{"id":745,"date":"2014-07-14T17:28:08","date_gmt":"2014-07-14T08:28:08","guid":{"rendered":"http:\/\/cmc.ss.is.nagoya-u.ac.jp\/?page_id=745"},"modified":"2016-04-05T15:30:09","modified_gmt":"2016-04-05T06:30:09","slug":"2014paperlist","status":"publish","type":"page","link":"https:\/\/www.cmc.is.i.nagoya-u.ac.jp\/?page_id=745","title":{"rendered":"2014\u5e74\u5ea6\u8ad6\u6587\u30ea\u30b9\u30c8"},"content":{"rendered":"<h3>\u8ad6\u6587<\/h3>\n<ul>\n<li>\u539f\u5065\u7fd4\uff0c\u5e73\u5c71\u9ad8\u55e3\uff0c\u9593\u702c\u5065\u4e8c\uff0c&#8221;\u591a\u8996\u70b9\u6620\u50cf\u306b\u304a\u3051\u308b\u30cf\u30d5\u5909\u63db\u306b\u57fa\u3065\u304f\u6295\u7968\u51e6\u7406\u3092\u7528\u3044\u305f\u4eba\u7269\u884c\u52d5\u8a8d\u8b58\u3068\u4f4d\u7f6e\u63a8\u5b9a\u306e\u540c\u6642\u51e6\u7406&#8221;\uff0c\u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8cC \u300c\u6a5f\u68b0\u5b66\u7fd2\u624b\u6cd5\u306b\u57fa\u3065\u304f\u8a2d\u5099\u8a3a\u65ad\u30fb\u76e3\u8996\u6280\u8853\u300d\u7279\u96c6\uff0cVol. 134, No. 5, pp. 634&#8211;642, (2014.05)<\/li>\n<li>Shohei Usui, Fujio Toriumi, Masato Matsuo, Takatsugu Hirayama, Yu Enokibori, and Kenji Mase, &#8220;Proposal for a generalized Network Growth Model of Social Network Service&#8221;\uff0cSecial Issue on &#8220;Autonomous Agents and Multiagent Systems&#8221; in The Journal of Computational Intelligence and Intelligent Informatics (JACIII)\uff0c<\/li>\n<li>\u51a8\u5b89\u53f2\u967d\uff0c\u5e73\u5c71\u9ad8\u55e3\uff0c\u9593\u702c\u5065\u4e8c\uff0c&#8221;Kalman-Filter\u4e88\u6e2c\u3092\u7528\u3044\u305f\u7279\u5fb4\u70b9\u30de\u30c3\u30c1\u30f3\u30b0\u3068Mean-Shift\u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u7c97\u5bc6\u63a2\u7d22\u306b\u57fa\u3065\u304f\u7279\u5fb4\u70b9\u8ffd\u8de1&#8221;\uff0c\u753b\u50cf\u96fb\u5b50\u5b66\u4f1a\u8ad6\u6587\u8a8c<\/li>\n<li>Guanwen Zhang, Jien Kato, Yu Wang, Kenji Mase. &#8220;Multi-Stage Deep Convolutional Learning for People Re-identification&#8221;. International Journal of Computer System Science and Engineering (IJCSSE), Vol. 29, No. 4, pp. 243-257, July, 2014.<\/li>\n<li>Guanwen Zhang, Jien Kato, Yu Wang, Kenji Mase. &#8220;People Re-identification with Local Distance Comparison using Learned Metric&#8221;. IEICE Trans. on Information and System, Vol. E97-D, No. 9, pp. 2461-2472, Sep. 2014.<\/li>\n<li>Guanwen Zhang, Jien Kato, Yu Wang, Kenji Mase. &#8220;Adaptive Metric Learning for People Re-identification&#8221;. IEICE Trans. on Information and System, Vol. E97-D, No. 11, pp. 2888-2902, Nov. 2014.<\/li>\n<\/ul>\n<h3>\u56fd\u969b\u4f1a\u8b70<\/h3>\n<ul>\n<li><span style=\"font-size: 13px;\">Shohei Usui, Fujio Toriumi, Takatsugu Hirayama, and Kenji Mase, &#8220;Analysis of Information Diffusion on Directed Networks&#8221;, The 6th International Workshop on Emergent Intelligence on Networked Agents (WEIN&#8217;14), 2014.5.<\/span><\/li>\n<\/ul>\n<ul>\n<li>Chaowei Fang, Takatsugu Hirayama, Kenji Mase, &#8220;Free-viewpoint Video Synthesis of Soccer Match using Multiple Camera Sources&#8221;, 3DSA 2014 Korea (Poster section).<\/li>\n<li>Shohei Usui, Fujio Toriumi, Takatsugu Hirayama, and Kenji Mase, &#8220;Analysis of Information Diffusion Focusing on Directed Network&#8221;, NetSci2014, 2014.6.<\/li>\n<li>Takatsugu Hirayama, Shota Sato, Kenji Mase, Chiyomi Miyajima, Kazuya Takeda, &#8220;Analysis of Peripheral Vehicular Behavior in Driver&#8217;s Gaze Transition: Differences between Driver&#8217;s Neutral and Cognitive Distraction States&#8221;, IEEE 17th Conference on Intelligent Transportation Systems (ITSC), 2014.10.<\/li>\n<li>Kensho Hara, Takatsugu Hirayama, and Kenji Mase, &#8220;Trend-Sensitive Hough Forests for Action Detection&#8221;, ICIP 2013.<\/li>\n<li>Xueting Wang\u0003, Yuki Muramatu, Takatsugu Hirayama and Kenji Mase, &#8220;Context-dependent Viewpoint Sequence Recommendation System for Multi-view Video&#8221;, ISM 2014.<\/li>\n<\/ul>\n<h3>\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u30fb\u30ef\u30fc\u30af\u30b7\u30e7\u30c3\u30d7<\/h3>\n<ul>\n<li><span style=\"font-size: 13px;\">\u85ea\u572d\u8f14\uff0c\u698e\u5800\u512a\uff0c\u9593\u702c\u5065\u4e8c\uff0e&#8221;\u30e9\u30a4\u30d5\u30ed\u30b0\u306b\u3088\u308b\u6642\u9593\u5e2f\u5225\u79fb\u52d5\u5148\u4e88\u6e2c\u306b\u9069\u3059\u308b\u30a8\u30ea\u30a2\u7c92\u5ea6\u306e\u691c\u8a0e&#8221; \uff0cDICOMO2014\uff0c\u6708\u5ca1\u6e29\u6cc9\u00a0\u30db\u30c6\u30eb\u6cc9\u6176\uff0c\u65b0\u6f5f\u770c\uff0c2014.7.<\/span><\/li>\n<\/ul>\n<ul>\n<li>\u68ee\u7950\u99ac\uff0c\u698e\u5800\u512a\uff0c\u9593\u702c\u5065\u4e8c\uff0e&#8221;\u30a6\u30a7\u30a2\u30e9\u30d6\u30eb\u52a0\u901f\u5ea6\u30bb\u30f3\u30b5\u3092\u5229\u7528\u3057\u305f\u59ff\u52e2\u6539\u5584\u88dc\u52a9\u30b7\u30b9\u30c6\u30e0&#8221; \uff0cDICOMO2014\uff0c\u6708\u5ca1\u6e29\u6cc9 \u30db\u30c6\u30eb\u6cc9\u6176\uff0c\u65b0\u6f5f\u770c\uff0c2014.7.<\/li>\n<li>\u539f\u5065\u7fd4\uff0c\u5e73\u5c71\u9ad8\u55e3\uff0c\u9593\u702c\u5065\u4e8c\uff0c&#8221;\u6295\u7968\u5206\u5e03\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u30cf\u30d5\u5909\u63db\u306b\u57fa\u3065\u304f\u884c\u52d5\u691c\u51fa&#8221;, MIRU 2014 \u7b2c17\u56de \u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0, 2014.7.<\/li>\n<li>\u9593\u702c\u5065\u4e8c, \u5ddd\u672c\u54f2\u4e5f\u3001\u85e4\u4e95\u4fca\u5f70\u3001\u300c\u5e83\u8996\u57df\u89d2\u81ea\u7531\u8996\u70b9\u6620\u50cf\u306e\u305f\u3081\u306e\u000b\u6b21\u4e16\u4ee3\u30de\u30eb\u30c1\u30d3\u30e5\u30fc\u30d3\u30c7\u30aa\u914d\u4fe1\u30fb\u8996\u8074\u65b9\u5f0f\u300d\u3001ICT\u30a4\u30ce\u30d9\u30fc\u30b7\u30e7\u30f3\u30d5\u30a9\u30fc\u30e9\u30e0\u3001\u5e55\u5f35\u30e1\u30c3\u30bb\u30012014.10.7<\/li>\n<li>\u58c1\u8c37\u52c7\u78e8\uff0c\u51a8\u5b89\u53f2\u967d\uff0c\u9593\u702c\u5065\u4e8c\uff0c&#8221;\u30ec\u30fc\u30b6\u30b9\u30ad\u30e3\u30ca\u3092\u7528\u3044\u305f\u30b5\u30c3\u30ab\u30fc\u9078\u624b\u306e\u534a\u81ea\u52d5\u8ffd\u8de1&#8221;\u3001\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f32015\uff0c\u65e5\u672c\u79d1\u5b66\u672a\u6765\u9928\u53ca\u3073\u6771\u4eac\u56fd\u969b\u4ea4\u6d41\u9928\uff0c\u6771\u4eac\uff0c2015.3.6\uff0c\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u767a\u8868<\/li>\n<\/ul>\n<h3>\u7814\u7a76\u4f1a<\/h3>\n<ul>\n<li>\u58c1\u8c37\u52c7\u78e8\uff0c\u539f\u5065\u7fd4\uff0c\u9593\u702c\u5065\u4e8c\uff0e&#8221;\u6620\u50cf\u7279\u5fb4\u3092\u7528\u3044\u305f\u30b5\u30c3\u30ab\u30fc\u9078\u624b\u306e\u30d7\u30ec\u30fc\u8a8d\u8b58&#8221; \uff0c\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u30fb\u30e1\u30c7\u30a3\u30a2\u7406\u89e3\u7814\u7a76\u4f1a(PRMU)\uff0c\u6771\u4eac\u8fb2\u5de5\u5927\u5b66\uff0c\u6771\u4eac\u90fd\uff0c2014.6.<\/li>\n<li>Wang Xueting\uff0c\u6751\u677e\u7950\u5e0c\uff0c\u5e73\u5c71\u9ad8\u55e3\uff0c\u9593\u702c\u5065\u4e8c\uff0e&#8221;\u6620\u50cf\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u306b\u57fa\u3065\u304f\u591a\u8996\u70b9\u6620\u50cf\u306e\u8996\u70b9\u5217\u63a8\u85a6&#8221; \uff0c\u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\u30fb\u4eee\u60f3\u74b0\u5883\u57fa\u790e\u7814\u7a76\u4f1a\uff08MVE)\uff0c\u5317\u6d77\u9053\u5927\u5b66\uff0c\u672d\u5e4c\uff0c2014.6.<\/li>\n<li>\u85ea\u572d\u8f14\uff0c\u698e\u5800\u512a\uff0c\u9593\u702c\u5065\u4e8c\uff0e&#8221;\u505c\u7559\u6642Wi-Fi\u96fb\u6ce2\u30ed\u30b0\u3092\u7528\u3044\u305f\u7269\u7406\u7c92\u5ea6\u53ef\u5909\u306a\u30a8\u30ea\u30a2\u8b58\u5225\u5668\u306e\u69cb\u7bc9\u306e\u691c\u8a0e&#8221;\uff0c\u7b2c44\u56deUBI\u7814\u7a76\u4f1a\uff0c\u6c96\u7e04\u770c\uff0c\u6c96\u7e04\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66\u5927\u5b66\uff0c2014.10.<\/li>\n<li>\u5927\u6a4b\u52c7\u4ecb\uff0c\u698e\u5800\u512a\uff0c\u9593\u702c\u5065\u4e8c\uff0e&#8221;\u6b69\u884c\u6642\u306e\u6700\u5927\u5727\u9078\u629e\u8db3\u5727\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u8def\u9762\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u306e\u8b58\u5225&#8221;\uff0c\u7b2c44\u56deUBI\u7814\u7a76\u4f1a\uff0c\u6c96\u7e04\u770c\uff0c\u6c96\u7e04\u79d1\u5b66\u6280\u8853\u5927\u5b66\u9662\u5927\u5b66\u5927\u5b66\uff0c2014.10.<\/li>\n<li>\u5ca9\u6708\u539a\uff0c\u5e73\u5c71\u9ad8\u55e3\uff0c\u68ee\u7530\u7d14\u54c9\uff0c\u9593\u702c\u5065\u4e8c\uff0e&#8221;\u6620\u50cf\u30b7\u30fc\u30f3\u306b\u5bfe\u3059\u308b\u8996\u7dda\u30d1\u30bf\u30fc\u30f3\u306e\u4f9d\u5b58\u6027\u306e\u89b3\u5bdf\u8005\u9593\u6bd4\u8f03\u306b\u57fa\u3065\u304f\u719f\u7df4\u8005\u7279\u6709\u306e\u6ce8\u8996\u884c\u52d5\u306e\u62bd\u51fa \uff5e \u30b5\u30c3\u30ab\u30fc\u8a66\u5408\u306b\u304a\u3051\u308b\u30b3\u30fc\u30c1\u30f3\u30b0\u3092\u4f8b\u3068\u3057\u3066\uff5e&#8221; \uff0c\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u30fb\u30e1\u30c7\u30a3\u30a2\u7406\u89e3\u7814\u7a76\u4f1a(PRMU)\uff0c\u6176\u61c9\u7fa9\u587e\u5927\u5b66\uff0c\u795e\u5948\u5ddd\uff0c2015.3.<\/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;, \u7b2c73\u56de \u5148\u9032\u7684\u5b66\u7fd2\u79d1\u5b66\u3068\u5de5\u5b66\u7814\u7a76\u4f1a (SIG-ALST), \u611b\u77e5\u770c, 2015.3.<\/li>\n<li>\u4e16\u53e4\u7d14\u57fa, \u68ee\u7530\u7d14\u54c9, \u5e73\u5c71\u9ad8\u55e3, \u9593\u702c\u5065\u4e8c, \u5c71\u7530\u548c\u7bc4. &#8220;\u5199\u771f\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u53ef\u8996\u5316\u306b\u3088\u308b\u8a18\u61b6\u60f3\u8d77\u306e\u691c\u8a0e&#8221;, \u7b2c118\u56de\u30d2\u30e5\u30fc\u30de\u30f3\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u5b66\u4f1a\u7814\u7a76\u4f1a (SIG-ACI-15), \u4eac\u90fd\u5de5\u82b8\u7e4a\u7dad\u5927\u5b66, \u4eac\u90fd\u5e9c, 2015.3.<\/li>\n<li>\u65b9\u8d85\u5049\uff0c\u51a8\u5b89\u53f2\u967d\uff0c\u9593\u702c\u5065\u4e8c\uff0e&#8221;\u30b7\u30fc\u30f3\u4e2d\u306e\u4eba\u7269\u306b\u4e57\u308a\u79fb\u308b3D\u81ea\u7531\u8996\u8074\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u306e\u69cb\u7bc9\u3068\u8a55\u4fa1&#8221; \uff0c\u30de\u30eb\u30c1\u30e1\u30c7\u30a3\u30a2\u30fb\u4eee\u60f3\u74b0\u5883\u57fa\u790e\u7814\u7a76\u4f1a\uff08MVE)\uff0c\u6210\u8e4a\u5927\u5b66\uff0c\u6771\u4eac\uff0c2015.3.<\/li>\n<li>\u85ea\u572d\u8f14\uff0c\u698e\u5800\u512a\uff0c\u9593\u702c\u5065\u4e8c\uff0e&#8221;\u505c\u7559\u6642Wi-Fi\u96fb\u6ce2\u30ed\u30b0\u304b\u3089\u9010\u6b21\u69cb\u7bc9\u3057\u305f\u30a8\u30ea\u30a2\u8b58\u5225\u5668\u306e\u5efa\u7269\u69cb\u9020\u304b\u3089\u307f\u305f\u59a5\u5f53\u6027&#8221;\uff0c\u7b2c45\u56deUBI\u7814\u7a76\u4f1a\uff0c\u6771\u4eac\u90fd\uff0c\u829d\u6d66\u5de5\u696d\u5927\u5b66\uff0c2015.3.<\/li>\n<\/ul>\n<h3>\u5168\u56fd\u5927\u4f1a<\/h3>\n<ul>\n<li><span style=\"font-size: 13px;\">\u901f\u6c34\u614e\u592a\u6717, \u5e73\u5c71\u9ad8\u55e3, Sidney Fels, \u9593\u702c\u5065\u4e8c. &#8220;\u591a\u8996\u70b9\u6620\u50cf\u306b\u304a\u3051\u308b\u8996\u5bfe\u8c61\u306b\u5bfe\u3059\u308b\u8208\u5473\u3068\u9078\u629e\u884c\u52d5\u304a\u3088\u3073\u6ce8\u8996\u884c\u52d5\u306e\u95a2\u4fc2\u6027\u5206\u6790&#8221;,2014\u5e74\u5ea6\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a(\u7b2c28\u56de)(JSAI2014)\uff0c2014.5., 3E4-2,\u611b\u5a9b\u770c\u677e\u5c71\u5e02.<\/span><\/li>\n<li><span style=\"font-size: 13px;\">\u5ca9\u6708\u539a\uff0c\u5e73\u5c71\u9ad8\u55e3\uff0c\u68ee\u7530\u7d14\u54c9\uff0c\u9593\u702c\u5065\u4e8c\uff0c&#8221;\u30b5\u30c3\u30ab\u30fc\u6307\u5c0e\u306b\u304a\u3051\u308b\u719f\u7df4\u8005\u3068\u672a\u719f\u8005\u306e\u6ce8\u8996\u884c\u52d5\u306e\u9055\u3044&#8221;\uff0c2014\u5e74\u5ea6\u65e5\u672c\u8a8d\u77e5\u79d1\u5b66\u4f1a\u7b2c31\u56de\u5927\u4f1a(JCSS2014)\uff0cP2-36\uff0c\u540d\u53e4\u5c4b\u5927\u5b66\uff0c2014.9.<\/span><\/li>\n<li><span style=\"font-size: 13px;\">\u5c71\u5d0e\u99ff\uff0c\u5bae\u5cf6\u5343\u4ee3\u7f8e\uff0c\u5742\u6771\u8a89\u53f8\uff0c\u4eba\u898b\u8b19\u592a\u90ce\uff0c\u6c5f\u5ddd\u4e07\u5bff\u4e09\uff0c\u5bfa\u4e95\u4ec1\uff0c\u5965\u7530\u88d5\u4e4b\uff0c\u5e73\u5c71\u9ad8\u55e3\uff0c\u9234\u6728\u9054\u4e5f\uff0c\u6b66\u7530\u4e00\u54c9\uff0c&#8221;\u81ea\u52d5\u904b\u8ee2\u74b0\u5883\u4e0b\u306b\u304a\u3051\u308b\u30c9\u30e9\u30a4\u30d0\u306e\u8996\u884c\u52d5\u5206\u6790&#8221;\uff0c\u8a08\u6e2c\u81ea\u52d5\u5236\u5fa1\u5b66\u4f1a \u30b7\u30b9\u30c6\u30e0\u30fb\u60c5\u5831\u90e8\u9580 \u5b66\u8853\u8b1b\u6f14\u4f1a (SSI 2014)\uff0c\u5ca1\u5c71\u5927\u5b66\uff0c2014.11.<\/span><\/li>\n<\/ul>\n<h3>\u652f\u90e8\u5927\u4f1a<\/h3>\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><span style=\"font-size: 13px;\">Kenji Mase, &#8220;e-Coaching: Wearable and Ubiquitous Sensing and Life-logging for Coaching&#8221;, International Symposium on IT, Seoul National University. Seoul Korea, June 7, 2014.<\/span><\/li>\n<\/ul>\n<ul>\n<li>Takatsugu Hirayama, &#8220;Driver gaze behavior analysis focused on relationships with driving contexts&#8221;, The 10th Asia-Pacific Conference on Vision, 2014.7.<\/li>\n<li>\u5e73\u5c71\u9ad8\u55e3\uff0c\u4eba\u9593\u306e\u5185\u90e8\u72b6\u614b\u3092\u9855\u5728\u5316\u3059\u308b\u8996\u899a\u7684\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f3\uff0c\u7b2c14\u56deK\u30d5\u30a9\u30fc\u30e9\u30e0\uff0c2014.8.<\/li>\n<li>\u5e73\u5c71\u9ad8\u55e3\uff0c\u76ee\u306f\u53e3\u307b\u3069\u306b\u3082\u306e\u3092\u8a00\u3046\u304b\uff1f\u30fc\u81ea\u52d5\u8eca\u904b\u8ee2\u8005\u306e\u5185\u90e8\u72b6\u614b\u3068\u8996\u884c\u52d5\u30fc\uff0c\u7b2c19\u56de\u65e5\u672c\u30d0\u30fc\u30c1\u30e3\u30eb\u30ea\u30a2\u30ea\u30c6\u30a3\u5b66\u4f1a\u5927\u4f1a\u8907\u5408\u73fe\u5b9f\u611f\u7814\u7a76\u4f1a\uff0c2014.9.<\/li>\n<li>\u9593\u702c\u5065\u4e8c\u3001\u300c\u30de\u30eb\u30c1\u30e2\u30fc\u30c0\u30eb\u306a\u4f53\u9a13\u30fb\u6280\u306e\u8a18\u9332\u3068\u5171\u6709\uff0dE-coaching:\u30b3\u30fc\u30c1\u30f3\u30b0\u652f\u63f4\u306e\u305f\u3081\u306e\u30de\u30eb\u30c1\u30bb\u30f3\u30b5\u5229\u7528\u300dNPO\u30a6\u30a7\u30a2\u30e9\u30d6\u30eb\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u7814\u7a76\u958b\u767a\u6a5f\u69cb\u7814\u7a76\u4f1a \u300c\u30a6\u30a8\u30a2\u30e9\u30d6\u30eb\u304c\u62d3\u304f\u4f53\u9a13\u3068\u611f\u899a\u306e\u62e1\u5f35\u300d\u3001\u306f\u3053\u3060\u3066\u672a\u6765\u5927\u5b66\u30012014\/9\/25<\/li>\n<li>\u9593\u702c\u5065\u4e8c\u3001\u300c\u4f53\u306e\u52d5\u304d\u3092\u77e5\u308b\uff0d\u30b7\u30fc\u30c4\u30bb\u30f3\u30b5\u3067\u5e8a\u305a\u308c\u3092\u77e5\u308b\u300d\u3001\u5927\u5e9c\u5065\u5eb7\u30bb\u30df\u30ca\u30fc\u30012014\/7\/12<\/li>\n<li>\u5e73\u5c71\u9ad8\u55e3\uff0c\u4eba\u9593\u306e\u5185\u90e8\u72b6\u614b\u3092\u9855\u5728\u5316\u3059\u308b\u8996\u899a\u7684\u30a4\u30f3\u30bf\u30e9\u30af\u30b7\u30e7\u30f3\u306e\u30c7\u30b6\u30a4\u30f3\u3068\u30de\u30a4\u30cb\u30f3\u30b0\uff0c\u7b2c10\u56de\u72ac\u5c71\u6bd4\u8f03\u793e\u4f1a\u8a8d\u77e5\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff08ICS^2-10\uff09\uff0c2015.2.<\/li>\n<li>Kenji Mase, &#8220;E-coaching: Wearable and Ubiquitous Sensing and Life-logging for Coaching &#8220;, JSPS UK\/Japan Symposium on Computer Graphics and Virtual Reality, University of Edinburg, 2014.11.10<\/li>\n<li>\u9593\u702c\u5065\u4e8c\u3001&#8221;\u5c0e\u96fb\u6027\u7e54\u7269\u306b\u3088\u308b\u5e03\u30bb\u30f3\u30b5\u3092\u7528\u3044\u305f\u65e5\u5e38\u30d8\u30eb\u30b9\u30b1\u30a2\u652f\u63f4\u30b7\u30b9\u30c6\u30e0&#8221;, \u65e5\u672c\u7e4a\u7dad\u6a5f\u68b0\u5b66\u4f1ae-\u30c6\u30ad\u30b9\u30bf\u30a4\u30eb\uff08\u7b2c\uff11\uff13\u56de\uff09\u7814\u7a76\u4f8b\u4f1a\u3001\u5927\u962a\u5e02\u30012014.12.1<\/li>\n<li>\u9593\u702c\u5065\u4e8c\u3001\u201d\u30a6\u30a8\u30a2\u30e9\u30d6\u30eb\u30fb\u30e6\u30d3\u30ad\u30bf\u30b9\u30c7\u30d0\u30a4\u30b9\u306b\u3088\u308b\u4f53\u9a13\u306e\u30bb\u30f3\u30b7\u30f3\u30b0\u30fb\u8a18\u9332\u30fb\u5171\u6709\u201d\u3001\u5317\u9678\u5148\u7aef\u5927\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u30bb\u30df\u30ca\u30fc\u3001IEEE\u540d\u53e4\u5c4b\u652f\u90e8\u8b1b\u6f14\u4f1a\u30012015.2.3<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\u8ad6\u6587 \u539f\u5065\u7fd4\uff0c\u5e73\u5c71\u9ad8\u55e3\uff0c\u9593\u702c\u5065\u4e8c\uff0c&#8221;\u591a\u8996\u70b9\u6620\u50cf\u306b\u304a\u3051\u308b\u30cf\u30d5\u5909\u63db\u306b\u57fa\u3065\u304f\u6295\u7968\u51e6\u7406\u3092\u7528\u3044\u305f\u4eba\u7269\u884c\u52d5\u8a8d\u8b58\u3068\u4f4d\u7f6e\u63a8\u5b9a\u306e\u540c\u6642\u51e6\u7406&#8221;\uff0c\u96fb\u6c17\u5b66\u4f1a\u8ad6\u6587\u8a8cC \u300c\u6a5f\u68b0\u5b66\u7fd2\u624b\u6cd5\u306b\u57fa\u3065\u304f\u8a2d\u5099\u8a3a\u65ad\u30fb\u76e3\u8996\u6280\u8853\u300d\u7279\u96c6\uff0cVol. [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":26,"menu_order":-2014,"comment_status":"open","ping_status":"open","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/www.cmc.is.i.nagoya-u.ac.jp\/index.php?rest_route=\/wp\/v2\/pages\/745"}],"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=745"}],"version-history":[{"count":11,"href":"https:\/\/www.cmc.is.i.nagoya-u.ac.jp\/index.php?rest_route=\/wp\/v2\/pages\/745\/revisions"}],"predecessor-version":[{"id":808,"href":"https:\/\/www.cmc.is.i.nagoya-u.ac.jp\/index.php?rest_route=\/wp\/v2\/pages\/745\/revisions\/808"}],"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=745"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}