{"created":"2023-05-15T11:59:53.145898+00:00","id":6503,"links":{},"metadata":{"_buckets":{"deposit":"5ff2d9fd-6319-4cea-a015-b90b2d571ac9"},"_deposit":{"created_by":3,"id":"6503","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"6503"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00006503","sets":["8:24"]},"author_link":["27424","27421","27423","27420","27425"],"item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2019-11-19","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"22","bibliographicPageEnd":"5043-26","bibliographicPageStart":"5043-1","bibliographicVolumeNumber":"19","bibliographic_titles":[{"bibliographic_title":"Sensors"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In this paper, we address Zero-shot learning for sensor activity recognition using word embeddings. The goal of Zero-shot learning is to estimate an unknown activity class (i.e., an activity that does not exist in a given training dataset) by learning to recognize components of activities expressed in semantic vectors. The existing zero-shot methods use mainly 2 kinds of representation as semantic vectors, attribute vector and embedding word vector. However, few zero-shot activity recognition methods based on embedding vector have been studied; especially for sensor-based activity recognition, no such studies exist, to the best of our knowledge. In this paper, we compare and thoroughly evaluate the Zero-shot method with different semantic vectors: (1) attribute vector, (2) embedding vector, and (3) expanded embedding vector and analyze their correlation to performance. Our results indicate that the performance of the three spaces is similar but the use of word embedding leads to a more efficient method, since this type of semantic vector can be generated automatically. Moreover, our suggested method achieved higher accuracy than attribute-vector methods, in cases when there exist similar information in both the given sensor data and in the semantic vector; the results of this study help select suitable classes and sensor data to build a training dataset.","subitem_description_type":"Abstract"}]},"item_21_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal Article","subitem_description_type":"Other"}]},"item_21_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"27423","nameIdentifierScheme":"WEKO"}],"names":[{"name":"松木,  萌"}]},{"nameIdentifiers":[{"nameIdentifier":"27424","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Lago,  Paula"}]},{"affiliations":[{"affiliationNames":[{"affiliationName":"","lang":"ja"}],"nameIdentifiers":[]}],"familyNames":[{"familyName":"Inoue","familyNameLang":"en"},{"familyName":"井上","familyNameLang":"ja"},{"familyName":"イノウエ","familyNameLang":"ja-Kana"}],"givenNames":[{"givenName":"Sozo","givenNameLang":"en"},{"givenName":"創造","givenNameLang":"ja"},{"givenName":"ソウゾウ","givenNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"27425","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"90346825","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/nrid/1000090346825"},{"nameIdentifier":"9335840200","nameIdentifierScheme":"Scopus著者ID","nameIdentifierURI":"https://www.scopus.com/authid/detail.uri?authorId=9335840200"},{"nameIdentifier":"140","nameIdentifierScheme":"九工大研究者情報","nameIdentifierURI":"https://hyokadb02.jimu.kyutech.ac.jp/html/140_ja.html"}],"names":[{"name":"Inoue, Sozo","nameLang":"en"},{"name":"井上, 創造","nameLang":"ja"},{"name":"イノウエ, ソウゾウ","nameLang":"ja-Kana"}]}]},"item_21_link_62":{"attribute_name":"研究者情報","attribute_value_mlt":[{"subitem_link_url":"https://hyokadb02.jimu.kyutech.ac.jp/html/140_ja.html"}]},"item_21_publisher_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"MDPI"}]},"item_21_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"info:doi/10.3390/s19225043","subitem_relation_type_select":"DOI"}}]},"item_21_relation_14":{"attribute_name":"情報源","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"https://doi.org/10.3390/s19225043"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.3390/s19225043","subitem_relation_type_select":"DOI"}}]},"item_21_rights_13":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2019 by the authors. Licensee MDPI, Basel, Switzerland."},{"subitem_rights":"Creative Commons Attribution (CC BY) license"},{"subitem_rights":"http://creativecommons.org/licenses/by/4.0/"}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1424-8220","subitem_source_identifier_type":"ISSN"}]},"item_21_text_28":{"attribute_name":"論文ID（連携）","attribute_value_mlt":[{"subitem_text_value":"10352510"}]},"item_21_text_36":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Department of Applied Science for Integrated System Engineering Kyushu Institute of Technology, Kitakyushu 804-8550, Japan"},{"subitem_text_value":"Department of Basic Sciences Kyushu Institute of Technology, Kitakyushu 804-8550, Japan"},{"subitem_text_value":"Department of Human Intelligence Systems Kyushu Institute of Technology, Hibikino 808-0196, Japan"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"8218"}]},"item_21_version_type_58":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Matsuki,  Moe"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Lago,  Paula"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[],"affiliationNames":[{"affiliationName":""}]}],"creatorNames":[{"creatorName":"Inoue, Sozo","creatorNameLang":"en"},{"creatorName":"井上, 創造","creatorNameLang":"ja"},{"creatorName":"イノウエ, ソウゾウ","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-04-21"}],"displaytype":"detail","filename":"sensors-19-05043.pdf","filesize":[{"value":"1.5 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"sensors-19-05043.pdf","url":"https://kyutech.repo.nii.ac.jp/record/6503/files/sensors-19-05043.pdf"},"version_id":"c3d47616-e58a-460d-9f6d-1a2650308f6d"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"human activity recognition","subitem_subject_scheme":"Other"},{"subitem_subject":"Zero-shot machine learning","subitem_subject_scheme":"Other"},{"subitem_subject":"word embedding representation","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Characterizing Word Embeddings for Zero-Shot Sensor-Based Human Activity Recognition","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Characterizing Word Embeddings for Zero-Shot Sensor-Based Human Activity Recognition"}]},"item_type_id":"21","owner":"3","path":["24"],"pubdate":{"attribute_name":"公開日","attribute_value":"2020-04-21"},"publish_date":"2020-04-21","publish_status":"0","recid":"6503","relation_version_is_last":true,"title":["Characterizing Word Embeddings for Zero-Shot Sensor-Based Human Activity Recognition"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-10-25T10:14:06.654304+00:00"}