{"created":"2023-05-15T08:43:34.959917+00:00","id":8600,"links":{},"metadata":{"_buckets":{"deposit":"638c71e7-7270-4913-a442-de95f2815e95"},"_deposit":{"created_by":13,"id":"8600","owners":[13],"pid":{"revision_id":0,"type":"depid","value":"8600"},"status":"published"},"_oai":{"id":"oai:uec.repo.nii.ac.jp:00008600","sets":["34:173"]},"author_link":["23428"],"control_number":"8600","item_10006_alternative_title_1":{"attribute_name":"その他（別言語等）のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"ドップラーセンサーを用いたアイブリンクの非接側定","subitem_alternative_title_language":"ja"}]},"item_10006_date_granted_11":{"attribute_name":"学位授与年月日","attribute_value_mlt":[{"subitem_dategranted":"2017-03-24"}]},"item_10006_degree_grantor_9":{"attribute_name":"学位授与機関","attribute_value_mlt":[{"subitem_degreegrantor":[{"subitem_degreegrantor_name":"電気通信大学"}]}]},"item_10006_degree_name_8":{"attribute_name":"学位名","attribute_value_mlt":[{"subitem_degreename":"修士"}]},"item_10006_description_10":{"attribute_name":"学位授与年度","attribute_value_mlt":[{"subitem_description":"2016","subitem_description_type":"Other"}]},"item_10006_description_7":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Many phenomena in the nature exhibit anomalously large temporal fluctuations exceeding what cannot be explained as a consequence of statistically independent random events. Eyeblink is one of the natural parts of human activities which can be used in diverse applications such as Cognitive fields, Human Computer Interfaces etc. For instance, there is a large and growing body of evidence that sequences of psychophysical data fluctuate as 1/f noises and many researchers are trying to find what these fluctuations are suggesting us. Considering the fact that eyeblink has been proposed as a marvelous way for detecting driver's and pilot's drowsiness, the importance for eyeblink detection is increasing. There are several ways for eyeblink detection such as the EOG method, Infrared sensors, Cameras, and Doppler sensors. Recently, several types of glasses have been produced, for instance 'Google glass', which is able to detect eyeblink using embedded sensors such as infrared sensors. The objective of this thesis is to develop a glass which can be used to measure human eyeblink through embedding a Doppler sensor inside it, considering to the fact that Doppler sensors have a number of advantages, for instance, long distance detection that is a problem in other methods. This glass can be used during driving and flying in order to detect drowsiness and therefore prevent accidents caused by human errors. Furthermore, it can be deployed for measuring several psychological factors during performing tasks in clinical setups. We designed an experimental setup in which measurement of the eyeblink was conducted using a Doppler sensor accompanied by an accelerometer for body movement measurements and also an EOG (Electrooculography) recording for verifying detected eyeblink signal by Doppler sensor. From our experimental results, we found that the Doppler frequency related to eyeblink contains a dominant frequency near 2 Hz. Finally, we found that when blinking is accompanied with head and body movements, eyeblink signal is separable by deploying the Principal Component Analysis.\n　自然界にはさまざまなゆらぎ現象が確認されるが、それらが統計的に完全に独立で不規則な過程を示すことは稀である。瞬目はヒトにとって極めて自然な運動の一つであり、認知科学,ヒューマンコンピュータインタフェース等に応用が期待されている。例えば認知科学の分野では，ヒトの数々の精神的かつ身体的な運動が1/fゆらぎの特性を示し得ることが確認され、多くの研究者がゆらぎ特性の意味することを見つけようと試みている。瞬目は車両および航空機運転者の眠気の探知に有効である為，瞬目の計測の重要性は高い。従来，瞬目の計測にはEOG、赤外線センサ、カメラおよびドップラーセンサなどが 用いられてきた。近年では、グーグルグラスのよう、赤外線センサなどの搭載されたセンサにより瞬目を計測可能な眼鏡型デバイスがいくつか提案されている。ドップラーセンサは、他の手法では問題となる長距離での検出などいくつかの長所がある。故に、本研究ではドップラーセンサを搭載することによりヒトの瞬目を計測可能な眼鏡型デバイスの開発を目的とする。\n　眼鏡型デバイスは運転中に装着可能である事から、運転者の眠気検出が可能であり、ヒューマンエラーの抑制に寄与できるものと考えられる。実験はドップラーセンサーにより瞬目を計測すると共に、身体の動きを計測するための加速度センサ、および瞬目信号が正当であることを確認するためのEOGを用いて行う。実験結果より、瞬目に関するドップラー周波数は2Hz近辺に高い周波数を含むことが確認された。さらに、観測されるデータに頭や体の動きが含まれてしまう場合、PCAを用いてそれらから瞬目信号を分離可能であることを確認できた。","subitem_description_type":"Abstract"}]},"item_10006_text_22":{"attribute_name":"専攻","attribute_value_mlt":[{"subitem_text_value":"情報理工学研究科"},{"subitem_text_value":"知能機械工学専攻"}]},"item_10006_version_type_18":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Maleki, Amir","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-03-01"}],"displaytype":"detail","filename":"1532072.pdf","filesize":[{"value":"2.6 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"1532072","url":"https://uec.repo.nii.ac.jp/record/8600/files/1532072.pdf"},"version_id":"b53d17fc-388b-4a69-97bb-87ab67433385"}]},"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":"thesis","resourceuri":"http://purl.org/coar/resource_type/c_46ec"}]},"item_title":"Non‐contact measurement of eyeblink by using Doppler sensor","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Non‐contact measurement of eyeblink by using Doppler sensor","subitem_title_language":"en"}]},"item_type_id":"10006","owner":"13","path":["173"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2017-02-28"},"publish_date":"2017-02-28","publish_status":"0","recid":"8600","relation_version_is_last":true,"title":["Non‐contact measurement of eyeblink by using Doppler sensor"],"weko_creator_id":"13","weko_shared_id":-1},"updated":"2023-09-12T07:33:43.232993+00:00"}