Faculty Profiles - MATSUDA Noriyuki

Published Papers - MATSUDA Noriyuki

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Analysis of Frontal Cerebral Blood Flow Changes in Hand Grip Force Adjustment Skill Learning.

Hirokazu Miura, Masahiro Hakoda, Noriyuki Matsuda, Hirokazu Taki

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KES 2019) ( ELSEVIER ) 159 2224 - 2231 2019 [Refereed]

Human beings perform various motion ranging from simple motion to advanced motion. In addition, sensory information is used as a feedback information of the motion state during operations which require fine adjustment. It is necessary for performing advanced motion to acquire the corresponding skills. To learn such skills efficiently, it is necessary to construct a skill learning system. Grasping skill acquisition status is effective for the skill learning system. Currently, there is no other method than evaluating skill acquisition status by using learners' task scores. However, this method may not be enough to evaluate skill acquisition status. On the other hand, brain has the function of motion commands and sensory acceptance when moving the body. Therefore, it might be possible to sufficiently evaluate skill acquisition status by using the changes of brain activity. In the paper, we measured the changes of cerebral blood flow on learning of force adjustment skill. The obtained data was analyzed by principal component analysis (PCA) and Recurrent Neural Network (RNN). The result of PCA shows that there are some channels which have the changes of the principal component score before and after learning. In the classification by RNN, when the first principal component scores of the cerebral blood flow data before and after learning were used for input data, high classification accuracy was obtained. In addition, higher classification accuracy was obtained when using only channels which have changes in the principal component scores before and after the learning are used as input data, rather than all channels were inputted. From these results, it is shown that characteristics of the prefrontal cerebral blood flow changes according to the motor skill learning. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses)/by-nc-nd/4.0/) Peer-review under responsibility of KES International.

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Analysis of brain activity in distance recognition.

Shohei Matsui, Hirokazu Miura, Noriyuki Matsuda, Masato Soga, Hirokazu Taki

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KES-2018) ( ELSEVIER SCIENCE BV ) 126 2058 - 2064 2018 [Refereed]

Distance recognition is the skill to estimate the distance to the target object. Such a distance recognition skill is one of the most important skills in everyday life. In various situations, such as walking, driving a car, communicating with people and so on, humans perceive the distance between the targets, and do the adequate action. Generally, the precision of distance recognition is different according to difference of the ambient surroundings, the objects, and especially the individual's ability. The distance recognition is achieved by capturing the target object visually and processing its visual information in their brains. Therefore, it is important to investigate how the difference of distance recognition skills affects the brain activity. In the paper, we measure the cerebral blood flow as a brain activity by using NIRS (Near-Infrared Spectroscopy) in the distance recognition. 2018 The Authors. Published by Elsevier Ltd.

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Measurement of Brain Activity on Force Adjustment Skill Acquisition by using EEG.

Masahiro Hakoda, Hirokazu Miura, Noriyuki Matsuda, Fumitaka Uchio, Hirokazu Taki

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS ( ELSEVIER SCIENCE BV ) 112 1273 - 1280 2017 [Refereed]

Human beings perform various motion ranging from simple motion to advanced motion. In addition, sensory information is used as a feedback information of the motion state during operations which require fine adjustment. It is necessary for performing advanced motion to acquire the corresponding skills. In order to learn such skills efficiently, it is necessary to construct a skill learning system. Grasping skill acquisition status is effective for the skill learning system. Currently, there is no other method than evaluating skill acquisition status by using learners' task scores. However, this method may not be enough to evaluate skill acquisition status. On the other hand, brain has the function of motion commands and sensory acceptance when moving the body. Therefore, it might be possible to sufficiently evaluate skill acquisition status by using the changes of brain activity.In the paper, we measured the changes of EEG accompanying learning on force adjustment skill. The obtained EEG data was filtered to remove some noise using Band-pass filter, and then it was transformed into a frequency component by FFT, and the ratio of alpha wave and beta wave was calculated in the EEG data. In addition, we computed EEG coherence between the electrodes of near the frontal association cortex and the electrodes of near the primary motor cortex, between electrodes of near the frontal association cortex and electrodes of primary somatosensory cortex. As a result, the characteristics of the skill acquisition stage could be confirmed from the change of the ratio of alpha wave and beta wave, increase and decrease of the coherence values. (C) 2017 The Authors. Published by Elsevier B.V.

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Analysis of the Cerebral Blood Flow Affected by Brand Impressions of the Products.

Riku Nakamura, Hirokazu Miura, Noriyuki Matsuda, Hirokazu Taki

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS: PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE KES-2016 ( ELSEVIER SCIENCE BV ) 96 ( C ) 1748 - 1755 2016 [Refereed]

In recent years, measurement techniques and devices of cerebral function and brain activity have been improved. Therefore, "Neuromarketing" has been attracting attention. Neuromarketing is one of commercial activities and is in the marketing researches which study comsumers' response to purchase activity. Neuromarketing is helpful for companies to elucidate principles of actions unconsciously caused by human and has 2 purposes to increase effectively consumers' eagerness to buy. First purpose is elucidating what consumers bought for indexes at the time of purchasing decision making. Second purpose is elucidating what consumers regard as important in the indexes. fMRI is used mainly for such a brain activity measurement. However, there are several problems to use fMRI, which has limitation on the posture of the subject is very expensive. Therefore, it is expected that a portable NIRS (Near-infrared spectroscopy) brain measuring apparatus may be suitable for a study of neuromarketing. We investigate the relation between impressions of the product brand and consumers' brain response. From our investigation, we show that different brand impression results in different effect on the cerebral blood flow by a portable NIRS brain measuring apparatus. (C) 2016 The Authors. Published by Elsevier B.V.

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Analysis of Cerebral Blood Flow in Imagination of Moving Object.

Daiki Kurematsu, Hirokazu Miura, Noriyuki Matsuda, Hirokazu Taki

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS: PROCEEDINGS OF THE 20TH INTERNATIONAL CONFERENCE KES-2016 ( ELSEVIER SCIENCE BV ) 96 1756 - 1763 2016 [Refereed]

We proposed operating HMD by BMI to speed up operation and to enhance the convenience in wearable device equipping HMD. But it is difficult to reflect user's thought direct on operation at this stage. In order to realize it, we need to identify a kind of human's brain signal when human thinks about moving object. So our study verifies whether it is possible to identify by imaging direction in data that we investigate cerebral blood flow changes in using NIRS when subject thinks about moving object. Identification was using neural network. The average of identification ratio of 4 direction in Total-Hb, the average of identification ratio of 4 direction in Oxy-Hb, the average of identification ratio of 4 direction in Deoxy-Hb are 32.25%, 36.0% and 37.0%, respectively. The average of identification ratio of 2 direction, up and down, in Total-Hb, the average of identification ratio of 2 direction, up and down, in Oxy-Hb, the average of identification ratio of 2 direction, up and down, in Deoxy-Hb are 63.5%, 62.0% and 62.5%, respectively. The average of identification ratio of 2 direction, left and right, in Total-Hb, the average of identification ratio of 2 direction, left and right, in Oxy-Hb, the average of identification ratio of 2 direction, left and right, in Deoxy-Hb are 58.0%, 55.5% and 69.0%, respectively. From the results, we show the possibility of identification because identification ratio are higher than chance level. (C) 2016 The Authors. Published by Elsevier B.V.

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Design of a System of Thinking Training through Writing

Nakajima, T, Matsuda, N, Cui, L, Tanaka. K, Ikeda, M

Proceedings of the 11th International Conference on Knowledge Management ( The Association International Council on Knowledge Management ) 169 - 177 2015.11 [Refereed]

A Collaborative Learning Program Focused on Belief Conflict

Ogawa, T, Matsuda, N, Seta, K, Ikeda, M

Proceedings of the 11th International Conference on Knowledge Management ( International Conference on Knowledge Management ) 207 - 216 2015.11 [Refereed]

Analysis of Multiple-Choice Tests Through Erroneous Choices Using a Technique of Automatic Problem Generation.

Noriyuki Matsuda, Hisashi Ogawa, Tsukasa Hirashima, Hirokazu Taki （Part： Lead author )

In: Yamamoto S. (eds) Human Interface and the Management of Information. Information and Knowledge in Context. HIMI 2015. Lecture Notes in Computer Science ( Springer ) 9173 362 - 369 2015.07 [Refereed]

In multiple-choice problems, incorrect choices that hide correct answer do not play the only significant function. A more significant function is to capture learner errors and provide learners with the opportunity to amend those errors. In this sense, explanation texts for incorrect choices might be important in allowing learners to amend their own errors correctly. In this paper, we term this “meaningful erroneous choice.” We confirm the existence of meaningful erroneous choice through actual problems used in an examination. We then compare choices using a technique of automatic problem generation. The result indicates that the difference between correctness knowledge and incorrectness knowledge plays an important role in problem posing.

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The Analysis of the Brain State Measuring by NIRS-based BMI in Answering yes-no Questions.

Kosuke Tanino, Hirokazu Miura, Noriyuki Matsuda, Hirokazu Taki

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015 ( ELSEVIER SCIENCE BV ) 60 1233 - 1239 2015 [Refereed]

In recent years, Brain-Machine Interface (BMI) has been improved with the rapid development of the cerebral function measurement technologies. BMI is used for measuring the brain activity of the subjects and inferring his/her intention. These measuring results can control the devices such as the electric wheelchair or the electric arm directly. Previous studies have such problems that BMI device is not portable, and it takes much time to attach a lot of sensor nodes on the head of the subject. Therefore, we use portable NIRS, because it is easy for the subjects to mount it and their burden is low. This paper describes the analytical method for cerebral blood flow during imagining affirmative or negative answers to the questions. It was verified whether it is possible to use the NIRS as BMI to discriminate the yes answer or no without voice and gesture. In our study, a subject keeps watching the display which shows a yes-no question, he/she imagines affirmative or negative answer to the questions. In the experiment, one test trial is in 30 seconds and it includes 10 seconds task between 10 seconds rests. Each test set consists of 10 trials. One subject has five test set. In our study, we used Wearable Optical Topography WOT-100 as measurement device of NIRS which has 10 channels (ch7-16) of prefrontal cortex. The NIRS data analysis procedure is as follows; in the first step, we used a band-pass filter to select the data of frequencies from 0.02Hz up to 0.1Hz. In the second step, measured NIRS data of each task set is divided into 10 blocks which are included 5 seconds data before the task and 10 seconds data after the task. In the third step, we calculated baseline of measured data from 5 seconds of the beginning and the end of the task blocks, and this baseline fitting is applied to the original data. In the last step, the neural network learned the important elements of the training data and classified the test data. Our method can discriminate between imagining affirmative or negative answers with 70% accuracy. At result, NIRS is useful to discriminate the yes-no answer of the questions. (C) 2015 The Authors. Published by Elsevier B.V.

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A generating technique and knowledge representation of multiple-answer problems for learning with solving knowledge.

Noriyuki Matsuda, Hisashi Ogawa, Tsukasa Hirashima, Hirokazu Taki （Part： Lead author )

Res. Pract. Technol. Enhanc. Learn. ( Springer ) 10 ( 1 ) 6 - 6 2015 [Refereed]

Background
Erroneous answers in multiple-answer problems not only make the correct answer harder to determine but also indicate why the correct choice is suitable and the erroneous one a mistake when compared to the correct answer. However, it is insufficient to simply create erroneous answers for this purpose: explanations of these answers are also required. Preexisting studies examining functions for generating erroneous answers and their explanations based on this approach are abundant. Nevertheless, a major bottleneck has formed in this research body concerning the related specialized knowledge descriptions that are required for the generation function.

Methods
This paper focuses on the notion that it is easy for teachers skilled in problem solving to express specific problems in written form and amend incomplete knowledge. Furthermore, it examines a method of constructing knowledge while generating and updating knowledge from specific problems.

Result and Conclusion
The suitability of the proposed method was verified by examining actual knowledge constructed by the research subjects.

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Reviewing system of writing for hospital nurses

Hideyuki KANO, Hirotaka NISHIYAMA, Koji TANAKA, Liang CUI, Noriyuki MATSUDA, Hirokazu MIURA, Mitsuru IKEDA, Hirokazu TAKI

Proc. of The 22nd International Conference on Computers in Education ( Asia-Pacific Society for Computers in Education ) WIPPC1‐ 01 2014.11 [Refereed]

Using Ontology for Representing Role Change Design in Nursing Service Thinking Education

Chen, W, Cui, L, Tanaka, K, Nishiyama, H, Matsuda, N, Ikeda, M

Proceedings of the 22th International Conference on Computers in Education ( Asia-Pacific Society for Computers in Education ) W13‐03 2014.11 [Refereed]

Classification of Haptic Tasks based on Electroencephalogram Frequency Analysis.

Hirokazu Miura, Junki Kimura, Noriyuki Matsuda, Masato Soga, Hirokazu Taki

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014 ( ELSEVIER SCIENCE BV ) 35 1270 - 1277 2014 [Refereed]

In recent years, it is difficult to inherit high level sensory skill, because the number of experts is not so much or the experts are too busy to teach their skill to the beginners. Therefore, many learners do the experiential learning through visual and haptic digital teaching materials. In such a system, however, it is difficult to evaluate whether the learner could recognize the sensation and obtain the sensory skill. In the paper, we investigate whether the biological signal such as EEG can be used for the evaluation of the haptic task skill level. (C) 2014 Published by Elsevier B.V.

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Classification by EEG Frequency Distribution in Imagination of Directions.

Yuki Seto, Shumpei Ako, Keijiro Sakagami, Hirokazu Miura, Noriyuki Matsuda, Masato Soga, Hirokazu Taki

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 18TH ANNUAL CONFERENCE, KES-2014 ( ELSEVIER SCIENCE BV ) 35 1300 - 1306 2014 [Refereed]

This paper describes the method for classification of brain state by the measured electroencephalogram (EEG) frequency in directions (up, down, left, and right) imagination. Recently, Brain-Machine Interface (BMI) has been studied in a variety of ways due to the development of brain measurement technology. Therefore, we have used the BMI to identify the human selection of directions. Our method consists of data normalization, principal component analysis and neural network. The maximum value of the identification rate was 46% by using 3 electrodes (F4, F8 and T8) in the previous study. In this study, we improved the learning method of neural network for the improvement of identification rate of brain state. For that purpose, the measurement points of EEG and the number of subjects are increased. As a result, the maximum value of the identification rate was improved. (C) 2014 Published by Elsevier B.V.

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A Method of Sharing the Intention of Reviewing in Writing-Training for Nurses

Hideyuki Kanou, Noriyuki Matsuda, Cui Liang, Mituru Ikeda Yuu Okamuro, Kazuhisa Seta, Hirokazu Taki

Proc. of 21st International Conference on Computers in Education 983 - 989 2013.11 [Refereed]

The Problem Oriented System (POS), SOAP, and Focus Charting are popular methods of recording nursing activities as a way to improve collaborative nursing practices. However, explicit training methods for what and how nurses should write these recording systems for their nursing have not been sufficiently established. In regard to such trainings, we consider that a tutor's thinking process is more important than the actual thinking result (e.g., a comment document). Our approach is to express tutor's intention of teaching as a map in order to develop an educational tool that can be used in trainings on what and how to think in recording their activities. This paper presents an overview of the reviewing tool we developed, which provides tags as criteria of a tutor's judgment. We have confirmed that, at least, the proposed method does not hinder a tutor's review of a nurse's case writing.

Electroencephalogram Analysis of Pseudo-Haptic Application for Skill Learning Support System

Hirokazu MIURA, Keijiro SAKAGAMI, Yuki SETO, Shumpei AKO, Hirokazu TAKI, Noriyuki MATSUDA, Masato SOGA

21st International Conference on Computers in Education,3rd Workshop on SKill Analysis, learning or Teaching of Skills, Learning Environments or Training Environments for Skills ( Asia Pacific Society for Computers in Education ) W5-04 2013.11 [Refereed]

Analysis of Brain State in Imaging Directions by Using EEG

Seto Yuki, Ako Shumpei, Miura Hirokazu, Matsuda Noriyuki, Taki Hirokazu

BME ( Japanese Society for Medical and Biological Engineering ) 51 R - 192-R-192 2013

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Meta-cognitive skill training programme for first-year bachelor students using thinking process externalisation environment.

Kazuhisa Seta, Liang Cui, Mitsuru Ikeda, Noriyuki Matsuda, Masahiko Okamoto

Int. J. Knowl. Web Intell. ( Inderscience Publishers ) 4 ( 2/3 ) 217 - 237 2013 [Refereed]

We think that to acquire a skill for co-creating knowledge with others cooperatively, it is important to develop meta-cognitive skill, but to do so is not straightforward. In this paper, we attempt to design a thinking skill (particularly meta-cognitive skill) development curriculum for first-year bachelor-degree students on the basis of the results obtained in two preceding studies that we have performed for postgraduate education and those engaged in medical services. To deal effectively with new learning for first-year bachelor students – ‘thinking about thinking’ – we designed a curriculum that gives students a knowledge co-creation programme and thinking externalisation tool to devote attention to the thinking process and to have the bodily sensation of its meaning, and we put it into practice. This paper describes a learning model for thinking skill, which is fundamental to appropriate curriculum design, and discusses the design intention of a curriculum conforming to it and the usefulness of the learning programme through examples of using the thinking externalisation tool in practice. Results show that the learning programme developed in this study is useful for cultivating the meta-cognitive skill of bachelor students.

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Developing Thinking Skill Training Program for 1st Year Bachelor Students that Makes Thinking the Outside to Train Meta-cognitive Skill through Knowledge Co-creation Discussion

Kazuhisa Seta, Liang Cui, Mitsuru Ikeda, Noriyuki Matsuda, Masahiko Okamoto

Transactions of Japanese Society for Information and Systems in Education ( Japanese Society for Information and Systems in Education ) 30 ( 1 ) 77 - 91 2013 [Refereed]

The authors hold the opinion that to acquire a skill for co-creating knowledge with others cooperatively, development of meta-cognitive skill is important, but to do so is not straightforward. Herein, we attempt to design thinking skill (particularly meta-cognitive skill) development curriculum for first year bachelor students based on the results obtained by two preceding studies we have performed so far for postgraduate education and those engaged with medical services. To deal effectively with new learning for first year bachelor students—“Thinking about thinking”—we designed a curriculum by which students are given knowledge co-creation program and thinking externally tool to devote attention to thinking process and to have bodily sensation of its meaning, and put it into practice. This paper describes learning model for thinking skill which is fundamental to appropriate curriculum designing and discusses design rationale of the curriculum conforming to it and usefulness of the learning program through examples of practice using thinking externally tool. Results show that the learning program developed in this study is useful for cultivating meta-cognitive skill of bachelor students.

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Automatic Generation of Multiple-choice Test with Guide to Error Solution by Prolog

Hisashi Ogawa, Noriyuki Matsuda, Tsukasa Hirashima, Hirokazu Taki

Transactions of Japanese Society for Information and Systems in Education ( Japanese Society for Information and Systems in Education ) 30 ( 2 ) 139 - 147 2013 [Refereed]

In this paper, we describe the concept of Simulation of Erroneous Solution (SES) to generate an adequate number of distractors and the erroneous solution in multiple-choice questions. SES is a method of generating a solution from wrong knowledge to wrong answer, by a perturbation from problem-solving knowledge to knowledge of wrong answer derivation. The perturbation is projected on a student's typical error, and the perturbation operator expresses the difference between the erroneous solution and the correct solution. We confirmed that forty eight questions and a hundred twenty eight explanation text about the distractors are automatically generated from seventeen Prolog clauses as knowledge into SES, and the SES has the potential for generating relevant distractors and the erroneous solution.

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Published Papers - MATSUDA Noriyuki