{"_buckets": {"deposit": "c249c47d-9155-4ea3-8728-22ed55c4b639"}, "_deposit": {"id": "18760", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "18760"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00018760"}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2012-11", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "166", "bibliographicPageStart": "163", "bibliographic_titles": [{"bibliographic_title": "2012 Joint 6th International Conference on Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS)"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "Brain-Computer Interfaces (BCIs) control a computer or a machine based on the information of the signal of human\u0027s brain, and P300 speller is one of the BCI communication tools, which uses P300 as the feature quantity and allows users to select letters just by thinking. Because of the low signal-to-noise ratio of the P300, signal averaging is often performed to improve the spelling accuracy instead of the degradation of the spelling speed. In texts, there is some variability in the transition probabilities between letters. This paper proposes P300 speller considering the frequencies and the transition probabilities as the priori probabilities. It shows that the spelling speed is improved by the proposed method comparing with the conventional method.", "subitem_description_type": "Abstract"}]}, "item_10_description_5": {"attribute_name": "\u5185\u5bb9\u8a18\u8ff0", "attribute_value_mlt": [{"subitem_description": "2012 Joint 6th International Conference on Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS) (SCIS-ISIS 2012). November 20-24, 2012, Kobe, Japan", "subitem_description_type": "Other"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "DOI", "subitem_identifier_uri": "http://dx.doi.org/10.1109/SCIS-ISIS.2012.6505350"}, {"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/20856"}]}, "item_10_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "IEEE"}]}, "item_10_relation_8": {"attribute_name": "ISBN", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "978-1-4673-2742-8", "subitem_relation_type_select": "ISBN"}}]}, "item_10_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "\u00a9 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works."}]}, "item_10_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "author"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Samizo, Eri"}], "nameIdentifiers": [{"nameIdentifier": "54726", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Yoshikawa, Tomohiro"}], "nameIdentifiers": [{"nameIdentifier": "54727", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Furuhashi, Takeshi"}], "nameIdentifiers": [{"nameIdentifier": "54728", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-21"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "47-Improvement_of_spelling_speed_in_P300_speller.pdf", "filesize": [{"value": "496.4 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 496400.0, "url": {"label": "47-Improvement_of_spelling_speed_in_P300_speller.pdf", "url": "https://nagoya.repo.nii.ac.jp/record/18760/files/47-Improvement_of_spelling_speed_in_P300_speller.pdf"}, "version_id": "cda018a8-e7f7-4dc5-8edd-912a73e6c29e"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Improvement of spelling speed in P300 speller using transition probability of letters", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Improvement of spelling speed in P300 speller using transition probability of letters"}]}, "item_type_id": "10", "owner": "1", "path": ["320/502/503"], "permalink_uri": "http://hdl.handle.net/2237/20856", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2014-11-21"}, "publish_date": "2014-11-21", "publish_status": "0", "recid": "18760", "relation": {}, "relation_version_is_last": true, "title": ["Improvement of spelling speed in P300 speller using transition probability of letters"], "weko_shared_id": null}