{"id":818,"date":"2016-02-19T14:50:48","date_gmt":"2016-02-19T05:50:48","guid":{"rendered":"http:\/\/www.cmc.ss.is.nagoya-u.ac.jp\/?page_id=818"},"modified":"2016-04-05T15:30:01","modified_gmt":"2016-04-05T06:30:01","slug":"2015%e5%b9%b4%e5%ba%a6%e8%ab%96%e6%96%87%e3%83%aa%e3%82%b9%e3%83%88","status":"publish","type":"page","link":"https:\/\/www.cmc.is.i.nagoya-u.ac.jp\/?page_id=818","title":{"rendered":"2015\u5e74\u5ea6\u8ad6\u6587\u30ea\u30b9\u30c8"},"content":{"rendered":"<h3>\u8ad6\u6587<\/h3>\n<ul>\n<li>Michimasa Inaba, Naoyuki Iwata, Fujio Toriumi, Takatsugu Hirayama, Yu Enokibori, Kenichi Takahashi, Kenji Mase, &#8220;Statistical Response Method and Learning Data Acquisition using Gamified Crowdsourcing for a Non-task-oriented Dialogue Agent&#8221;, Lecture Notes in Computer Science, Vol.8946, pp.119-136, Springer, 2015.<\/li>\n<li>Xueting Wang, Takatsugu Hirayama, Kenji Mase, &#8220;Viewpoint Sequence Recommendation Method based on Contextual Information for Multi-view Video&#8221;, IEEE Multimedia, vol.22, no. 4, pp. 40-50, Oct.-Dec. 2015.<\/li>\n<li>Guanwen Zhang, Jien Kato, Yu Wang, Kenji Mase. &#8220;Multiple-shot People Re-identification by Patch-wise Learning&#8221;. IEICE Trans. on Information and System, Vol.E98-D, No.12, Dec. 2015.<\/li>\n<li>Takatsugu Hirayama, Toshiya Ohira, Kenji Mase, &#8220;Top-down Visual Attention Estimation Using Spatially Localized Activation Based on Linear Separability of Visual Features,&#8221; IEICE Transactions on Information and Systems, Vol.E98-D, No.12, pp.2308-2326, 2015.<\/li>\n<li>\u9234\u6728\u5d69\u53f2, \u738b\u5f67, \u52a0\u85e4\u30b8\u30a7\u30fc\u30f3, \u9593\u702c\u5065\u4e8c. &#8220;\u30af\u30ed\u30b9\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u304a\u3051\u308b\u884c\u52d5\u8b58\u5225\u5668\u306e\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0&#8221;. \u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8cC, Vol.135, No.12, 2015.<\/li>\n<\/ul>\n<h3>\u56fd\u969b\u4f1a\u8b70<\/h3>\n<ul>\n<li>Guanwen Zhang, Jien Kato, Yu Wang, and Kenji Mase, &#8220;People Re-identification Using Two-Stage Transfer Metric Learning&#8221;, the 14th IAPR International Conference on Machine Vision Applications (MVA2015), Tokyo, Japan, May 18-22, 2015. (oral)<\/li>\n<li>Chiyomi Miyajima, Suguru Yamazaki, Takashi Bando, Kentaro Hitomi, Hitoshi Terai, Hiroyuki Okuda, Takatsugu Hirayama, Masumi Egawa, Kazuya Takeda, &#8220;Analyzing Driver Gaze Behavior and Consistency of Decision Making During Automated Driving&#8221;, IEEE Intelligent Vehicles Symposium (IV 2015), Seoul, Korea, 2015.6.<\/li>\n<li>Hitoshi Terai, Hiroyuki Okuda, Kentaro Hitomi, Takashi Bando, Chiyomi Miyajima, Takatsugu Hirayama, Yuki Shinohara, Masumi Egawa, Kazuya Takeda, &#8220;An Experimental Study on the Difference in Drivers\u2019 Decision-making Behavior during Manual and Supported Driving&#8221;, 6th International Conference on Applied Human Factors and Ergonomics (AHFE), Las Vegas, United States, 2015.7.<\/li>\n<li>Junya Morita, Takatsugu Hirayama, Kenji Mase and Kazunori Yamada: &#8220;Cognitive Modeling of Life Story: Reconstructing Our Memories from a Photo Library&#8221;, The 37th Annual Cognitive Science Society Meeting (COGSCI 2015), Poster Session, 2015.07.23<\/li>\n<li>Junki Seko, Junya Morita, Takatsugu Hirayama, Kenji Mase and Kazunori Yamada: &#8220;Investigating Memory Recall by Visualization of Photo Network&#8221;, 2nd UbiComp Workshop On Ubiquitous Technologies To Augment The Human Mind (UbiComp\/ISWC 2015), 2015.09.08<\/li>\n<li>Yu Enokibori, Taiga Hayashi, and Kenji Mase, &#8220;A Study of Intermittent Adjustment to Resist Sensor Displacement of Smart Garment using Posture-stable Daily Action,&#8221; Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2015 ACM International Symposium on Wearable Computers (Ubicomp2015\/ISWC2015), Sep. 7-11, 2015.<\/li>\n<li>Kentaro Hitomi, Hitoshi Terai, Hiroyuki Okuda, Takashi Bando, Chiyomi Miyajima, Takatsugu Hirayama, Masumi Egawa, Kazuya Takeda, &#8220;Effect of Automatic Lane Changing on Driver\u2019s Behaviour Decision Process&#8221;, 3rd International Symposium on Future Active Safety Technology Toward zero traffic accidents (Fast-zero&#8217;15), Gothenburg, Sweden, 2015.9.9-11.<\/li>\n<li>Kensho Hara, Kenji Mase, &#8220;Hough-based Action Detection with Time-warped Voting&#8221;, 3rd Asian Conference on Pattern Recognition (ACPR), Nov. 3-6, 2015.<\/li>\n<li>Guanwen Zhang, Jien Kato, Yu Wang, and Kenji Mase, &#8220;How to Initialize the CNN for small datasets: Extracting Discriminative Filters from Pre-trained Model&#8221;, the 3th IAPR Asian Conference on Pattern Recognition (ACPR2015), Kuala Lumpur, Malaysia, Nov. 3-6, 2015.<\/li>\n<li>Yuma Kabeya, Fumiharu Tomiyasu and Kenji Mase,&#8221;Semi-automatic Multiple Player Tracking of Soccer Games using Laser Range Finders&#8221;, The Seventh Augmented Human International Conference, Geneva, Feb, 25-26, 2016. Poster(Best Poster Award)<\/li>\n<li>Atsushi Iwatsuki, Takatsugu Hirayama, Junya Morita, Kenji Mase, &#8220;Skilled Gaze Behaviors Extraction Based on Dependency Analysis of Gaze Patterns on Video Scenes&#8221;, ACM Symposium on Eye Tracking Research and Applications, Charleston, SC, US, 2016.3.<\/li>\n<\/ul>\n<h3>\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30fb\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7<\/h3>\n<ul>\n<li>\u698e\u5800\u512a\uff0c\u6797\u5927\u96c5\uff0c\u9593\u702c\u5065\u4e8c, \u201c\u5e03\u30bb\u30f3\u30b5\u306b\u3088\u308b\u8098\u95a2\u7bc0\u89d2\u5ea6\u63a8\u5b9a\u306b\u304a\u3051\u308b\u65e5\u5e38\u751f\u6d3b\u59ff\u52e2\u3092\u7528\u3044\u305f\u30ba\u30ec\u88dc\u6b63\u624b\u6cd5\u306e\u691c\u8a0e\u201d, \u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\uff0c\u5206\u6563\uff0c\u5354\u8abf\u3068\u30e2\u30d0\u30a4\u30eb\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 2015 (DICOMO2015)\u96c6\u4f1a\uff0c2015.7.<\/li>\n<li>Kensho Hara, Kenji Mase, &#8220;Hough-based Action Detection with Time-warped Voting&#8221;, MIRU 2015 \u7b2c18\u56de \u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0, 2015.7.28-30. \u53e3\u982d\u767a\u8868\uff0e<\/li>\n<li>Atsushi Iwatsuki, Takatsugu Hirayama, Junya Morita, Kenji Mase, &#8220;Data-Driven Extraction of Skilled Gaze Behaviors&#8221;, \u7b2c18\u56de\u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(MIRU), \u5927\u962a, 2015.7.28-30, \u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u767a\u8868.<\/li>\n<li>Xueting Wang, Takatsugu Hirayama, Kenji Mase, &#8220;Context-aware Multi-view Viewpoint Selection&#8221;, \u7b2c18\u56de\u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0(MIRU), 2015.7.28-30,\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u767a\u8868.<\/li>\n<li>\u698e\u5800\u512a\uff0c\u9593\u702c\u5065\u4e8c, \u201c\u30d9\u30c3\u30c8\u30b7\u30fc\u30c4\u578b\u5e03\u5727\u529b\u30bb\u30f3\u30b5\u306b\u3088\u308b\u4f53\u5727\u5206\u5e03\u6e2c\u5b9a\u3068\u8925\u7621\u4e88\u9632\u5fdc\u7528\u201d, \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a\u7b2c7\u56de\u30de\u30a4\u30af\u30ed\u30fb\u30ca\u30ce\u5de5\u5b66\u30b7\u30f3\u30db\u309a\u30b7\u3099\u30a6\u30e0\u8b1b\u6f14\u8ad6\u6587\u96c6 2015.10\uff0e<\/li>\n<li>\u5150\u7389\u7fd4\uff0c\u698e\u5800\u512a\uff0c\u9593\u702c\u5065\u4e8c\uff0c&#8221;\u8ddd\u96e2\u753b\u50cf\u30bb\u30f3\u30b5\u3092\u7528\u3044\u305f\u5b89\u5168 \u201c\u6b69\u304d\u30b9\u30de\u30db\u201d \u30b7\u30b9\u30c6\u30e0\u306e\u63d0\u6848&#8221;\u3001\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f32016\uff0c\u79d1\u5b66\u6280\u8853\u9928\uff0c\u6771\u4eac\uff0c2016.3.2\uff0c(\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u767a\u8868)<\/li>\n<li>\u4e26\u5ddd\u771f\u4e5f\uff0c\u698e\u5800\u512a\uff0c\u9593\u702c\u5065\u4e8c\uff0c&#8221;\u4f38\u7e2e\u306b\u3088\u308b\u62b5\u6297\u5909\u5316\u3092\u5229\u7528\u3057\u305f\u7d44\u7d10\u30bb\u30f3\u30b5\u306e\u57fa\u790e\u691c\u8a0e&#8221;\u3001\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f32016\uff0c\u79d1\u5b66\u6280\u8853\u9928\uff0c\u6771\u4eac\uff0c2016.3.2\uff0c(\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u767a\u8868)<\/li>\n<\/ul>\n<h3>\u7814\u7a76\u4f1a<\/h3>\n<ul>\n<li>\u5c0f\u4e45\u4fdd\u5609\u4eba, \u738b\u5f67, \u52a0\u85e4\u30b8\u30a7\u30fc\u30f3, \u9593\u702c\u5065\u4e8c,\u201c\u30b5\u30fc\u30d5\u30a7\u30b9\u30ec\u30a4\u30a2\u30a6\u30c8\u3092\u7528\u3044\u305f\u5358\u773c\u30ab\u30e1\u30e9\u6620\u50cf\u304b\u3089\u306e\u8def\u9762\u4f4d\u7f6e\u63a8\u5b9a\u201d, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a(PRMU), \u4e09\u91cd\u5927\u5b66, 2015.5.14-15<\/li>\n<li>\u698e\u5800\u512a\uff0c\u68ee\u7950\u99ac, \u9593\u702c\u5065\u4e8c, \u201c\u97f3\u58f0\u901a\u77e5\u578b\u59ff\u52e2\u7dad\u6301\u88dc\u52a9\u30b7\u30b9\u30c6\u30e0\u306e\u65e5\u5e38\u5229\u7528\u3092\u60f3\u5b9a\u3057\u305f\u9577\u6642\u9593\u30fb\u7e70\u308a\u8fd4\u3057\u5229\u7528\u306b\u304a\u3051\u308b\u6027\u80fd\u8a55\u4fa1\u201d,\u7b2c46\u56deUBI\u7814\u7a76\u4f1a\uff0c2015.5\uff0e<\/li>\n<li>\u68ee\u7530\u7d14\u54c9, \u5e73\u5c71\u9ad8\u55e3, \u9593\u702c\u5065\u4e8c, \u5c71\u7530\u548c\u7bc4. \u30e1\u30f3\u30bf\u30eb\u30bf\u30a4\u30e0\u30c8\u30e9\u30d9\u30eb\u3092\u8a98\u5c0e\u3059\u308b\u30e2\u30c7\u30eb\u30d9\u30fc\u30b9\u56de\u60f3\u6cd5. \u9ad8\u9f62\u793e\u4f1a\u30c7\u30b6\u30a4\u30f3\u7814\u7a76\u4f1a (ASD). 2015.7.27-28.<\/li>\n<li>\u698e\u5800\u512a, \u6797\u5343\u5c0b, \u9593\u702c\u5065\u4e8c, \u201c\u5727\u529b\u5e03\u30bb\u30f3\u30b5\u306e\u8925\u7621\u30b1\u30a2\u5fdc\u7528\u201d, \u7b2c1\u56dee-textile \/ e-garment \u7814\u7a76\u4f1a, 2016.1.<\/li>\n<li>\u6797\u5343\u5c0b\uff0c\u539f\u5065\u7fd4\uff0c\u698e\u5800\u512a\uff0c\u9593\u702c\u5065\u4e8c\uff0e&#8221;\u5e03\u5727\u529b\u30bb\u30f3\u30b5\u3092\u7528\u3044\u305f\u7761\u7720\u6642\u306e\u59ff\u52e2\u5206\u985e&#8221;\uff0c\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u30fb\u30e1\u30c7\u30a3\u30a2\u7406\u89e3\u7814\u7a76\u4f1a (PRMU)\uff0cVol\uff0e115\uff0cNo\uff0e414\uff0cpp.41-46 2016.1.21-22\uff0e<\/li>\n<li>\u5c0f\u4e45\u4fdd\u5609\u4eba, \u738b\u5f67, \u52a0\u85e4\u30b8\u30a7\u30fc\u30f3, \u9593\u702c\u5065\u4e8c\uff0c\u201c\u7d71\u8a08\u60c5\u5831\u3092\u7528\u3044\u305f\u6b69\u884c\u8005\u306e\u7cbe\u7d30\u5206\u985e\u201d, \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u7814\u7a76\u5831\u544a(PRMU), \u5927\u962a\u5927\u5b66, 2016.1.21-22<\/li>\n<li>\u51a8\u5b89\u53f2\u967d, \u9593\u702c\u5065\u4e8c. &#8220;\u5e83\u8996\u57df\u89d2\u591a\u8996\u70b9\u6620\u50cf\u306b\u304a\u3051\u308b\u8996\u8074\u5bfe\u8c61\u306e\u79fb\u52d5\u4e88\u6e2c\u3092\u8003\u616e\u3057\u305f\u610f\u5473\u7684\u306b\u9023\u7d9a\u306a\u30d5\u30ec\u30fc\u30e0\u7fa4\u306e\u62bd\u51fa&#8221;, \u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\u30fb\u4eee\u60f3\u74b0\u5883\u57fa\u790e\u7814\u7a76\u4f1a\uff08MVE\uff09, 2016.3.7-8, \u30dd\u30b9\u30bf\u30fc\u767a\u8868.<\/li>\n<li>\u6c6a\u96ea\u30c6\u30a4, \u539f\u5065\u7fd4, \u698e\u5800\u512a, \u9593\u702c\u5065\u4e8c. &#8220;\u8996\u8074\u5bfe\u8c61\u306e\u8ecc\u8de1\u5206\u5e03\u306b\u57fa\u3065\u304f\u30b5\u30c3\u30ab\u30fc\u591a\u8996\u70b9\u6620\u50cf\u306e\u8996\u70b9\u63a8\u85a6&#8221;, \u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\u30fb\u4eee\u60f3\u74b0\u5883\u57fa\u790e\u7814\u7a76\u4f1a\uff08MVE\uff09, 2016.3.7-8.<\/li>\n<li>\u539f\u5065\u7fd4\uff0c\u9593\u702c\u5065\u4e8c. &#8220;Hough Forests\u3092\u7528\u3044\u305f\u30b9\u30b1\u30fc\u30eb\u5909\u5316\u306b\u9811\u5065\u306a\u884c\u52d5\u691c\u51fa&#8221;\uff0c\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u30fb\u30e1\u30c7\u30a3\u30a2\u7406\u89e3\u7814\u7a76\u4f1a (PRMU)\uff0c2016.3.24-25\uff0e<\/li>\n<\/ul>\n<h3>\u5168\u56fd\u5927\u4f1a<\/h3>\n<ul>\n<li>\u68ee\u7530\u7d14\u54c9, \u5e73\u5c71\u9ad8\u55e3, \u9593\u702c\u5065\u4e8c, \u5c71\u7530\u548c\u7bc4. &#8220;\u5065\u5eb7\u9577\u5bff\u529b\u306e\u6e2c\u5b9a\u3068\u7dad\u6301\u306b\u5411\u3051\u305f \u5199\u771f\u30b9\u30e9\u30a4\u30c9\u30b7\u30e7\u30fc\u306e\u691c\u8a0e&#8221;, \u7b2c54\u56de\u65e5\u672c\u751f\u4f53\u533b\u5de5\u5b66\u4f1a\u5927\u4f1a, \u540d\u53e4\u5c4b\u5e02\u56fd\u969b\u4f1a\u8b70\u5834, 2015.5. <a title=\"\" href=\"http:\/\/www.cmc.ss.is.nagoya-u.ac.jp\/pukiwiki\/Papers\/2015\/jsmbe_poster_morita.pdf\"><img loading=\"lazy\" src=\"https:\/\/www.cmc.ss.is.nagoya-u.ac.jp\/pukiwiki\/image\/file.png\" alt=\"file\" width=\"20\" height=\"20\" \/><\/a><\/li>\n<li>\u68ee\u7530\u7d14\u54c9, \u5e73\u5c71\u9ad8\u55e3, \u9593\u702c\u5065\u4e8c, \u5c71\u7530\u548c\u7bc4. &#8220;\u8a8d\u77e5\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3092\u7d44\u307f\u5165\u308c\u305f\u5199\u771f\u30b9\u30e9\u30a4\u30c9\u30b7\u30e7\u30fc\u306e\u958b\u767a\uff1a\u5c55\u671b\u3068\u8ab2\u984c&#8221;, JSAI2015, \u306f\u3053\u3060\u3066\u672a\u6765\u5927\u5b66, 2015.5.<\/li>\n<li>\u901f\u6c34\u614e\u592a\u6717, \u68ee\u7530\u7d14\u54c9, \u5e73\u5c71\u9ad8\u55e3, \u9593\u702c\u5065\u4e8c, \u5c71\u7530\u548c\u7bc4. &#8220;\u8208\u5473\u3084\u8a18\u61b6\u529b\u306e\u63a8\u5b9a\u306e\u305f\u3081\u306e\u5199\u771f\u95b2\u89a7\u6642\u306e\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u751f\u4f53\u4fe1\u53f7\u89e3\u6790&#8221;, JSAI2015, \u306f\u3053\u3060\u3066\u672a\u6765\u5927\u5b66, 2015.5.<\/li>\n<li>\u901f\u6c34\u614e\u592a\u6717, \u68ee\u7530\u7d14\u54c9, \u5e73\u5c71\u9ad8\u55e3, \u9593\u702c\u5065\u4e8c, \u5c71\u7530\u548c\u7bc4. &#8220;\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u751f\u4f53\u4fe1\u53f7\u89e3\u6790\u306b\u3088\u308b\u30d1\u30fc\u30bd\u30ca\u30eb\u306a\u5199\u771f\u306b\u5bfe\u3059\u308b\u8208\u5473\u3068\u8a18\u61b6\u306e\u5f37\u3055\u306e\u63a8\u5b9a&#8221;, \u65e5\u672c\u8a8d\u77e5\u79d1\u5b66\u4f1a\u7b2c32\u56de\u5927\u4f1a, \u5343\u8449\u5927\u5b66, 2015.9.<\/li>\n<\/ul>\n<h3>\u652f\u90e8\u5927\u4f1a<\/h3>\n<ul>\n<li>Cong Cao\uff0cGuanwen Zhang\uff0cYu Wang\uff0cJien Kato and Kenji Mase\uff0c\u201cEvaluation of CNN Features in Poselets Classification\u201d, \u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u6771\u6d77\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6, \u540d\u53e4\u5c4b\u5de5\u696d\u5927\u5b66, 2015.9.28-29<\/li>\n<li>\u5c0f\u91ce\u702c\u826f\u4f51\uff0c\u738b\u5f67\uff0c\u52a0\u85e4\u30b8\u30a7\u30fc\u30f3\uff0c\u9593\u702c\u5065\u4e8c\uff0c\u201c\u30c1\u30e7\u30a6\u306e\u7a2e\u985e\u3092\u7279\u5b9a\u3059\u308b\u7269\u4f53\u8a8d\u8b58\u624b\u6cd5\u306e\u691c\u8a0e\u201d, \u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u6771\u6d77\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6, \u540d\u53e4\u5c4b\u5de5\u696d\u5927\u5b66, 2015.9.28-29<\/li>\n<li>\u5185\u85e4\u8cb4\uff0c\u738b\u5f67\uff0c\u52a0\u85e4\u30b8\u30a7\u30fc\u30f3\uff0c\u9593\u702c\u5065\u4e8c\uff0c\u201c\u6642\u7a7a\u9593\u4e0a\u66b4\u529b\u30b7\u30fc\u30f3\u30e9\u30d9\u30ea\u30f3\u30b0\u30c4\u30fc\u30eb\u306e\u63d0\u6848\u201d, \u96fb\u6c17\u95a2\u4fc2\u5b66\u4f1a\u6771\u6d77\u652f\u90e8\u9023\u5408\u5927\u4f1a\u8b1b\u6f14\u8ad6\u6587\u96c6, \u540d\u53e4\u5c4b\u5de5\u696d\u5927\u5b66, 2015.9.28-29<\/li>\n<\/ul>\n<h3>\u7d00\u8981<\/h3>\n<h3>\u89e3\u8aac\u8a18\u4e8b\u3001\u30ec\u30d3\u30e5\u30fc\u3001\u5831\u544a\u66f8<\/h3>\n<h3>\u5c55\u793a\u4f1a<\/h3>\n<h3>\u62db\u5f85\u8b1b\u6f14<\/h3>\n<ul>\n<li>\u698e\u5800\u512a, &#8220;\u5e03\u30bb\u30f3\u30b5\u3092\u7528\u3044\u305f\u30a6\u30a7\u30a2\u30e9\u30d6\u30eb\u30c7\u30d0\u30a4\u30b9\u306b\u3088\u308b\u8eab\u4f53\u52d5\u4f5c\u8a08\u6e2c&#8221;, \u7b2c2\u56de\u30ed\u30dc\u30c3\u30c8\u8b1b\u6f14\u4f1a, 2015.6. (\u62db\u5f85\u8b1b\u6f14)<\/li>\n<li>\u698e\u5800\u512a, &#8220;\u5c0e\u96fb\u6027\u7e4a\u7dad\u3092\u7528\u3044\u305f\u7e54\u7269\u30bb\u30f3\u30b5\u306e\u533b\u7642\u30fb\u770b\u8b77\u7814\u7a76\u3067\u306e\u6d3b\u7528\u4e8b\u4f8b&#8221;,\u7b2c32\u56de\u30dd\u30ea\u30de\u30fc\u5149\u90e8\u54c1(POC)\u7814\u7a76\u4f1a, 2015.7. (\u62db\u5f85\u8b1b\u6f14)<\/li>\n<li>\u9593\u702c\u5065\u4e8c, &#8220;\u30e9\u30a4\u30d5\u30ed\u30b0\u306b\u57fa\u3065\u304f\u5065\u5eb7\u9577\u5bff\u529b\u306e\u79d1\u5b66&#8221;, K-\u30d5\u30a9\u30fc\u30e9\u30e0\uff0c\u9ad8\u5c71\u5e02\uff0c\u5c90\u961c\u770c, 2015.8.24-26 \uff08\u62db\u5f85\u8b1b\u6f14\uff09<\/li>\n<li>\u9593\u702c\u5065\u4e8c, &#8220;\u500b\u4eba\u30e9\u30a4\u30d5\u30ed\u30b0\u3092\u7528\u3044\u305fe-\u30b3\u30fc\u30c1\u30f3\u30b0&#8221;,\u3000\u5e73\u621027\u5e74\u5ea6\u96fb\u6c17\u30fb\u96fb\u5b50\u30fb\u60c5\u5831\u95a2\u4fc2\u5b66\u4f1a\u6771\u6d77\u652f\u90e8\u9023\u5408\u5927\u4f1a\uff0c\u540d\u5de5\u5927\uff0c\u540d\u53e4\u5c4b\u5e02, 2015.9.28 \uff08\u62db\u5f85\u8b1b\u6f14\uff09<\/li>\n<li>Yu Enokibori and Kenji Mase, &#8220;Weave structure based e-textile sensors and their applications to medical\/health care garments&#8221;,Fashion Future 2015, 2015.10. (\u62db\u5f85\u8b1b\u6f14)<\/li>\n<li>Junya Morita, Takatsugu Hirayama, Kenji Mase and Kazunori Yamada: Mirroring Autobiographical Memory by Cognitive Architecture, International Conference on Biologically Inspired Cognitive Architectures (BICA), Lyon, France, 2015.11.06 \uff08Invited talk\uff09<\/li>\n<li>Kenji Mase, &#8220;e-Coaching\uff1aUbiquitous and Wearable Sensing and Life-logginh for Living Support and Empowerment&#8221;, University of British Columbia, Vancouver, Canada, 2015.11.9\u00a0 \uff08\u62db\u5f85\u8b1b\u6f14\uff09<\/li>\n<li>\u68ee\u7530\u7d14\u54c9, \u5e73\u5c71\u9ad8\u55e3, \u9593\u702c\u5065\u4e8c, \u5c71\u7530\u548c\u7bc4: &#8220;\u8a8d\u77e5\u30e2\u30c7\u30ea\u30f3\u30b0\u306b\u57fa\u3065\u304f\u9ad8\u9f62\u8005\u652f\u63f4\u306e\u8a66\u307f&#8221;, \u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a \u5408\u540c\u7814\u7a76\u4f1a, \u6176\u61c9\u7fa9\u587e\u5927\u5b66, 2015.11.14 \uff08\u512a\u79c0\u8cde\u8a18\u5ff5\u8b1b\u6f14\uff09<\/li>\n<li>\u698e\u5800\u512a, &#8220;\u7e54\u308a\u69cb\u9020\u306b\u3088\u308b\u5e03\u30bb\u30f3\u30b5\u3068\u533b\u7642\u30fb\u770b\u8b77\u306b\u304a\u3051\u308b\u6d3b\u7528\u4e8b\u4f8b&#8221;, 2015\u5e74\u5ea6 \u7b2c2\u56de P&amp;I\u7814\u7a76\u4f1a \u30b7\u30f3\u30dd\u30b8\u30a6\u30e0 \u300c\u5370\u5237\u3068\u30bb\u30f3\u30b5\u30fc\uff5e\u3055\u3089\u306b\u8eab\u8fd1\u306b\u306a\u308b\u30bb\u30f3\u30b5\u30fc\u6280\u8853\u300d, 2015.11. \uff08\u62db\u5f85\u8b1b\u6f14\uff09<\/li>\n<li>\u698e\u5800\u512a, &#8220;\u8863\u985e\u578b\u30bb\u30f3\u30b5\u3068\u5e03\u72b6\u30bb\u30f3\u30b5\u306e\u73fe\u72b6\u3068\u4eca\u5f8c\u306e\u5c55\u671b \u2012 \u5f97\u624b\u4e0d\u5f97\u624b\u3001\u6d3b\u8e8d\u3067\u304d\u308b\u306e\u306f\u4f55\u51e6\u304b \u2012&#8221;, \u3042\u3044\u3061\u7523\u696d\u79d1\u5b66\u6280\u8853\u7dcf\u5408\u30bb\u30f3\u30bf\u30fc\u5c3e\u5f35\u7e4a\u7dad\u6280\u8853\u30bb\u30f3\u30bf\u30fc \u5e73\u621027\u5e74\u5ea6\u7814\u7a76\u6210\u679c\u666e\u53ca\u8b1b\u7fd2\u4f1a, 2016.3.18.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u8ad6\u6587 Michimasa Inaba, Naoyuki Iwata, Fujio Toriumi, Takatsugu Hirayama, Yu Enokibori, Kenichi Takahashi, Kenji M [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":26,"menu_order":-2015,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.cmc.is.i.nagoya-u.ac.jp\/index.php?rest_route=\/wp\/v2\/pages\/818"}],"collection":[{"href":"https:\/\/www.cmc.is.i.nagoya-u.ac.jp\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.cmc.is.i.nagoya-u.ac.jp\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.cmc.is.i.nagoya-u.ac.jp\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cmc.is.i.nagoya-u.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=818"}],"version-history":[{"count":1,"href":"https:\/\/www.cmc.is.i.nagoya-u.ac.jp\/index.php?rest_route=\/wp\/v2\/pages\/818\/revisions"}],"predecessor-version":[{"id":822,"href":"https:\/\/www.cmc.is.i.nagoya-u.ac.jp\/index.php?rest_route=\/wp\/v2\/pages\/818\/revisions\/822"}],"up":[{"embeddable":true,"href":"https:\/\/www.cmc.is.i.nagoya-u.ac.jp\/index.php?rest_route=\/wp\/v2\/pages\/26"}],"wp:attachment":[{"href":"https:\/\/www.cmc.is.i.nagoya-u.ac.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=818"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}