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YANO Hajime
Research Center for Urban Safety and Security
Assistant Professor

Research activity information

■ Paper
  • Hajime Yano, Tetsuya Takiguchi, Seiji Nakagawa
    Assessing preferences for heating, ventilation, and air conditioning (HVAC) sounds is important for improving comfort in living spaces. Recently, preference assessments using neurophysiological measurements have gained attention. However, associations between HVAC sound preferences and cortical activity remain insufficiently understood to establish neurophysiological indices. In this study, we developed machine learning models that estimate preference scores from magnetoencephalographic (MEG) signals recorded during HVAC sound presentation. We also developed spatial filters based on the common spatial pattern to extract MEG signals associated with the preferences. Both were trained for each participant using MEG signal pairs and participant’s paired-comparison judgments of HVAC sounds based on either coolness or preference. The preference scores estimated from the training data were strongly correlated with the average preference scores obtained through a psychological paired-comparison method (r > 0.98). Analysis of trained linear models revealed that the spatial filters primarily contributing to score estimation extracted theta (4–8 Hz) and alpha (8–13 Hz) oscillations. These suggest that the signals extracted by the spatial filters may reflect cortical activity associated with the coolness and preference of HVAC sounds, and that the preference estimation models may capture the relationship between cortical activity and psychological scales of HVAC sound preferences.
    MDPI AG, Nov. 2025, Applied Sciences, 15(22) (22), 12009 - 12009, English
    [Refereed]
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • Takuma Bingo, Hajime Yano, Taichiro Ashizaki, Kazuma Koda, Masaya Togo, Riki Matsumoto, Tetsuya Takiguchi
    IEEE, Oct. 2025, 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 1688 - 1693, English
    [Refereed]
    International conference proceedings

  • Koki Nose, Hajime Yano, Tetsuya Takiguchi, Seiji Nakagawa
    IEEE, Oct. 2025, 2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 1435 - 1440, English
    [Refereed]
    International conference proceedings

  • Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa
    Aug. 2024, 32nd European Signal Processing Conference (EUSIPCO 2024), 1546 - 1550, English, International magazine
    [Refereed]
    International conference proceedings

  • Hajime Yano, Tetsuya Takiguchi, Seiji Nakagawa
    The impressions of heating, ventilation, and air conditioning (HVAC) sounds are important for the comfort people experience in their living spaces. Revealing neural substrates of the impressions induced by HVAC sounds can help to develop neurophysiological indices of the comfort of HVAC sounds. There have been numerous studies on the brain activities associated with the pleasantness of sounds, but few on the brain activities associated with the thermal impressions of HVAC sounds. Seven time-varying HVAC sounds were synthesized as stimuli using amplitude modulation. Six participants took part in subjective evaluation tests and MEG measurements. Subjective coolness of the HVAC sounds was measured using the paired comparison method. Magnetoencephalographic (MEG) measurements were carried out while participants listened to and compared the time-varying HVAC sounds. Time-frequency analysis and cluster-based analysis were performed on the MEG data. The subjective evaluation tests showed that the subjective coolness of the amplitude-modulated HVAC sounds was affected by the modulation frequency, and that there was individual difference in subjective coolness. A cluster-based analysis of the MEG data revealed that the brain activities of two participants significantly differed when they listened to cooler or less cool HVAC sounds. The frontal low-theta (4–5 Hz) and the temporal alpha (8–13 Hz) activities were observed. The frontal low-theta and the temporal alpha activities may be associated with the coolness of HVAC sound. This result suggests that the comfort level of HVAC sound can be evaluated and individually designed using neurophysiological measurements.
    Ovid Technologies (Wolters Kluwer Health), Jan. 2024, NeuroReport, 35(1) (1), 1 - 8, English, International magazine
    [Refereed]
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • Hajime Yano, Rio Yamana, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa
    Lead, IEEE, Nov. 2022, 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 1005 - 1008, English
    [Refereed]
    International conference proceedings

  • 山名 莉央, 矢野 肇, 高島 遼一, 滝口 哲也
    脳機能の局在性の解明や脳疾患の診断に応用するため，脳内の電流源の推定が行われてきた．しかし，時間分解能に優れた非侵襲な脳機能計測手法である脳磁図や脳波を用いた脳内の電流分布の推定は，電流源のパラメータ数に対して脳磁図・脳波のセンサの数が少ない劣決定問題であるため，本質的に困難である．電流源推定の代表的な手法では，明示的に電流源の事前分布を与えることでこの問題を解決しているが，実際の電流源の事前分布は不明である．近年，畳み込み構造を持つ深いニューラルネットワークが，未学習であっても自然な画像の事前分布の役割を果たすことが示されている．これはDeep Image Prior と呼ばれ，画像修復，超解像，ノイズ除去といった画像分野の逆問題に有効であることが示されている．また，このような未学習の深いネットワークによる事前分布（Deep Prior）は，様々な分野の逆問題にも応用されてきている．本研究では，Deep Prior を用いて電流源推定を行い，従来手法（MNE，sLORETA）と比較し有効性の検証を行った．このとき，シミュレーションデータと実際のデータを用いた．電流源の推定を行った結果，畳み込みのネットワークが電流源の事前分布を表現可能であることを示した．
    神戸大学都市安全研究センター, Mar. 2021, 神戸大学都市安全研究センター研究報告, 25, 113 - 118, Japanese
    Link to Kobe Univ. Repository (Kernel)

  • Takuya Okada, Daisuke Kato, Yuki Nomura, Norihiko Obata, Xiangyu Quan, Akihito Morinaga, Hajime Yano, Zhongtian Guo, Yuki Aoyama, Yoshihisa Tachibana, Andrew J. Moorhouse, Osamu Matoba, Tetsuya Takiguchi, Satoshi Mizobuchi, Hiroaki Wake
    Sustained neuropathic pain from injury or inflammation remains a major burden for society. Rodent pain models have informed some cellular mechanisms increasing neuronal excitability within the spinal cord and primary somatosensory cortex (S1), but how activity patterns within these circuits change during pain remains unclear. We have applied multiphoton in vivo imaging and holographic stimulation to examine single S1 neuron activity patterns and connectivity during sustained pain. Following pain induction, there is an increase in synchronized neuronal activity and connectivity within S1, indicating the formation of pain circuits. Artificially increasing neuronal activity and synchrony using DREADDs reduced pain thresholds. The expression of N-type voltage-dependent Ca2+ channel subunits in S1 was increased after pain induction, and locally blocking these channels reduced both the synchrony and allodynia associated with inflammatory pain. Targeting these S1 pain circuits, via inhibiting N-type Ca2+ channels or other approaches, may provide ways to reduce inflammatory pain.
    American Association for the Advancement of Science (AAAS), Mar. 2021, Science Advances, 7(12) (12), eabd8261, English
    [Refereed]
    Scientific journal
    Link to Kobe Univ. Repository (Kernel)

  • Hajime Yano, Yoshiharu Soeta
    Objective Birdsong sounds are often used to inform visually-challenged people about the presence of basic infrastructures, and therefore need to be salient in noisy urban environments. How salient sounds are processed in the brain could inform us about the optimal birdsong in such environments. However, brain activity related to birdsong salience is not yet known. Methods Oscillatory magnetoencephalographic (MEG) activities and subjective salience induced by six birdsongs under three background noise conditions were measured. Thirteen participants completed the MEG measurements and 11 participants took part in the paired-comparison tests. We estimated the power of induced oscillatory activities, and explored the relationship between subjective salience of birdsongs and the power of induced activities using sparse regression analysis. Results According to sparse regression analysis, the subjective salience was explained by the power of induced alpha (8–13 Hz) in the frontal region, induced beta (13–30 Hz) in the occipital region, and induced gamma (30–50 Hz) in the parietal region. The power of the frontal alpha and parietal gamma activities significantly varied across both birds and noise conditions. Conclusion These results indicate that frontal alpha activity is related to the salience of birdsong and that parietal gamma activity is related to differences in salience across noisy environments. These results suggest that salient birdsong under a noisy environment activates the bottom-up attention network.
    Lead, Ovid Technologies (Wolters Kluwer Health), Jan. 2021, NeuroReport, 32(2) (2), 82 - 87, English
    [Refereed]
    Scientific journal

  • Hajime Yano, Tetsuya Takiguchi, Seiji Nakagawa
    IEEE, Jul. 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 5168 - 5171, English
    [Refereed]
    International conference proceedings

  • Naoki Saga, Hajime Yano, Tetsuya Takiguchi, Yoshiharu Soeta, Seiji Nakagawa
    IEEE, Jul. 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 1066 - 1069, English
    [Refereed]
    International conference proceedings

  • Yuki Takashima, Hajime Yano, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki
    IEEE, Apr. 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 5294 - 5298, English
    [Refereed]
    International conference proceedings

■ MISC
  • Spiking Neural Networkを用いた構音障害者音声認識の検討
    矢野 肇, 滝口 哲也
    Lead, 日本音響学会, 25 Aug. 2026, 日本音響学会 第156回(2026年秋季)研究発表会講演論文集, 1695 - 1698, Japanese
    Summary national conference

  • 感情音声が音声想起時の脳波に与える影響の解析
    矢野 肇, 滝口 哲也, 中川 誠司
    Lead, 日本音響学会, 25 Aug. 2026, 日本音響学会 第156回(2026年秋季)研究発表会講演論文集, 1123 - 1126, Japanese
    Summary national conference

  • 感情音声想起分類のための脳波データ拡張手法の検討
    能勢 幸樹, 矢野 肇, 滝口 哲也, 中川 誠司
    日本音響学会, 25 Aug. 2026, 日本音響学会 第156回(2026年秋季)研究発表会講演論文集, 517 - 520, Japanese
    Summary national conference

  • 想起音声分類のための脳磁図データ拡張の比較
    能勢 幸樹, 矢野 肇, 滝口 哲也, 中川 誠司
    日本生体磁気学会, Jun. 2026, 日本生体磁気学会誌 特別号（第41回日本生体磁気学会大会論文集）, 39(1) (1), 132 - 133, Japanese
    Summary national conference

  • 想起音声分類のための脳磁図データの外れ値除去手法の改良
    能勢幸樹, 矢野肇, 滝口哲也, 中川誠司
    Mar. 2026, 日本音響学会 第155回(2026年春季)研究発表会講演論文集, 333 - 336, Japanese
    Summary national conference

  • MEG Data Augmentation Based on Neural Source Trajectory Modulation for Imagined Speech Classification
    Koki Nose, Hajime Yano, Tetsuya Takiguchi, Seiji Nakagawa
    18 Sep. 2025, 計測自動制御学会 ライフエンジニアリング部門シンポジウム 2025（LE2025）論文集, 25 - 28, English
    Summary national conference

  • Visualizing reasoning behind critical care EEG classification using ProtoPNet
    Takuma Bingo, Hajime Yano, Taichiro Ashizaki, Kazuma Koda, Masaya Togo, Riki Matsumoto, Tetsuya Takiguchi
    Sep. 2025, FIT2025 第24回情報技術科学フォーラム講演論文集 第2分冊, 557 - 562, Japanese
    Summary national conference

  • 脳内想起音声の分類のための t-SNEを用いた脳磁図データの外れ値除去
    能勢 幸樹, 矢野 肇, 滝口 哲也, 中川 誠司
    27 Aug. 2025, 日本音響学会 第154回(2025年秋季)研究発表会講演論文集, 423 - 426, Japanese
    Summary national conference

  • Data augmentation based on source estimation for imagined speech classification
    Koki Nose, Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa
    一般社団法人 日本音響学会, 03 Mar. 2025, 日本音響学会 第153回(2025年春季)研究発表会講演論文集, 357 - 360, Japanese, Domestic magazine
    Summary national conference

  • A domain generalization method for classification of intensive care EEG using deep learning
    Takuma Bingo, Hajime Yano, Taichiro Ashizaki, Kazuma Koda, Masaya Togo, Riki Matsumoto, Ryoichi Takashima, Tetsuya Takiguchi
    一般社団法人情報処理学会, 27 Feb. 2025, 情報処理学会 第87回全国大会講演論文集, 2025, 2-715 - 2-716, Japanese, Domestic magazine
    Summary national conference

  • A dynamic data augmentation method using diffusion models for classification of intensive care EEG
    Takuma Bingo, Hajime Yano, Taichiro Ashizaki, Kazuma Koda, Masaya Togo, Riki Matsumoto, Ryoichi Takashima, Tetsuya Takiguchi
    The Institute of Electronics, Information and Communication Engineers, 23 Feb. 2025, IEICE Technical Report, 124(390) (390), 453 - 458, Japanese, Domestic magazine
    Technical report

  • Data augmentation for imagined speech classification
    矢野 肇, 高島 遼一, 滝口 哲也, 中川 誠司
    Lead, 21 Aug. 2024, 日本音響学会 第152回(2024年秋季)研究発表会講演論文集, 915 - 918, Japanese
    Summary national conference

  • Simultaneous estimation of a lead field and current sources of EEG using Deep Prior with lightweight convolutional networks structures
    Naoki Hojo, Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa
    Jun. 2024, 日本生体磁気学会誌 特別号（第39回日本生体磁気学会大会論文集）, 37(1) (1), 120 - 121, Japanese, Domestic magazine
    Summary national conference

  • 想起音声識別のための変分自己符号化器に基づく表現学習
    矢野 肇, 高島 遼一, 滝口 哲也, 中川 誠司
    Lead, Mar. 2024, 日本音響学会2024年春季研究発表会講演論文集, 645 - 648, Japanese
    Summary national conference

  • Naoki Hojo, Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa
    IEEE, 04 Jun. 2023, 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), English
    [Refereed]
    Summary international conference

  • Sound classification of brain magnetic fields using EEGNet
    山名 莉央, 北条 直樹, 矢野 肇, 滝口 哲也, 高島 遼一, 中川 誠司
    Mar. 2023, 日本音響学会2023年春季研究発表会講演論文集, 517 - 520, Japanese
    Summary national conference

  • Multiple source localization in the brain using Deep Prior with self exact localization loss
    矢野 肇, 高島 遼一, 滝口 哲也, 中川 誠司
    Lead, Mar. 2023, 日本音響学会2023年春季研究発表会講演論文集, 509 - 512, Japanese
    Summary national conference

  • Simultaneous estimation of forward model and current source from EEG using Deep Prior
    北条 直樹, 矢野 肇, 高島 遼一, 滝口 哲也, 中川 誠司
    Mar. 2023, 日本音響学会2023年春季研究発表会講演論文集, 505 - 508, Japanese
    Summary national conference

  • EEG Current Source Localization Using Deep Prior
    Naoki Hojo, Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa
    Feb. 2023, Proceedings of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing 2023 (NCSP'23), 502 - 505, English
    [Refereed]
    Summary international conference

  • MEG source localization using Deep Prior with self exact localization loss
    矢野 肇, 高島 遼一, 滝口 哲也, 中川 誠司
    Lead, Sep. 2022, 日本音響学会2022年秋季研究発表会講演論文集, 955 - 958, Japanese
    Summary national conference

  • Rio Yamana, Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa
    IEEE, 07 Mar. 2022, 2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech), 590 - 591, English
    [Refereed]
    Summary international conference

  • Current source estimation using Deep Prior with depth weighting
    山名 莉央, 矢野 肇, 高島 遼一, 滝口 哲也, 中川 誠司
    Mar. 2022, 日本音響学会2022年春季研究発表会講演論文集, 711 - 714, Japanese
    Summary national conference

  • Current source estimation of auditory evoked response using deep decoder
    Rio Yamana, Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa
    Sep. 2021, 日本音響学会2021年秋季研究発表会講演論文集, 715 - 718, Japanese
    Summary national conference

  • Current source estimation of auditory evoked response using deep prior
    Rio Yamana, Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa
    Mar. 2021, 日本音響学会2021年春季研究発表会講演論文集, 679 - 682, Japanese
    Summary national conference

  • Low-rank representation of whole-head functional connectivity for prediction of subjective impressions
    Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa
    Lead, Mar. 2020, 日本音響学会2020年春季研究発表会講演論文集, 431 - 434, Japanese
    Summary national conference

  • Extraction of cortical activities associated with auditory impressions using spatial filter
    Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Masaru Kamiya, Seiji Nakagawa
    Lead, Sep. 2019, 日本音響学会2019年秋季研究発表会講演論文集, 729 - 732, Japanese
    Summary national conference

  • Spatiotemporal characteristics of magnetic fields associated with articulation of speech perception
    Naoki Saga, Hajime Yano, Tetsuya Takiguchi, Yoshiharu Soeta, Seiji Nakagawa
    Mar. 2019, 日本音響学会2019年春季研究発表会講演論文集, 549 - 552, Japanese
    Summary national conference

  • Learning of the predictive model for evaluation of auditory impressions using weighed paired comparative judgment
    Hajime Yano, Tetsuya Takiguchi, Masaru Kamiya, Seiji Nakagawa
    Lead, Mar. 2019, 日本音響学会2019年春季研究発表会講演論文集, 2019, 499 - 502, Japanese
    Summary national conference

  • Brain magnetic fields associated with articulation of speech perception: Analysis of activities in the auditory cortex and Wernicke’s area
    Naoki Saga, Hajime Yano, Tetsuya Takiguchi, Yoshiharu Soeta, Seiji Nakagawa
    Sep. 2018, 日本音響学会2018年秋季研究発表会講演論文集, 485 - 488, Japanese
    Summary national conference

  • Brain cortical feature extraction using Multilinear Discriminant Analysis for estimating subjective auditory impressions
    Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Masaru Kamiya, Seiji Nakagawa
    Lead, Sep. 2018, 日本音響学会2018年秋季研究発表会講演論文集, 381 - 384, Japanese
    Summary national conference

  • Parallel-Data-Free Dictionary Learning for Voice Conversion Using Non-negative Tucker Decomposition
    Yuki Takashima, Hajime Yano, Toru Nakashika, Tetsuya Takiguchi, Yasuo Ariki
    Mar. 2018, 日本音響学会2018年春季研究発表会講演論文集, 211 - 214, Japanese
    Summary national conference

  • Brain cortical feature extraction based on coherence analysis for estimating subjective impressions induced by HVAC sound
    Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki, Masaru Kamiya, Seiji Nakagawa
    Lead, Mar. 2018, 日本音響学会2018年春季研究発表会講演論文集, 755 - 758, Japanese
    Summary national conference

  • Spatiotemporal characteristics of cortical activities associated with articulation of speech perception
    Naoki Saga, Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki, Yoshiharu Soeta, Seiji Nakagawa
    Mar. 2018, 日本音響学会2018年春季研究発表会講演論文集, 1329 - 1332, Japanese
    Summary national conference

  • Measurements of brain evoked fields associated with articulation - Source analysis in the language-associated cortical areas
    Naoki Saga, Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki, Yoshiharu Soeta, Seiji Nakagawa
    Sep. 2017, 日本音響学会2017年秋季研究発表会講演論文集, 683 - 686, Japanese
    Summary national conference

  • Extraction of brain cortical feature considering comparative judgment for estimation of subjective auditory impressions induced by HVAC sound
    Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki, Masaru Kamiya, Seiji Nakagawa
    Lead, Sep. 2017, 日本音響学会2017年秋季研究発表会講演論文集, 573 - 576, Japanese
    Summary national conference

  • Extraction of brain activities related to impressions induced by HVAC sound using discriminant non-negative tensor factorization
    Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki, Masaru Kamiya, Seiji Nakagawa
    Lead, Aug. 2017, 電子情報通信学会技術研究報告, 117(189(SP2017 20-33)) (189(SP2017 20-33)), 61 - 66
    Technical report

  • Learning of the predictive model for evaluation of auditory impressions induced by the HVAC sound using a paired-comparative judgment
    Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki, Kamiya Masaru, Seiji Nakagawa
    Lead, Mar. 2017, 日本音響学会2017年春季研究発表会講演論文集, 539 - 542, Japanese
    Summary national conference

  • Estimation of cortical activities associated with articulation by measurements of brain evoked fields
    Naoki Saga, Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki, Yoshiharu Soeta, Seiji Nakagawa
    Mar. 2017, 日本音響学会2017年春季研究発表会講演論文集, 1515 - 1518, Japanese
    Summary national conference

  • Estimation of auditory impressions induced by HVAC sound using Non-negative Tensor Decomposition
    Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki, Masaru Kamiya, Seiji Nakagawa
    Lead, Sep. 2016, 日本音響学会2016年秋季研究発表会講演論文集, 673 - 676, Japanese
    Summary national conference

  • Extraction of brain activity related to auditory impressions induced by HVAC sound using non-negative tensor decomposition
    Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki, Takuya Hotehama, Masaru Kamiya, Seiji Nakagawa
    Lead, 電子情報通信学会, 24 Aug. 2016, 電子情報通信学会技術研究報告, 116(189) (189), 37 - 40, Japanese
    Technical report

  • Search of cortical region related to auditory impression of HVAC sound
    Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki, Takuya Hotehama, Masaru Kamiya, Seiji Nakagawa
    Lead, Mar. 2016, 日本音響学会2016年春季研究発表会講演論文集, 511 - 514, Japanese
    Summary national conference

  • Estimation of auditory impression associated with HVAC sound using magnetoencephalography
    Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki, Takuya Hotehama, Masaru Kamiya, Seiji Nakagawa
    Lead, Sep. 2015, 日本音響学会2015年秋季研究発表会講演論文集, 485 - 488, Japanese
    Summary national conference

  • Effects of fluctuated air-conditioner sound on brain cortical activity
    Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki, Masaru Kamiya, Takuya Hotehama, Seiji Nakagawa
    Lead, Mar. 2015, 日本音響学会2015年春季研究発表会講演論文集, 503 - 504, Japanese
    Summary national conference

■ Lectures, oral presentations, etc.
  • Simultaneous estimation of a lead field and current sources of EEG using Deep Prior
    Naoki Hojo, Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa
    ISACM and JBBS 2023 OSAKA, May 2023, English, Osaka, Japan, International conference
    Poster presentation

  • エアコン音の印象に関連する脳磁図の空間的特徴の探索
    矢野肇, 滝口哲也, 中川誠司
    日本生体医工学会専門別研究会 第35回実社会におけるマルチモーダル脳情報応用技術研究会, Jan. 2023, Japanese
    Oral presentation

  • Unsupervised MEG Source Localization Using Graph Convolutional Networks
    Hajime Yano, Rio Yamana, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa
    First International Conference on Sensing and Imaging through Scattering and Fluctuating Field in Biology, Telecommunication, and Astronomy (SI-Thru), Apr. 2022, English, International conference
    Poster presentation

  • Prediction of subjective preference from MEG data
    矢野 肇, 滝口 哲也, 高島 遼一, 中川 誠司
    International Joint Meeting 2020 in Kansai 第23回日本薬物脳波学会・第37回日本脳電磁図トポグラフィ研究会

  • 音の評価のための心理・神経生理計測法
    矢野 肇
    音学シンポジウム2019（第123回音楽情報科学研究会・第127回音声言語情報処理研究会共催研究会）, Jun. 2019, Japanese
    [Invited]
    Invited oral presentation

  • Evaluation of auditory impressions of HVAC sound based on time-frequency representation of magnetic cortical activity
    Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki, Takuya Hotehama, Masaru Kamiya, Seiji Nakagawa
    The 20th International Conference on Biomagnetism (BIOMAG2016), Oct. 2016, English, Seoul, Korea, Republic of, International conference
    Poster presentation

■ Affiliated Academic Society
  • Acoustical Society of Japan
    Mar. 2015 - Present

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