{ "id": 128, "date": "2026-01-30T03:12:12", "date_gmt": "2026-01-30T03:12:12", "guid": { "rendered": "https:\/\/www.cgtae.com\/?page_id=128" }, "modified": "2026-09-30T08:13:20", "modified_gmt": "2026-09-30T08:13:20", "slug": "%ed%9a%8c%ec%82%ac%ec%a0%95%eb%b3%b4", "status": "publish", "type": "page", "link": "https:\/\/www.cgtae.com\/ja\/?page_id=128", "title": { "rendered": "\u4f1a\u793e\u60c5\u5831" }, "content": { "rendered": "
\n

\u5171\u306b\u6b69\u3093\u3060\u4eba\u3005<\/h2>\n\n\n\n
\n
<\/div>\n\n\n\n
\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n<\/div>\n\n\n\n
\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
<\/span>
\n

\u5275\u696d\u8005\u7d39\u4ecb<\/h2>\n\n\n\n
\n
\n
\n
\n
\"\"<\/figure>\n\n\n\n

\ud0dc\ucca0\uaddc(C.G. Tae)<\/h2>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
\n
\n

\u5b66\u6b74<\/strong><\/p>\n\n\n\n

\u2013 \u30bd\u30a6\u30eb\u5927\u5b66\u6821\u8a08\u7b97\u7d71\u8a08\u5b66\u79d1 \u5b66\u58eb\uff081986\uff09
\u2013 \u897f\u6c5f\u5927\u5b66\u6821MBA\u3001\u7d4c\u55b6\u60c5\u5831\u5b66 \u4fee\u58eb\uff081992\uff09<\/p>\n\n\n\n

\u7d4c\u6b74<\/strong><\/p>\n\n\n\n

\u2013 IBM SI\u30de\u30fc\u30b1\u30c6\u30a3\u30f3\u30b0\u30b3\u30f3\u30b5\u30eb\u30bf\u30f3\u30c8\uff081985\uff5e1994\uff09
\u2013 Hapsan Computer\u3001\u526f\u793e\u9577\uff081995\uff5e1996\uff09
\u2013 \u30ab\u30ca\u30c0\u6240\u5728\u30b7\u30b8\u30c6\u4ee3\u8868\uff081996\uff5e1997\uff09
\u2013 Triton Tech. Inc.\u526f\u793e\u9577\uff081998\uff5e2001\uff09
\u2013 C.G.Tae Technology Inc. \u4ee3\u8868\u7406\u4e8b\uff082001\uff5e\u73fe\u5728\uff09
\u2013 CEO, BigMotion Technologies Inc. (2014 ~ \u73fe\u5728)<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n

\n
\n
\n

\u5275\u696d\u8005\u306e\u7814\u7a76\u7d4c\u6b74<\/p>\n\n\n\n

\uff08\u520a\u884c\u7269\uff09<\/p>\n<\/div>\n\n\n\n

\n
\n
\n

Improving Energy Expenditure Estimation through Activity Classification and Walking Speed Estimation Using a Smartwatch<\/a><\/p>\n\n\n\n

IEEE EMBC, Jul 2020<\/strong><\/p>\n<\/div>\n\n\n\n

\n

Detection of Sleep and Wake States Based on the Combined Use of Actigraphy and Ballistocardiography<\/a><\/p>\n\n\n\n

IEEE EMBC, Jul 2019<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n

\n
\n

Combined Regression and Classification Models for Accurate Estimation of Walking Speed Using a Wrist-worn IMU<\/a><\/p>\n\n\n\n

IEEE EMBC, Jul 2018<\/strong><\/p>\n<\/div>\n\n\n\n

\n

Use of Average Vertical Velocity and Difference in Altitude for Improving Automatic Fall Detection from Trunk Based Inertial and Barometric Pressure Measurements<\/a><\/p>\n\n\n\n

IEEE EMBC, Jul 2018<\/strong><\/p>\n\n\n\n

<\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n

\n
\n

Institute for Information Technology Advancement<\/a><\/p>\n\n\n\n

\u56fd\u5bb6R&D\u7814\u7a76\u5831\u544a\u66f8<\/strong><\/p>\n<\/div>\n\n\n\n

\n

\u73fe\u653f\u6a29\u306e\u653f\u7b56\u5931\u6557\u306e\u5206\u6790\u3068Web 2.0\u6642\u4ee3\u306b\u304a\u3051\u308b\u524d\u5411\u304d\u306a\u53c2\u52a0\u65b9\u7b56\u306b\u95a2\u3059\u308b\u7814\u7a76<\/a><\/p>\n\n\n\n

\u30bd\u30a6\u30eb\u5927\u5b66\u6821 \u884c\u653f\u5927\u5b66\u9662 \u56fd\u5bb6\u653f\u7b56\u8ab2\u7a0b\uff08\u7b2c66\u671f\uff09\u7814\u7a76\u5831\u544a\u66f8<\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>", "protected": false }, "excerpt": { "rendered": "

\ud568\uaed8\ud55c \uc774\ub4e4 \ucc3d\uc5c5\uc790 \uc5f0\uad6c\uc774\ub825 (\uac04\ud589\ubb3c) Improving Energy Expenditure Estimation through Activity Classification and Walking Speed Estimation Using a Smartwatch IEEE EMBC, Jul 2020 Detection of Sleep and Wake States Based on the Combined Use of Actigraphy and Ballistocardiography IEEE EMBC, Jul 2019 Combined Regression and Classification Models for Accurate Estimation of Walking Speed Using a Wrist-worn IMU IEEE EMBC, Jul 2018 Use of Average Vertical Velocity and Difference in Altitude for Improving Automatic Fall Detection from Trunk Based Inertial and Barometric Pressure Measurements IEEE EMBC, Jul 2018 \ub3c4\uba74\uc778\uc2dd\uc5d0 \uad00\ud55c \uc5f0\uad6c \uacfc\uc81c \uad6d\uac00R&D \uc5f0\uad6c\ubcf4\uace0\uc11c \ud604 \uc815\ubd80\uc758 \uc815\ucc45 \uc2e4\ud328 \ubd84\uc11d\uacfc \uc6f9 2.0 \uc2dc\ub300\uc758 \uae0d\uc815\uc801 \ucc38\uc5ec \ubc29\uc548\uc5d0 \uad00\ud55c \uc5f0\uad6c \uc11c\uc6b8\ub300\ud559\uad50 \ud589\uc815\ub300\ud559\uc6d0 \uad6d\uac00 \uc815\ucc45\uacfc\uc815(66\uae30) […]<\/p>", "protected": false }, "author": 1, "featured_media": 0, "parent": 0, "menu_order": 0, "comment_status": "closed", "ping_status": "closed", "template": "wp-custom-template-2", "meta": { "footnotes": "" }, "class_list": [ "post-128", "page", "type-page", "status-publish", "hentry" ], "_links": { "self": [ { "href": "https:\/\/www.cgtae.com\/ja\/index.php?rest_route=\/wp\/v2\/pages\/128", "targetHints": { "allow": [ "GET" ] } } ], "collection": [ { "href": "https:\/\/www.cgtae.com\/ja\/index.php?rest_route=\/wp\/v2\/pages" } ], "about": [ { "href": "https:\/\/www.cgtae.com\/ja\/index.php?rest_route=\/wp\/v2\/types\/page" } ], "author": [ { "embeddable": true, "href": "https:\/\/www.cgtae.com\/ja\/index.php?rest_route=\/wp\/v2\/users\/1" } ], "replies": [ { "embeddable": true, "href": "https:\/\/www.cgtae.com\/ja\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=128" } ], "version-history": [ { "count": 67, "href": "https:\/\/www.cgtae.com\/ja\/index.php?rest_route=\/wp\/v2\/pages\/128\/revisions" } ], "predecessor-version": [ { "id": 1201, "href": "https:\/\/www.cgtae.com\/ja\/index.php?rest_route=\/wp\/v2\/pages\/128\/revisions\/1201" } ], "wp:attachment": [ { "href": "https:\/\/www.cgtae.com\/ja\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=128" } ], "curies": [ { "name": "wp", "href": "https:\/\/api.w.org\/{rel}", "templated": true } ] } }