{"id":27446,"date":"2023-10-27T08:25:20","date_gmt":"2023-10-27T08:25:20","guid":{"rendered":"https:\/\/computing.psu.ac.th\/th\/27446\/special-lecture-human-and-object-detection-with-wifi-csi-by-kiyota-hashimoto-psu-shu-and-hidekazu-yanagimoto-omu-2\/"},"modified":"2023-10-27T08:25:20","modified_gmt":"2023-10-27T08:25:20","slug":"special-lecture-human-and-object-detection-with-wifi-csi-by-kiyota-hashimoto-psu-shu-and-hidekazu-yanagimoto-omu-2","status":"publish","type":"post","link":"https:\/\/computing.psu.ac.th\/th\/27446\/special-lecture-human-and-object-detection-with-wifi-csi-by-kiyota-hashimoto-psu-shu-and-hidekazu-yanagimoto-omu-2\/","title":{"rendered":"Special Lecture \\&#8221;Human and Object Detection with WiFi CSI\\&#8221; by Kiyota Hashimoto (PSU, SHU) and Hidekazu Yanagimoto (OMU)"},"content":{"rendered":"<div id=\\\"pl-17256\\\"  class=\\\"panel-layout\\\" >\n<div id=\\\"pg-17256-0\\\"  class=\\\"panel-grid panel-no-style\\\" >\n<div id=\\\"pgc-17256-0-0\\\"  class=\\\"panel-grid-cell\\\"  data-weight=\\\"1\\\" >\n<div id=\\\"panel-17256-0-0-0\\\" class=\\\"so-panel widget widget_sow-editor panel-first-child panel-last-child\\\" data-index=\\\"0\\\" data-style=\\\"{&quot;background_image_attachment&quot;:false,&quot;background_display&quot;:&quot;tile&quot;}\\\" >\n<div class=\\\"so-widget-sow-editor so-widget-sow-editor-base\\\">\n<div class=\\\"siteorigin-widget-tinymce textwidget\\\">\n<div dir=\\\"auto\\\">\n<h3 dir=\\\"auto\\\">Special Lecture \\&#8221;Human and Object Detection with WiFi CSI\\&#8221; by Kiyota Hashimoto (PSU, SHU) and Hidekazu Yanagimoto (OMU)<\/h3>\n<div dir=\\\"auto\\\">.<\/div>\n<div dir=\\\"auto\\\"><span class=\\\"x3nfvp2 x1j61x8r x1fcty0u xdj266r xhhsvwb xat24cr xgzva0m xxymvpz xlup9mm x1kky2od\\\"><img class=\\\"xz74otr\\\" src=\\\"https:\/\/static.xx.fbcdn.net\/images\/emoji.php\/v9\/t7e\/1\/16\/1f4c5.png\\\" alt=\\\"\ud83d\udcc5\\\" width=\\\"16\\\" height=\\\"16\\\" \/>\u00a0<\/span><strong>Date:<\/strong> Monday 30 October 2023<\/div>\n<div dir=\\\"auto\\\"><span class=\\\"x3nfvp2 x1j61x8r x1fcty0u xdj266r xhhsvwb xat24cr xgzva0m xxymvpz xlup9mm x1kky2od\\\"><img class=\\\"xz74otr\\\" src=\\\"https:\/\/static.xx.fbcdn.net\/images\/emoji.php\/v9\/t7e\/1\/16\/1f4c5.png\\\" alt=\\\"\ud83d\udcc5\\\" width=\\\"16\\\" height=\\\"16\\\" \/>\u00a0<\/span><strong>Time:<\/strong> 10:30-12:00<\/div>\n<div dir=\\\"auto\\\"><span class=\\\"x3nfvp2 x1j61x8r x1fcty0u xdj266r xhhsvwb xat24cr xgzva0m xxymvpz xlup9mm x1kky2od\\\"><img class=\\\"xz74otr\\\" src=\\\"https:\/\/static.xx.fbcdn.net\/images\/emoji.php\/v9\/t7e\/1\/16\/1f4c5.png\\\" alt=\\\"\ud83d\udcc5\\\" width=\\\"16\\\" height=\\\"16\\\" \/>\u00a0<\/span><strong>Location:<\/strong> CoC Ideation Zone<\/div>\n<div dir=\\\"auto\\\">.<\/div>\n<div dir=\\\"auto\\\"><span class=\\\"x3nfvp2 x1j61x8r x1fcty0u xdj266r xhhsvwb xat24cr xgzva0m xxymvpz xlup9mm x1kky2od\\\"><img class=\\\"xz74otr\\\" src=\\\"https:\/\/static.xx.fbcdn.net\/images\/emoji.php\/v9\/t77\/1\/16\/203c.png\\\" alt=\\\"\u203c\\\" width=\\\"16\\\" height=\\\"16\\\" \/><\/span><span class=\\\"x3nfvp2 x1j61x8r x1fcty0u xdj266r xhhsvwb xat24cr xgzva0m xxymvpz xlup9mm x1kky2od\\\"><img class=\\\"xz74otr\\\" src=\\\"https:\/\/static.xx.fbcdn.net\/images\/emoji.php\/v9\/t77\/1\/16\/203c.png\\\" alt=\\\"\u203c\\\" width=\\\"16\\\" height=\\\"16\\\" \/>\u00a0<\/span>Recent WiFi technologies use CSI (Channel State Information) in order to stabilize signal transmissions against environmental conditions. CSI refers to the information about the characteristics of the wireless channel between the transmitter and receiver, and thus appropriate analysis of CSI using machine learning enables human and object detection of high accuracy. In other words, CSI applications are one of the typical, promising collaborative research topics of data science, signal processing, and other topic-related fields. In this special lecture, we first explain the fundamentals of CSI applications, introduce some of our recent research achievements, and show possible collaborations.\u00a0<span class=\\\"x3nfvp2 x1j61x8r x1fcty0u xdj266r xhhsvwb xat24cr xgzva0m xxymvpz xlup9mm x1kky2od\\\"><img class=\\\"xz74otr\\\" src=\\\"https:\/\/static.xx.fbcdn.net\/images\/emoji.php\/v9\/t77\/1\/16\/203c.png\\\" alt=\\\"\u203c\\\" width=\\\"16\\\" height=\\\"16\\\" \/><\/span><span class=\\\"x3nfvp2 x1j61x8r x1fcty0u xdj266r xhhsvwb xat24cr xgzva0m xxymvpz xlup9mm x1kky2od\\\"><img class=\\\"xz74otr\\\" src=\\\"https:\/\/static.xx.fbcdn.net\/images\/emoji.php\/v9\/t77\/1\/16\/203c.png\\\" alt=\\\"\u203c\\\" width=\\\"16\\\" height=\\\"16\\\" \/><\/span><\/div>\n<div dir=\\\"auto\\\">.<\/div>\n<div dir=\\\"auto\\\">Kiyota Hashimoto, D.Eng., FTE, PSU &amp;amp; Faculty of Information Science (2024-) Shunan University, Japan. His expertise is data science, AI, machine learning, natural language processing, and their applications to environmental science, and service science.<\/div>\n<div dir=\\\"auto\\\">.<\/div>\n<div dir=\\\"auto\\\">Hidekazu Yanagimoto, Ph.D., Graduate School of Informatics, Osaka Metropolitan University, Japan. His expertise is machine learning, natural language processing, and signal processing.<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Special Lecture \\&#8221;Human and Object Detection with WiFi CSI\\&#8221; by Kiyota Hashimoto (PSU, SHU) and Hidekazu Yanagimoto (OMU) . \u00a0Date: Monday 30 October 2023 \u00a0Time: 10:30-12:00 \u00a0Location: CoC Ideation Zone . \u00a0Recent WiFi technologies use CSI (Channel State Information) in order to stabilize signal transmissions against environmental conditions. CSI refers to the information about the characteristics of the wireless channel between the transmitter and receiver, and thus appropriate analysis of CSI using machine learning enables human and object detection of high accuracy. In other words, CSI applications are one of the typical, promising collaborative research topics of data science, signal processing, and other topic-related fields. In this special lecture, we first explain the fundamentals of CSI applications, introduce some of our recent research achievements, and show possible collaborations.\u00a0 . Kiyota Hashimoto, D.Eng., FTE, PSU &amp;amp; Faculty of Information Science (2024-) Shunan University, Japan. His expertise is data science, AI, machine learning, natural language processing, and their applications to environmental science, and service science. . Hidekazu Yanagimoto, Ph.D., Graduate School of Informatics, Osaka Metropolitan University, Japan. His expertise is machine learning, natural language processing, and signal processing.<\/p>\n","protected":false},"author":1,"featured_media":17257,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1],"tags":[],"class_list":["post-27446","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-coc-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Special Lecture \\&quot;Human and Object Detection with WiFi CSI\\&quot; by Kiyota Hashimoto (PSU, SHU) and Hidekazu Yanagimoto (OMU) - \u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e01\u0e32\u0e23\u0e04\u0e2d\u0e21\u0e1e\u0e34\u0e27\u0e40\u0e15\u0e2d\u0e23\u0e4c<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/computing.psu.ac.th\/th\/27446\/special-lecture-human-and-object-detection-with-wifi-csi-by-kiyota-hashimoto-psu-shu-and-hidekazu-yanagimoto-omu-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Special Lecture \\&quot;Human and Object Detection with WiFi CSI\\&quot; by Kiyota Hashimoto (PSU, SHU) and Hidekazu Yanagimoto (OMU) - \u0e27\u0e34\u0e17\u0e22\u0e32\u0e25\u0e31\u0e22\u0e01\u0e32\u0e23\u0e04\u0e2d\u0e21\u0e1e\u0e34\u0e27\u0e40\u0e15\u0e2d\u0e23\u0e4c\" \/>\n<meta property=\"og:description\" content=\"Special Lecture &#8221;Human and Object Detection with WiFi CSI&#8221; by Kiyota Hashimoto (PSU, SHU) and Hidekazu Yanagimoto (OMU) . \u00a0Date: Monday 30 October 2023 \u00a0Time: 10:30-12:00 \u00a0Location: CoC Ideation Zone . \u00a0Recent WiFi technologies use CSI (Channel State Information) in order to stabilize signal transmissions against environmental conditions. CSI refers to the information about the characteristics of the wireless channel between the transmitter and receiver, and thus appropriate analysis of CSI using machine learning enables human and object detection of high accuracy. In other words, CSI applications are one of the typical, promising collaborative research topics of data science, signal processing, and other topic-related fields. In this special lecture, we first explain the fundamentals of CSI applications, introduce some of our recent research achievements, and show possible collaborations.\u00a0 . Kiyota Hashimoto, D.Eng., FTE, PSU &amp;amp; Faculty of Information Science (2024-) Shunan University, Japan. His expertise is data science, AI, machine learning, natural language processing, and their applications to environmental science, and service science. . Hidekazu Yanagimoto, Ph.D., Graduate School of Informatics, Osaka Metropolitan University, Japan. 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by Kiyota Hashimoto (PSU, SHU) and Hidekazu Yanagimoto (OMU) . \u00a0Date: Monday 30 October 2023 \u00a0Time: 10:30-12:00 \u00a0Location: CoC Ideation Zone . \u00a0Recent WiFi technologies use CSI (Channel State Information) in order to stabilize signal transmissions against environmental conditions. CSI refers to the information about the characteristics of the wireless channel between the transmitter and receiver, and thus appropriate analysis of CSI using machine learning enables human and object detection of high accuracy. In other words, CSI applications are one of the typical, promising collaborative research topics of data science, signal processing, and other topic-related fields. In this special lecture, we first explain the fundamentals of CSI applications, introduce some of our recent research achievements, and show possible collaborations.\u00a0 . Kiyota Hashimoto, D.Eng., FTE, PSU &amp;amp; Faculty of Information Science (2024-) Shunan University, Japan. His expertise is data science, AI, machine learning, natural language processing, and their applications to environmental science, and service science. . Hidekazu Yanagimoto, Ph.D., Graduate School of Informatics, Osaka Metropolitan University, Japan. 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