研究者詳細 - 河野　英昭

論文 - 河野　英昭

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GAN を用いた擬似データ生成による血中薬物濃度推定

平湯和也, 河野英昭, 折居英章, 辻康弘

バイオメディカル・ファジィ・システム学会大会講演論文集 ( バイオメディカル・ファジィ・システム学会 ) 31 ( 0 ) 49 - 52 2018年01月

担当区分：責任著者記述言語：日本語掲載種別：研究論文（大学，研究機関等紀要）

<p><i>Medical treatment cannot avoid the risk like side effects. In general, appropriate dosages and dosing intervals will vary among patients. The most important consideration in administration design is blood drug concentration of the patient, and it is necessary to estimate the concentration beforehand for the administration plan. However, since it is difficult to estimate personal blood drug concentration of patient, it is extremely difficult to precisely decide administration design. Additionally, observed data in pharmacy is value and few. In this study, we construct a Generative Adversarial Network model to generate similar data accurately. The proposed method can help training of Neural Network with small data and compared to models constructed in conventional studies and examined with methods. They are a statistical model and Neural Network model proposed in previous studies. As results, our model outperformed those methods． </i></p>

DOI： 10.24466/pacbfsa.31.0_49

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130007979983

表情知覚時および模倣時における脳波パターンの類似性評価

大森雄馬, 瀬尾彰規, 河野英昭

ファジィシステムシンポジウム講演論文集 2017年09月

ニューラルネットワークを用いた血中薬物濃度推定

平湯和也, 七夕尚大, 折居英章, 河野英昭, 辻康弘

ファジィシステムシンポジウム講演論文集 2017年09月

畳み込みニューラルネットワークを用いた口唇形状認識の一手法

岡野一也, 折居英章, 河野英昭

信学技報 2017年06月

ニューラルネットワークを用いた血中薬物濃度推定の一手法

平湯和也, 七夕尚大, 折居英章, 河野英昭, 辻康弘

信学技報 2017年06月

韻律解析による言語固有特徴に関する一検討

大森雄馬, 瀬尾彰規, 折居英章, 河野英昭

信学技報 2017年06月

ニューラルネットワークを用いた色弱者のための画像色変換とそのパラメータの検討

佐野智紀，折居英章，河野英昭，末竹規哲

電子情報通信学会技術研究報告 2017年02月

EEG Comparison Between Normal and Developmental Disorder in Perception and Imitation of Facial Expressions with the NeuCube 査読有り

Omori Y., Kawano H., Seo A., Doborjeh Z., Kasabov N., Doborjeh M.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10637 LNCS 596 - 601 2017年01月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

© 2017, Springer International Publishing AG. This paper is a feasibility study of using the NeuCube spiking neural network (SNN) architecture for modeling EEG brain data related to perceiving versus mimicking facial expressions. We collected EEG patterns during perception and imitation of facial expressions for each emotion. Comparing the collected data in perceiving and mimicking facial expressions, EEG patterns were very similar. This fact suggests that it seems that there are mirror neurons on facial expression in the human brain. Recently, some studies have been reported that the mirror neuron system does not work well in the case of subjects with brain disorders. In this study, we calculated differences between EEG patterns when we perceived facial expressions and mimicking facial expressions for healthy people and developmental disorders.

DOI： 10.1007/978-3-319-70093-9_63

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85035087233&origin=inward

表情知覚時および模倣時における脳波パターンの類似性評価

大森雄馬, 瀬尾彰規, 河野英昭

日本知能情報ファジィ学会ファジィシステムシンポジウム講演論文集 ( 日本知能情報ファジィ学会 ) 33 ( 0 ) 169 - 172 2017年01月

ニューラルネットワークを用いた血中薬物濃度推定

平湯和也, 七夕尚大, 折居英章, 河野英昭, 辻康弘

日本知能情報ファジィ学会ファジィシステムシンポジウム講演論文集 ( 日本知能情報ファジィ学会 ) 33 ( 0 ) 261 - 264 2017年01月

不自然なアクセントの理解に向けた予備分析

大森雄馬，松木萌，井上創造，河野英昭

第18回日本情報ファジイ学会九州支部学術講演会 2016年12月

顔表情の知覚時と模倣時における脳波の類似性解析

瀬尾彰規, 河野英昭, Zohreh Gholami Doborjeh, Nikola Kasabov, Maryam Gholami Doborjeh

第18回日本情報ファジイ学会九州支部学術講演会 2016年12月

色エッジ処理に基づいた色弱者のためのディープニューラルネットワークによる画像色変換法の提案

佐野智紀，折居英章，河野英昭

第18回日本情報ファジイ学会九州支部学術講演会, pp.71-74 2016年12月

Neurocomputing-based similarity analysis of eeg in perceiving and mimicking facial expressions 査読有り

Seo A., Kawano H.

ICIC Express Letters, Part B: Applications 7 ( 11 ) 2469 - 2475 2016年11月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2016 ICIC International. By using a neuromorphic computation, mirror neuron activities on facial expressions were examined. EEG data are collected during perceiving and mimicking different facial expressions corresponding to different emotions. As a result of neural computational visualization, an EEG in perceiving a particular facial expression and an EEG in mimicking the same facial expression with respect to a particular subject were quite similar. This fact suggests that a human mirror neuron system concerning a facial expression exists in each subject. Recently, some studies have reported that the mirror neuron system does not work well in the case of subjects with brain disorders. The study is indeed based on the well-known mirror neuron concept in the brain, but this is the first attempt to analyze and visualize similarities and differences as a neurocomputing based model.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84992694574&origin=inward

A proposal of image color pre-conversion for elderly employing neural networks 査読有り

Kawano H., Hayashi K., Orii H., Maeda H.

ICIC Express Letters, Part B: Applications 7 ( 4 ) 745 - 752 2016年04月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2016, ICIC Express Letters Office. All rights reserved. Performance of elderly visual functions is gradually changing with age. As one of those changes, aged eyes have a different property in perceiving colors from younger eyes. In general, the elderly perceive images differently from the younger. To give the same perception for the same image as the younger, a different image from an original image needs to be displayed to the elderly. In this paper, a method of generating an inverse characteristic of the elderly image filter for color conversion is proposed. To this end, a neural network model is employed. The neural network is composed of 5 layers. The 5-layer neural network is divided into 2 blocks on the aspect of function. The lower and the upper layers play a role of simulating the image conversion and obtaining its opposite characteristic, respectively. The performance of the proposed framework is evaluated by the experiments on the image color pre-conversion for the elderly.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84992029420&origin=inward

Image color transformation for colorblind using multilayer neural network considering discrimination of color boundary 査読有り

Sano T., Tanabata S., Orii H., Kawano H.

ICIC Express Letters 10 ( 12 ) 2823 - 2828 2016年01月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2016 ICIC International. In this paper, we propose an algorithm of learning based image color transformation for colorblind considering discrimination of color boundary using a multilayer neural network. The symptoms of colorblind are due to an innate lack or deficit of cone cells that recognize colors, and people with colorblind have difficulty discriminating combinations of specific colors. Those people require color transformation for the presented image such that the image can be a perceptible color representation. In the proposed method, we design a multilayer neural network composed of three blocks: layers for image color transformation, layers for perceptual model of colorblind, and layers for color discrimination. In the proposed framework, a neural network learns a relationship of image data and a discrimination performance of colors in an image, and a color transformation rule is trained as a part of a neural network. To verify its effectiveness of the proposed method, we apply the method to the images having various colors.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85006049221&origin=inward

Analysis of similarity and differences in brain activities between perception and production of facial expressions using EEG data and the neucube spiking neural network architecture 査読有り

Kawano H., Seo A., Doborjeh Z., Kasabov N., Doborjeh M.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 9950 LNCS 221 - 227 2016年01月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

© Springer International Publishing AG 2016. This paper is a feasibility study of using the NeuCube spiking neural network (SNN) architecture for modeling EEG brain data related to perceiving versus mimicking facial expressions. It is demonstrated that the proposed model can be used to study the similarity and differences between corresponding brain activities as complex spatio-temporal patterns. Two SNN models are created for each of the 7 basic emotions for a group of Japanese subjects, one when subjects are perceiving an emotional face and another, when the same subjects are mimicking this emotion. The evolved connectivity in the two models are then subtracted to study the differences. Analysis of the models trained on the collected EEG data shows greatest similarity in sadness, and least similarity in happiness and fear, where differences in the T6 EEG channel area were observed. The study, being based on the well-known mirror neuron concept in the brain, is the first to analyze and visualize similarity and differences as evolved spatio-temporal patterns in a brain-like SNN model.

DOI： 10.1007/978-3-319-46681-1_27

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84992734376&origin=inward

Color Conversion for Color Blindness Employing Multilayer Neural Network with Perceptual Model 査読有り

H. Orii, H. Kawano, N. Suetake, H. Maeda

Proc. of 7th Pacific Rim Symp. on Image and Video Technology 2015年11月

A Color Quantization Based on Vector Error Diffusion and Particle Swarm Optimization Considering Human Visibility 査読有り

R. Kubota, H. Tamukoh, H. Kawano, N. Suetake, B. Cha and T. Aso

Proc. of 7th Pacific Rim Symp on Image and Video Technology 2015年11月

車載カメラ画像からの影に依存しない道路検出法の一提案

堤博和, 河野英昭, 折居英章, 前田博

第19回日本知能情報ファジィ学会中国・四国支部大会・第16回日本知能情報ファジィ学会九州支部大会学術講演会合同大会 2015年03月

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