@article{oai:ipsj.ixsq.nii.ac.jp:00220206,
 author = {能登, 楓 and 竹川, 佳成 and 平田, 圭二 and Kaede, Noto and Yoshinari, Takegawa and Keiji, Hirata},
 issue = {9},
 journal = {情報処理学会論文誌},
 month = {Sep},
 note = {我々の研究グループは，MIDIのノートナンバや発音タイミングといった打鍵情報に加え，視線情報を活用した演奏位置の推定技術を開発してきた．しかし，こうした複数の情報に基づくコストをそれぞれ算出したのちに，掛け合わせるという統合方法によって引き起こされる誤推定が課題として残っていた．そこで本研究では，視線情報および打鍵情報の統合方法を考慮した楽譜追跡手法を提案する．提案手法の有効性を検証するための評価実験を実施した．比較手法の平均楽譜追跡正答率である76%と比べ，提案手法の平均楽譜追跡の正解率は95%となり提案手法の有効性を確認できた．, Our research group has developed a technique for estimating the position of a performance that utilises not only keystroke information such as MIDI note number and pronunciation timing, but also gaze information. However, the integration method of calculating the costs based on these multiple pieces of information and then multiplying them together has left a problem of false estimation caused by the integration method. Therefore, this study proposes a score-following method considering the integration method of gaze and keystroke information. Evaluation experiments were conducted to verify the effectiveness of the proposed method. The average score following accuracy of the proposed method was 95%, while the average score following accuracy of the comparison method was 76%, confirming the usefulness of the proposed method.},
 pages = {1518--1522},
 title = {視線情報の特性を考慮した情報統合による楽譜追跡手法},
 volume = {63},
 year = {2022}
}