{"id":114,"date":"2016-07-19T17:45:18","date_gmt":"2016-07-19T17:45:18","guid":{"rendered":"http:\/\/crowdsignals.io\/blog\/?p=114"},"modified":"2016-07-19T17:45:18","modified_gmt":"2016-07-19T17:45:18","slug":"backer-profile-takeshi-okadome-professor-at-kwansei-gakuin-university","status":"publish","type":"post","link":"http:\/\/crowdsignals.io\/blog\/2016\/07\/19\/backer-profile-takeshi-okadome-professor-at-kwansei-gakuin-university\/","title":{"rendered":"Backer Profile: Takeshi Okadome, Professor at Kwansei Gakuin University"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-115\" src=\"http:\/\/crowdsignals.io\/blog\/wp-content\/uploads\/2016\/07\/takeshi-o.png\" alt=\"Takeshi Okadome\" width=\"303\" height=\"236\" srcset=\"http:\/\/crowdsignals.io\/blog\/wp-content\/uploads\/2016\/07\/takeshi-o.png 705w, http:\/\/crowdsignals.io\/blog\/wp-content\/uploads\/2016\/07\/takeshi-o-300x234.png 300w\" sizes=\"auto, (max-width: 303px) 85vw, 303px\" \/><a href=\"http:\/\/ist.ksc.kwansei.ac.jp\/~houmi\/okadome-home-en.html\">Takeshi Okadome<\/a> is a Professor in the <a href=\"http:\/\/ist.ksc.kwansei.ac.jp\/\">Department of Informatics at Kwansei Gakuin University<\/a>. His group works on environmental media design, using various sensors to design a new media that represents a physical or &#8220;mind&#8221; state of a physical object in an environment, and using the media, they create various contents, in particular, web contents together with each person&#8217;s favorite objects.<\/p>\n<p>They use\u00a0sensor network, physical computing, and machine learning\u00a0technologies to attempt to: (1) to establish a method for interpreting sensor data and verbalizing or visualizing them, (2) to interpolate human actions or real-world events that cannot be directly inferred from sensor data by mining the information on the web, (3) to design &#8220;environment media&#8221; that represent the verbalized or visualized data, and (4) to create web contents using the environment media. The group\u00a0also works on recognition of daily living activities from sensor data using machine learning techniques.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignleft size-full wp-image-116\" src=\"http:\/\/crowdsignals.io\/blog\/wp-content\/uploads\/2016\/07\/kwansei-gakuin-u.jpg\" alt=\"Kwansei Gakuin University\" width=\"2000\" height=\"725\" srcset=\"http:\/\/crowdsignals.io\/blog\/wp-content\/uploads\/2016\/07\/kwansei-gakuin-u.jpg 2000w, http:\/\/crowdsignals.io\/blog\/wp-content\/uploads\/2016\/07\/kwansei-gakuin-u-300x109.jpg 300w, http:\/\/crowdsignals.io\/blog\/wp-content\/uploads\/2016\/07\/kwansei-gakuin-u-768x278.jpg 768w, http:\/\/crowdsignals.io\/blog\/wp-content\/uploads\/2016\/07\/kwansei-gakuin-u-1024x371.jpg 1024w, http:\/\/crowdsignals.io\/blog\/wp-content\/uploads\/2016\/07\/kwansei-gakuin-u-1200x435.jpg 1200w\" sizes=\"auto, (max-width: 709px) 85vw, (max-width: 909px) 67vw, (max-width: 1362px) 62vw, 840px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>Prof. Okadome will use the CrowdSignals.io data to construct better recognition methods for daily living activities using CrowdSignals.io Data and also test the methods using them.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Takeshi Okadome is a Professor in the Department of Informatics at Kwansei Gakuin University. His group works on environmental media design, using various sensors to design a new media that represents a physical or &#8220;mind&#8221; state of a physical object in an environment, and using the media, they create various contents, in particular, web contents &hellip; <a href=\"http:\/\/crowdsignals.io\/blog\/2016\/07\/19\/backer-profile-takeshi-okadome-professor-at-kwansei-gakuin-university\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Backer Profile: Takeshi Okadome, Professor at Kwansei Gakuin University&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[15],"tags":[36,31,37,38,13],"class_list":["post-114","post","type-post","status-publish","format-standard","hentry","category-backers","tag-activity-recognition","tag-machine-learning","tag-new-media","tag-physical-computing","tag-sensors"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"http:\/\/crowdsignals.io\/blog\/wp-json\/wp\/v2\/posts\/114","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/crowdsignals.io\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/crowdsignals.io\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/crowdsignals.io\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/crowdsignals.io\/blog\/wp-json\/wp\/v2\/comments?post=114"}],"version-history":[{"count":1,"href":"http:\/\/crowdsignals.io\/blog\/wp-json\/wp\/v2\/posts\/114\/revisions"}],"predecessor-version":[{"id":117,"href":"http:\/\/crowdsignals.io\/blog\/wp-json\/wp\/v2\/posts\/114\/revisions\/117"}],"wp:attachment":[{"href":"http:\/\/crowdsignals.io\/blog\/wp-json\/wp\/v2\/media?parent=114"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/crowdsignals.io\/blog\/wp-json\/wp\/v2\/categories?post=114"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/crowdsignals.io\/blog\/wp-json\/wp\/v2\/tags?post=114"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}