{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00046485","sets":["1164:4061:4076:4078"]},"path":["4078"],"owner":"1","recid":"46485","title":["Physiological signal sensing on acupoints for emotion recognition"],"pubdate":{"attribute_name":"公開日","attribute_value":"2005-06-09"},"_buckets":{"deposit":"fd7f159d-3073-4cb8-9f4d-9cad16628f19"},"_deposit":{"id":"46485","pid":{"type":"depid","value":"46485","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"Physiological signal sensing on acupoints for emotion recognition","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Physiological signal sensing on acupoints for emotion recognition"},{"subitem_title":"Physiological signal sensing on acupoints for emotion recognition","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2005-06-09","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"GIST U-VR Lab."},{"subitem_text_value":"GIST U-VR Lab."}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"GIST U-VR Lab.","subitem_text_language":"en"},{"subitem_text_value":"GIST U-VR Lab.","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/46485/files/IPSJ-UBI05008042.pdf"},"date":[{"dateType":"Available","dateValue":"2007-06-09"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-UBI05008042.pdf","filesize":[{"value":"485.6 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"36"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"4977424f-23c3-4a26-bbb8-1f63a6304555","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2005 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ahyoung, Choi"},{"creatorName":"Woontack, Woo"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ahyoung, Choi","creatorNameLang":"en"},{"creatorName":"Woontack, Woo","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11838947","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"Emotion recognition is one of the emerging technologies to support user adaptive services in the fields of context awareness. Previous work however have mainly focused on pattern classification rather than a sensing technology or a feature extraction method. In this paper we describe a method of position based physiological sensing for analyzing a person`s emotion based on an oriental medical approach. The proposed method uses two electrodes to sense the skin response at an acupoint a specific body point used for treating a disease and a diagnosis in an oriental medicine. The sensing points are determined by the correlation coefficient between measurements and the expectation of acupoint in a forearm. In the evaluation of the proposed positions we prove the tendency that the differences of minimum value and maximum value increase after stimuli in the proposed points. This work can be applied not only to emotion recognition system but also to attention and intention recognition system.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Emotion recognition is one of the emerging technologies to support user adaptive services in the fields of context awareness. Previous work,however,have mainly focused on pattern classification rather than a sensing technology or a feature extraction method. In this paper,we describe a method of position based physiological sensing for analyzing a person`s emotion based on an oriental medical approach. The proposed method uses two electrodes to sense the skin response at an acupoint,a specific body point used for treating a disease and a diagnosis in an oriental medicine. The sensing points are determined by the correlation coefficient between measurements and the expectation of acupoint in a forearm. In the evaluation of the proposed positions,we prove the tendency that the differences of minimum value and maximum value increase after stimuli in the proposed points. This work can be applied not only to emotion recognition system but also to attention and intention recognition system.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"236","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告ユビキタスコンピューティングシステム（UBI）"}],"bibliographicPageStart":"231","bibliographicIssueDates":{"bibliographicIssueDate":"2005-06-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"60(2005-UBI-008)","bibliographicVolumeNumber":"2005"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"updated":"2025-01-22T09:26:43.621545+00:00","created":"2025-01-18T23:12:11.125011+00:00","links":{},"id":46485}