"class_list":["post-1189","page","type-page","status-publish","hentry"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t