May 2024, Best Award (Space weather), GeoSciAI2024, Solar Flare Prediction Using Solar Observation Data, Japan Geoscience Union & The Japanese Society for Artificial Intelligence
Rie Enomoto;Taisuke Kawamata;Ryozo Kitajima;Shinji Sakamoto;Toshiyuki Hashimoto
Japan society

Oct. 2023, Excellent Poster Awards Outstanding Prize, Writer Alternation Detection by Sequential Hotelling's Theory for e-Testing, IEEE GCCE
Taisuke Kawamata;Takako Akakura
International society

Sep. 2016, FIT Research Incentive Award, Probabilistic Authentication Using Sequential Face Similarity Data in E-learning, Forum on Information Technology
Taisuke Kawamata
Japan society

Nov. 2015, Research Incentive Award, A study of various sequential update method for face authentication in e-Learning system, IEICE Educational Technology
Taisuke Kawamata
Japan society

Emotion Analysis for Japanese Text by Teacher-Organized Map
Taisuke Kawamata; et al., Lead, In recent years, highly accurate emotion recognition methods based on large language models have been proposed; however, their internal representations and inference processes remain difficult for humans to interpret. This study aims to make the internal structure of emotion classification models interpretable by visualizing class organization in the hidden layer. We propose a Teacher-Organized Map, which promotes the organized of the hidden layer through error backpropagation combined with a pooling layer in an RBF network. Experiments on the Japanese emotion analysis dataset WRIME demonstrate that the proposed method enables the class structure of emotions to be interpreted as a two-dimensional map through U-matrix visualization., Information Processing Society of Japan
IPSJ Journal, Aug. 2026, [Reviewed]

〔Major achievements〕Analysis of Student Activity Using Wi-Fi Authentication Logs
Taisuke Kawamata; Kazuyuki Yamamoto; Yasuhiro Ohtaki, Lead, 従来，学生の活動状況は教務情報に基づいて把握されてきたが，教務情報は修学に付随して発生することから，課外活動やキャンパス内での日常的な行動を捉えるには不十分であるという課題がある．そこで本研究では，大学の情報基盤に記録される無線LANアクセスポイント(AP)の認証ログを用いることで，学生の活動傾向を補足することが可能か検証を行う．分析のために，APの認証成功ログに対してWord2Vecによる分散表現を適用し，APを実数空間に埋め込むことで，キャンパス内の構造に対応した位置関係を構成した．さらに，この埋め込み空間を用いて学生の移動履歴を時系列的に分析し，逸脱度の推移に基づいてクラスタリングを行った．その結果，特定の認証情報と学生の属性・行動傾向との関連が確認された．, Academic eXchange for Information Environment and Strategy
Journal for Academic Computing and Networking, Nov. 2025, [Reviewed]

A Teacher Organization Map with Pooling SOM for Writer Verification in Online Examination
Taisuke Kawamata; Takako Akakura, Lead, To develop explainable artificial intelligence, we developed a SOM-like layer using a convolutional neural network architecture. This pseudo-SOM is integrated into the MLP and named Teacher Organization Map (TOM). TOM applied for writer identification to prevent proxy test-taking in e-Testing. Our results show that the verification accuracy is nearly 90% while maintaining explainability in the hidden layer., Institute of Electrical and Electronics Engineers Inc.
Proceedings of 2025 IEEE Global Conference on Consumer Electronics (GCCE2025), Sep. 2025, [Reviewed]

An Emotion Classification System Considering Analytic Hierarchy Process
Yurika Nagamori; Kiichi Honsho; Hiroaki Narisawa; Shinji Sakamoto; Taisuke Kawamata, Last, Emotion estimation systems have been investigated and developed for a long time due to their usefulness in various industrial applications. However, emotions estimation is a complex system. In this reason, we begin with a simple model that classifies a sentence into eight emotions based on Plutchik’s circle. This paper proposes an Analytic Hierarchy Process (AHP) based emotions estimation system. We evaluate the proposed system by comparing the conventional system, which is the Word2Vec-based emotions estimation system. The evaluation results show that the order of emotions in both systems are not big difference in the considered sentences. After getting a vector of words, AHP has explainable feature, also setting the weight coefficient to emotions. Moreover, AHP is suitable for managing individual emotions. This makes the proposed system valuable and easy to use in other industrial applications., Springer
Advances in Internet, Data and Web Technologies. EIDWT 2025. Lecture Notes on Data Engineering and Communications Technologies, Apr. 2025, [Reviewed]

Evaluation of the variance in an eye-tracking system considering the number of cameras
Kiichi Honsho; Yurika Nagamori; Shinji Sakamoto; Taisuke Kawamata, Last, Eye-tracking technology is becoming more important and widely used in various fields, such as computer-human interaction, medical rehabilitation, user behaviour analysis, marketing, automotive, training, and entertainment. In this work, we would like to improve the estimation accuracy easily and at low cost. So, we use multiple web cameras to estimate the gaze. This paper clarifies the estimation variance in a gaze estimation system by considering the number of cameras as a preliminary experiment. Our experimental results showed that the estimation variance did not decrease as the number of cameras increased. However, we found that the camera position affects the accuracy and variance of gaze estimation also in multiple camera system., Springer
Advances in Internet, Data and Web Technologies. EIDWT 2025. Lecture Notes on Data Engineering and Communications Technologies, Apr. 2025, [Reviewed]

〔Major achievements〕Categorization of ICT Inquiry Data using Mail Subjects
Taisuke Kawamata; Kazuyuki Yamamoto; Yasuhiro Ohtaki, Lead, 情報系センターにおける業務の一つである問合わせ対応の効率化を目的に，問合わせデータを機械的にカテゴライズする方法を検討した．問合わせはメールで行われることが多いが，メールの本文には問合わせと無関係なノイズが多く含まれ，それらのノイズを前処理で削除するための工程が，自動的なカテゴライズを困難なものにしている．そこで本研究では，メールの件名が本文の要約であり，また短文であることからノイズが少ないという点に着目し，件名の活用方法について検討を行う．短文に含まれる単語情報を効果的に活用するため，文書の文脈を考慮することが可能な深層言語モデルBERTを用いて特徴抽出を行った．実際の問い合わせデータを対象に，抽出した特徴をクラスタリングし，人間のカテゴライズと比較した．その結果，件名を用いた分類は本文を用いた分類よりも意味としてまとまったクラスタを生成することが明らかになった．これにより，件名を活用することで，メール分析における前処理の課題を解決できる可能性が示唆された．, Academic eXchange for Information Environment and Strategy
Journal for Academic Computing and Networking, Nov. 2024, [Reviewed]

Writer Verification Using Cluster Search Trees for e-Testing
Taisuke Kawamata; Takako Akakura, Lead, This study addresses the risk of proxy test-taking in e-testing by developing a tablet-based written response system to prevent substitute answers. We examined how the method employs cluster search, which is equivalent to binary search using hierarchical clustering, to efficiently authenticate examinees based on stroke patterns. The study explores stroke authentication using minimum distance, focusing on efficiently locating reference strokes in datasets with varying stroke counts. Experimental results across Kanji and numeric datasets demonstrate that while cluster search showed slightly lower accuracy than linear search, it offered reduced computational complexity., Institute of Electrical and Electronics Engineers Inc.
Proceedings of 2024 IEEE Global Conference on Consumer Electronics (GCCE2024), Nov. 2024, [Reviewed]

〔Major achievements〕Hierarchical Clustering of University Faculty Based on Professional Accomplishments
Taisuke Kawamata, Lead, To visualize the research information owned by the university, we applied hierarchical clustering to features extracted from the titles of faculty achievements and implemented an fuzzy search for faculty members by binary search tree. We executed feature extraction using Sentence BERT and classification using the Ward method for the performance titles of faculty members affiliated with Ibaraki University, collected from researchmap. The classification results differed from the university's departmental affiliations; however, the clustering results were validity in light of the actual research content. Additionally, we evaluated the accuracy of faculty member search by title. The evaluation results revealed that research achievements other than those of the first author and the presence of collaborating researchers affect the accuracy., Information Processing Society of Japan
Digital Practice, Transactions of Information Processing Society of Japan, Oct. 2024, [Reviewed]

〔Major achievements〕A Voice Verification based Examinee Authentication in Multiple-Choice e-Testing
Taisuke Kawamata; Tsubasa Hattori; Toru Kano; Takako Akakura, Lead, To detect proxy test-taking in online exam, we focused on speaker verification, which is a biometric authentication method using voice input, and developed a test system by using a microphone, which is a cheap and widely-used device. Experimental results showed that the accuracy of this procedure is higher than the writer verification in previous research. In addition, the voice response system using a microphone was found to reduce the psychological burden on examinees compared with video monitoring., Institute of Electronics, Information and Communication Engineers
IEICE TRANSACTIONS on Information and Systems, Mar. 2024, [Reviewed]

Writer Alternation Detection by Sequential Hotelling's Theory for e-Testing
Taisuke Kawamata; Takako Akakura, Lead, To prevent proxy test-taking during unsynchronized e-Testing, we examined a method for examinee alternation detection based on online handwriting information, incremental statistics, and Hotelling's theory. In this study, Hotelling's T2and Hotelling's transform (PCA) were compared, and the findings indicated that T2 had a lower calculation complexity and higher accuracy than PCA. In addition, the results showed that PCA reduced the rejection rate of earnest students., Institute of Electrical and Electronics Engineers Inc.
Proceedings of 2023 IEEE Global Conference on Consumer Electronics (GCCE2023), Oct. 2023, [Reviewed]

Proposal for Writing Authentication Method Using Sequential Characters in e-Testing
Riku Tatsukawa; Toru Kano; Taisuke Kawamata; Takako Akakura, This study focuses on countermeasures against spoofing. Previous studies have confirmed that personal authentication, using handwriting information, is possible in e-Testing. However, they could only be applied to e-Testing in which the answer is given in one digit (0-9) because the authentication was performed using one digit. This study created an e-Testing system that answers 2-6 digits and proposed a writing authentication method using sequential characters in e-Testing with help of a pen-tablet PC. The experiment yielded that when authenticating with two characters (bigrams) instead of one character (unigrams), the accuracy was higher. Furthermore, it was confirmed that personal authentication is possible even in e-Testing that answers two digits or more., Institute of Electrical and Electronics Engineers
Proceedings of 2023 IEEE Global Conference on Consumer Electronics (GCCE2023), Oct. 2023, [Reviewed]

〔Major achievements〕Proposal of Multimodal Fatigue Measurement Using Face and Writing Information for Online Education
Taisuke Kawamata; Takako Akakura, Lead, In e-learning, learners tend to fatigue caused by loneliness or a learning environment. To prevent drop out, we develop a system for measuring fatigue using a webcam. In this paper, we propose a multimodal fatigue measurement using facial information and writing features that can be obtained with the tablet PCs, and an experimental result suggested the possibility of improving measuring accuracy by combining the face and writing information., Institute of Electronics, Information and Communication Engineers
IEICE TRANSACTIONS on Information and Systems, Feb. 2023, [Reviewed]

Writer Alternation Detection for Online Exam by Exponential Moving PCA
Taisuke Kawamata; Takako Akakura, Lead, Many online handwriting authentications have been developed to prevent proxy-test taking in unsynchronized online exams. Here, we propose an unsupervised anomaly detection method based on principal component analysis calculated from incremental statistics to develop an examinee alternation detection system without template information or pre-training. The evaluation results show that the accuracy of this system is over 90%., Institute of Electrical and Electronics Engineers
Proceedings of 2022 IEEE Global Conference on Consumer Electronics (GCCE2022), Oct. 2022, [Reviewed]

Automatic Evaluation of Learning Behaviors for Online Lectures by OpenPose
Taisuke Kawamata; Takako Akakura, Lead, To prevent learners from doing something unrelated during online lectures, we propose an automatic evaluation method for learning behavior. This method extracts the pose of learners and their teacher by OpenPose, constructs a model that estimates the teacher's pose at j seconds in an online lecture from that of a learner, and evaluates them by measuring the difference between the estimated and actual values. The result of an experiment showed that this could detect unrelated actions in about 90% of instances., Institute of Electrical and Electronics Engineers
Proceedings of IEEE Global Conference on Life Sciences and Technologies (LifeTech2022), Mar. 2022, [Reviewed]

Analysis of Computer Science Textbooks by Topic Modeling and Dynamic Time Warping
Taisuke Kawamata; Yoshitatsu Matsuda; Takayuki Sekiya; Kazunori Yamaguchi, Lead, The design of appropriate curricula in the rapidly expanding field of computer science (CS) is one of the most important issues in higher education, and there are many features to be considered. To provide useful information for developing appropriate curricula, we investigated the actual textbooks traditionally used in CS by applying the latent Dirichlet allocation to actual textbooks. In this paper, we focused on the topic progression of the textbooks and showed the results of clustering analysis with sequence clustering. We discovered that the structure of CS textbooks can be explained by five or six topics, and that dynamic time warping (DTW) can classify knowledge areas for CS more appropriately than the LDA-based clustering without DTW., Institute of Electrical and Electronics Engineers
Proceedings of 2021 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE2021), 05 Dec. 2021, [Reviewed]

Face Authentication for E-testing Using Sequential Reference Update
Taisuke Kawamata; Takako Akakura, Lead, In an e-testing system, spoofing may occur if the teacher is unable to see examinees during tests. We examined variations in facial images captured by a webcam during e-testing with the aim of detecting impersonation. In previous work, we proposed an authentication method based on updating an examinee’s facial images, which is limited to VOD-based e-learning. We thus optimized its application to e-testing in this paper. Our findings indicate that the proposed method improves authentication accuracy., Institute of Electrical and Electronics Engineers
Proceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE2020), Dec. 2020, [Reviewed]

Sequential Authentication using Handwriting Biometrics for Free Response e-Testing
Taisuke Kawamata; Takako Akakura, Lead, To prevent proxy-test taking among examinees in unsynchronized e-Testing, a previous work proposed an online handwriting authentication. That method was limited to applied for end of each answer. For free response tests that needed to authenticate throughout the answer, we used the Bayesian prior information to examine a sequential handwriting authentication procedure. The evaluation results indicate that the accuracy of this procedure is higher than the previous method in examinees authentication during mathematics exam with referring the Chinese character., Institute of Electronics, Information and Communication Engineers
IEICE TRANSACTIONS on Information and Systems, Apr. 2020, [Reviewed]

Hybrid handwriting authentication model for online testing using a Siamese neural network and MLP
Daisuke Hayashi; Taisuke Kawamata; Toru Kano; Takako Akakura, We propose a hybrid authentication model for online testing that combines a handwriting model using a Siamese neural network and a dynamic information model using a multilayer perceptron. The resulting hybrid authentication model obtained better accuracy than either the handwriting model alone or the dynamic information model alone., Institute of Electrical and Electronics Engineers
Proceedings of 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), 12 Mar. 2020, [Reviewed]

Development of a Knowledge Acquisition Support System Featuring Assembly of Logical Formulas and Logic Circuits Based on a Problem-Solving Process Model of the Japanese Patent Act
Takako Akakura; Taisuke Kawamata; Koichiro Kato, In this study, we developed a system based on a problem-solving process model of the Japanese Patent Act to support knowledge acquisition among engineering students, who are better at interpreting the use of logical formulas and logic circuits than they are at reading legal texts. The knowledge acquisition support system helped students construct legal articles by themselves by using logical formulas and logic circuits. We found that this system was rated favorably by some students and that it was useful for their knowledge acquisition. Meanwhile, it is necessary to improve the system for those students who did not rate it favorably and to devise a support system for term exams. We speculate that such improvements will increase usage of the system, which in turn will lead to further support for knowledge acquisition., Japanese Society for Engineering Education
Journal of JSEE, Jul. 2019, [Reviewed]

RELATIONSHIP BETWEEN THE MULTIDIMENSIONALITY OF THE KNOWLEDGE ACQUISITION PROCESS FOR LAW AND THE USE OF LEARNING SUPPORT SYSTEMS THAT SIMULATE LEGAL TEXTS AS LOGIC CIRCUITS
Takako Akakura; Taisuke Kawamata; Koichiro Kato, In a previous study, we developed systems with several functions, such as simulation of legal texts as logic circuits, and we revealed that engineering students studying intellectual property law have various preferences for the learning support systems. The study also showed that there were differences in individuals’ ability to train on each system.

In this study, we classified students on several dimensions with respect to the knowledge acquisition process for intellectual property law and found that there are adaptive systems for each student. We consider the knowledge acquisition process to have four dimensions, as listed below:
1. Learning style:
(a) Acquiring knowledge by attempting to solve exercises.
(b) Attempting to solve exercises only after thoroughly understanding the theory.
2. Ability to read legal texts: (a) Good. (b) Poor.
3. Subjective evaluation of reading legal texts: (a) Easy. (b) Difficult.
4. Subjective evaluation of mathematical learning: (a) Easy. (b) Difficult.

The students classified in these four dimensions constitute 16 types (24), and we report the results of our analysis based on the criteria listed below:
1. The type of student and what kind of system they used.
2. The type of student and how they simulated legal texts on the learning support system.
3. The type of student and how they used the learning support system and acquired knowledge., International Academy of Technology, Education and Development
Proceedings of 13th International Technology, Education and Development Conference（INTED2019), Mar. 2019, [Reviewed]

RELEVANCE ANALYSIS OF CONTENTS TYPE AND FACE AUTHENTICATION FOR PREVENTING PLAGIARISM OF E-CONTENT
Taisuke Kawamata; Takako Akakura, Lead, Many universities have introduced e-Learning systems to allow learners to take lecture courses remotely, which has led to thousands of lectures now being available online.On an e-Learning system, spoofing may occur if the teacher is unable to see the learners during lectures, which in turn creates certain problems. The lectures and associated materials are intellectual property that must be protected by preventing spoofing. Thus, it is necessary to authenticate learner identity during an e-Learning session.

For preventing plagiarism of e-content and protecting intellectual property rights, we discuss a methodology of biometrics authentication using facial images. We implemented facial authentication to three types of e-Learning: text reading, video watching and exam type. The study shows the difference of learning behavior in each type such as text position on a display, occluding face during the exam and more. We analyzed the facial images on each behavior, and examined the method of control these behaviors to introduce the facial authentication., International Academy of Technology, Education and Development
Proceedings of 13th International Technology, Education and Development Conference（INTED2019), Mar. 2019, [Reviewed]

Relationship Between Use of a Learning Support System for Intellectual Property Law Education and Knowledge Acquisition
AKAKURA Takako; KAWAMATA Taisuke; TOMOTO Takahito; KATO Koichiro, We analyze the relationship between use of a learning support system for face-to-face lectures on intellectual property law and knowledge acquisition. We first describe a system that we are currently developing and operating. We next analyze the relationship between system use and knowledge acquisition over the past 5 years (FY 2013–2017) for engineering students participating in these lectures. The analysis results show that daytime students frequently used the system for mid-term and final exams, and that nighttime students tended to access the system throughout the term. Finally, we analyze relationships between login count, video system usage time, and exercise system usage times in FY 2017. The results suggest that the video system is useful for acquiring basic knowledge, and that the exercise system promotes acquisition of applied knowledge. The exercise system for studying legal texts, logical expressions, and logic circuits was well received by engineering students, suggesting that system usage facilitates understanding of legal texts. In future work, we will improve the exercise system for logical expressions and logic circuits., Japanese Society for Engineering Education
Journal of JSEE, Mar. 2019, [Reviewed]

Development of Sequential Examinee Authentication System Using Web Camera and Pen Tablet for e-Testing
Taisuke Kawamata; Takako Akakura, Lead, One problem in e-testing is that cheating by impersonation is easy.
In a previous work, a biometrics authentication was proposed for e-testing.
That method was limited in that it disturb examinees.
This paper proposes a combination of the previously proposed handwriting authentication with face authentication, and we developed an examinee authentication system that can be applied in real time without disturbing examinees, which using facial images from a webcam and handwriting information from a pen-based tablet during e-testing., Institute of Electronics, Information and Communication Engineers
IEICE TRANSACTIONS on Information and Systems, Mar. 2019, [Reviewed]

Use of Learning Support Systems in Intellectual Property Law Education in Engineering Departments
Takako Akakura; Taisuke Kawamata; Koichiro Kato, Engineering students taking face-to-face classes on intellectual property law have indicated a desire to study a greater amount of applicable content. Accordingly, we have developed and are currently operating various learning support systems. The first system has video recordings of lectures as well as additional functions such as practice exercises. The second system is a self-learning support system that utilizes the fact that law statements can be represented by logical expressions. In the third system, the user interface of the second system is represented by logic elements and logic circuits. In this report, we explain these three systems, and we compare and analyze the use of each system by students and their evaluation of the systems. It was found that, overall, students preferred the first system. In addition, first system was evaluated highly by students who placed emphasis on acquiring knowledge, while the second and third systems were highly evaluated by those who prefer to do problem exercises., Japanese Society for Engineering Education
Journal of JSEE, Jan. 2019, [Reviewed]

Development and Use of a Video On Demand e-Learning System with Logic Circuit Exercises for Teaching Intellectual Property Law
Takako Akakura; Taisuke Kawamata; Koichiro Kato, We are developing web-based e-learning systems for learning intellectual property law. One system records face-to-face lectures as its main function, with exercise and other functions added. In this study, we developed a system that can create exercises using logic circuits. Analysis of student usage results from FY 2013 to FY 2017 showed that the video system was widely used and that a system that teaches legal texts using logic circuits introduced in FY 2017 was positively evaluated., Institute of Electrical and Electronics Engineers
Proceedings of 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Dec. 2018, [Reviewed]

Development of a Learning Support System that Automatically Generates Solutions by Converting Legal Articles into Logical Expressions
Takako Akakura; Taisuke Kawamata; Koichiro Kato, We previously showed that legal articles can be represented as logical formulas, and that in legal education, computers can automatically compare solutions with answers input by students. Whereas the previously developed system advanced learning through exercises, in the present research we aimed to develop a system with functions for learning and exercises. We first analyzed how students use the exercise function, with the goal of making a system that is adaptive to students. As a result, we identified two student types who use the system differently: those who learn first and do exercises later, and those who learn through repeated exercises. When pages for learning were created, the new system was given high subjective ratings by the former student type., Institute of Electrical and Electronics Engineers
Proceedings of 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE), Oct. 2018, [Reviewed]

Learner Authentication by Sequential Updated Reference Information Using Input Face Information in a E-Learning
Taisuke Kawamata; Takatoshi Ishii; Takako Akakura, Lead, We developed a face authentication updating a reference information for prevention spoofing on e-Learning. The result of an evaluation experiment showed our proposal improves accuracy by weighting update which based on e-Learning events and a similarity between template and input information., Institute of Electronics, Information and Communication Engineers
IEICE TRANSACTIONS on Information and Systems, Apr. 2018, [Reviewed]

Development of A Learning Support System for Studying Intellectual Property Law Based on Representing Legal Statements as Logical Circuits
Takako Akakura; Taisuke Kawamata; Koichiro Kato, We have previously developed a learning support system for intellectual property law that utilizes the fact that legal statements can be represented using propositional logic and first-order predicate logic. The developed system provides learners with feedback about their mistakes by finding the difference between the logical structure of the correct answer and the logical structure that the learner has entered. The system has been highly evaluated for facilitating learning by engineering students, who tend to be good at logical thinking. A logical structure is used for the internal control of the system and learners are aware of this as they enter their answers. However, the user interface was difficult to use as it involves using a dropdown list to enter logical operators such as ∧, ∨, ∀, or ∃, and we received many suggestions that this area be improved. Accordingly, in this study we have developed a learning support system where students create structures for legal statements by themselves, using circuit symbols such as AND, OR, NAND, NOR or NOT rather than symbols such as ∧, ∨, ∀, or ∃. For example, in order for something to be patentable under the Patent Act, it must satisfy conditions such as being an invention under the Patent Act, being novel, having an inventive step, and not violating the public interest. In determining whether an invention is novel, it must not violate the patentability conditions in clauses (i) to (iii) of Article 29(1) of the Patent Act. However, even if an invention fails (iii) as a result of being described in a distributed publication for example, there is still a high probability that it is patentable if it falls under the exceptions in Article 30(1) or (2). This kind of decision can be written as a logical circuit by using a 3-input NOR gate to join the clauses of Article 29(1) followed by a 3-input OR gate connecting the NOR output, Article 30(1), and Article 30(2), so that the final value becomes “1” (patentable) if either Article 30(1) or Article 30(2) is met, even if the output of the NOR gate is “0” (not patentable). This allows the system to have the learner construct the circuit and to simulate what the output will be for the logical circuit that the student has actually created, thereby giving feedback as to whether the answer was correct and, if not, which part of the circuit contains the error. We found that if students had already taken a course in logical circuits such a system was extremely easy for them to use, and that the user interface was also very highly evaluated., International Academy of Technology, Education and Development
Proceedings of 12th International Technology, Education and Development Conference（INTED), Mar. 2018, [Reviewed]

Development of a blended learning system for engineering students studying intellectual property law, and an analysis of the relationship between system usage and the knowledge acquisition process
Takako Akakura; Taisuke Kawamata; Koichiro Kato, Institute of Electrical and Electronics Engineers
Proceedings of 2017 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2017, 08 Jan. 2018, [Reviewed]

Examination of sub-stroke and face authentication for e-Testing
Taisuke Kawamata; Takako Akakura, Lead, Institute of Electrical and Electronics Engineers
Proceedings of 2017 IEEE Region 10 Conference (TENCON), 19 Dec. 2017, [Reviewed]

Face Authentication for e-Learning Using Time Series Information
Taisuke Kawamata; Takatoshi Ishii; Takako Akakura, Lead
Proceedings of 2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Dec. 2016, [Reviewed]

Student Authentication by Updated Facial Information with Weighting Coefficient in e-Learning
Taisuke Kawamata; Takatoshi Ishii; Susumu Fujimori; Takako Akakura, Lead
Proceedings of 2016 IEEE Region 10 Conference (TENCON), Nov. 2016, [Reviewed]

Student Authentication Method by Sequential Update of Face Information Registered in e-Learning System
Taisuke Kawamata; Susumu Fujimori; Takako Akakura, Lead
Human Interface and the Management of Information: Applications and Services, Pt II, Jul. 2016, [Reviewed]

〔Major achievements〕Sentiment Analysis by User Age Group Using Replies to News Posts on SNS
Taisuke Kawamata; Yuusei Ootsuka; Kenta Meotosugi; Yoshitatsu Matsuda
The journal of the Faculty of Science and Technology, Seikei University, Dec. 2025
Lead

〔Major achievements〕Discussion of Writer Identification Method Using the Results of Handwritten Arabic Numeral Recognition in e-Testing
Riku Tatsukawa; Taisuke Kawamata; Takako Akakura
IEICE Technical Report, Nov. 2024

Pattern Extraction from Pitch Sequences in Professional Baseball
Takuma Moriya; Taisuke Kawamata; Yoshitatsu Matsuda
The journal of the Faculty of Science and Technology, Seikei University, Dec. 2023

〔Major achievements〕Automatic Extraction of Correspondence from Multiple Translated Documents Using Dynamic Time Warping
Kazuki Nakaya; Taisuke Kawamata; Yoshitatsu Matsuda
Proceedings of the Twenty-ninth Annual Meeting of the Association for Natural Language Processing, Mar. 2023

Writer Alternation Detection by Sequential Hotelling's T2 for Online Exam with Digital Pen
Taisuke Kawamata; Takako Akakura
Proceedings of the IEICE General Conference, Feb. 2023
Lead

Proposal for Writing Authentication Method Using Sequential Characters in e-Testing
Riku Tatsukawa; Toru Kano; Taisuke Kawamata; Takako Akakura
電子情報通信学会総合大会情報・システムソサイエティ特別企画ジュニア＆学生ポスターセッション予稿集, Feb. 2023

Authentication for Online Exams with Voice Input Using Speaker Verification
Tsubasa Hattori; Toru Kano; Taisuke Kawamata; Takako Akakura
Proceedings of the IEICE General Conference, Feb. 2023

Analysis of Odds Splitting to Improve Horse Racing Targets
Araaki Kobayashi; Taisuke Kawamata; Yoshitatsu Matsuda
Proceedings of the 85th National Convention of IPSJ, Feb. 2023

Linear Combination of Previous Evaluation Index in English-Japanese Machine Translation
Kazuki Nakaya; Taisuke Kawamata; Yoshitatsu Matsuda
言語処理学会第28回年次大会発表論文集, Mar. 2022

The Analysis of the Effects of First Personal Pronouns in Posted Contents of SNS by Latent Dirichlet Allocation
Takumi Matsuzawa; Taisuke Kawamata; Yoshitatsu Matsuda
Proceedings of the 84th National Convention of IPSJ, Mar. 2022

Analysis of Discarded Tiles in Mahjong by Sequential Pattern Mining
Kanichiro Sakaida; Taisuke Kawamata; Yoshitatsu Matsuda
Proceedings of the 84th National Convention of IPSJ, Feb. 2022

Automatic Determination of Attention Points in Lecture Videos Using Learners’ Face Images
Taisuke Kawamata; Takako Akakura
Proceedings of the IEICE General Conference, Feb. 2022
Lead

〔Major achievements〕Improved System for Identification of Live Music Performances by Dynamic Time Warping
Taisuke Kawamata; Ayami Honda; Yoshitatsu Matsuda
The journal of the Faculty of Science and Technology, Seikei University, Dec. 2021
Lead

Mental Fatigue Estimation Using Facial Images and Voice Frequency for Adaptive Online Service
Taisuke Kawamata; Takako Akakura
IEICE Technical Report, Nov. 2021
Lead

Analysis of chess player style by applying sequential;pattern mining;to chess game records
Masaharu Kobayashi; Taisuke Kawamata; Yoshitatsu Matsuda
Proceedings of the 83th National Convention of IPSJ, Feb. 2021

Student Authentication Model on Biometrics for Distance Learning School
Taisuke Kawamata
東京理科大学工学研究科経営工学専攻博士論文, 17 Mar. 2020
Lead

〔Major achievements〕Hybrid authentication model using handwritten images by Siamese Network and dynamic information
Daisuke Hayashi; Taisuke Kawamata; Toru Kano; Takako Akakura
IEICE Technical Report, Jan. 2020

Writing authentication model using MLP and SMOTE in Web-testing
Daisuke Hayashi; Taisuke Kawamata; Takako Akakura
IEICE Technical Report, Nov. 2019

Face authentication using sequential update of recognition probability for e-Testing
Taisuke Kawamata; Takako Akakura
IEICE 2019 General Conference Technical papers of annual meeting, Mar. 2019
Lead

Support System of Knowledge Acquisition about Patent Act based on the Problem Solving Process Model
Takako Akakura; Taisuke Kawamata; Koichiro Kato
電子情報通信学会2019年総合大会講演論文集, Mar. 2019

Proposal for Writing Authentication Method Using Machine Learning on Web Testing
Daisuke Hayashi; Taisuke Kawamata; Takako Akakura
電子情報通信学会2019年総合大会講演論文集, Mar. 2019

Development of a Learning Support System for the Education of Test Theory
Taisuke Kawamata; Kazashi Fujita; Takako Akakura
IEICE Technical Report, Feb. 2019
Lead

Discussion of a facial authentication method using estimation of time series facial image in e-Testing
Taisuke Kawamata; Takako Akakura
IEICE Technical Report, Nov. 2018
Lead

Examinee authentication for e-Testing using facial images taking e-Learning
Taisuke Kawamata; Takako Akakura
電子情報通信学会2018年総合大会講演論文集, Mar. 2018
Lead

Examination of a text-independent authentication using character image for e-Testing
Taisuke Kawamata; Sota Shimizu; Takako Akakura
IEICE Technical Report, Feb. 2018
Lead

Detection of Examinee Exchanging during e-Testing Using Frontal Images
Taisuke Kawamata; Takako Akakura
IEICE Technical Report, Nov. 2017
Lead

Analysis of authentication accuracy on face and sub-stroke for impersonation prevention in e-Testing
Taisuke Kawamata; Takatoshi Ishii; Takako Akakura
第16回情報科学技術フォーラム講演論文集, Sep. 2017
Lead

e-Testingにおける筆記情報と顔の正面画像との関連性の分析　　　　　　　　　　　　　　　
川又 泰介; 赤倉 貴子
日本教育工学会第33回全国大会講演論文集, Sep. 2017
Lead

知的財産法学習時における知識獲得プロセスと学習支援システム利用状況の関係分析
赤倉 貴子; 川又 泰介; 加藤 浩一郎
日本知的資産経営学会第6回研究年次大会報告要旨集, Sep. 2017

ARCS-Vモデルを用いた特許法学習システム
東本 崇仁; 川又 泰介; 赤倉 貴子
日本知的資産経営学会第6回研究年次大会報告要旨集, Sep. 2017

Sub-Stroke Method Using Arc Pattern for Examinee Authentication on e-Testing
Taisuke Kawamata; Takatoshi Ishii; Takako Akakura
IEICE Technical Report, May 2017
Lead

e-Testingにおける受験者の姿勢変動に頑健な顔認証法の検討
川又 泰介; 石井 隆稔; 赤倉 貴子
電子情報通信学会2017年総合大会学生ポスターセッション, Mar. 2017
Lead

Proposal of student authentication using face images for e-Learning　　　　　　　　　　　　　　　
Taisuke Kawamata
Tokyo University of Science, Graduate School of Engineering, Master's Thesis, Feb. 2017
Lead

Authentication with using face image for preventing spoofing on e-Learning / e-Testing
赤倉 貴子; 川又 泰介
画像ラボ, Oct. 2016
Last

Face Authentication Using Maximum Value of Time Series Similarity on e L earning　　　　　　　　　　　　　　　
Taisuke Kawamata; Takatoshi Ishii; Takako Akakura
日本教育工学会第32回全国大会, Sep. 2016
Lead

Probabilistic Authentication Using Sequential Face Similarity Data in E-learning
Taisuke Kawamata; Takatoshi Ishii; Takako Akakura
Forum on Information technology, Sep. 2016
Lead

Effect of teaching behavior on face authentication in e-Learning
Taisuke Kawamata; Susumu Fujimori; Takako Akakura
Proceedings of the IEICE General Conference, Mar. 2016
Lead

Student authentication by the weighted updates of registered face information in e-Learning
Taisuke Kawamata; Takatoshi Ishii; Takako Akakura
IEICE Technical Report, Feb. 2016
Lead

A study of various sequential update method for face authentication in e-Learning system
Taisuke Kawamata; Susumu Fujimori; Takako Akakura
IEICE Technical Report, Nov. 2015
Lead

Proposal of face authentication method utilizing the timing of student’s operation in e-Learning system　　　　　　　　　　　　　　　
Taisuke Kawamata; Susumu Fujimori; Takako Akakura
日本教育工学会第31回全国大会講演論文集, Sep. 2015
Lead

Real-time face authentication by sequential update of student's information registered in e-Learning system
Taisuke Kawamata; Susumu Fujimori; Takako Akakura
IEICE Technical Report, Sep. 2015
Lead

e-Testingにおける受験者の姿勢変化が顔認証に及ぼす影響の調査
川又 泰介; 東本 崇仁; 赤倉 貴子
電子情報通信学会総合大会情報・システムソサイエティ特別企画学生ポスターセッション予稿集, Mar. 2015
Lead

抽象性の高い教授スキルを具体的教授行動とするプロセスとその評価
今野 雄太; 川又 泰介
東京理科大学工学部二部経営工学科学士論文, Jan. 2014
Lead

〔Major achievements〕A Teacher Organization Map with Pooling SOM for Writer Verification in Online Examination
Taisuke Kawamata; Takako Akakura
2025 IEEE Global Conference on Consumer Electronics (GCCE2025), 25 Sep. 2025, IEEE
20250923, 20250926

〔Major achievements〕Writer Verification Using Cluster Search Trees for e-Testing
Taisuke Kawamata; Takako Akakura
2024 IEEE Global Conference on Consumer Electronics (GCCE2024), 29 Oct. 2024, IEEE
20241029, 20241101

〔Major achievements〕Writer Alternation Detection by Sequential Hotelling's Theory for e-Testing
Taisuke Kawamata; Takako Akakura
2023 IEEE Global Conference on Consumer Electronics (GCCE2023), 10 Oct. 2023, IEEE
20231010, 20231013

Writer Alternation Detection by Sequential Hotelling's T2 for Online Exam with Digital Pen
Taisuke Kawamata; Takako Akakura
The IEICE General Conference, 07 Mar. 2023, The Institute of Electronics, Information and Communication Engineers
20230307, 20230307

Writer Alternation Detection for Online Exam by Exponential Moving PCA
Taisuke Kawamata; Takako Akakura
2022 IEEE Global Conference on Consumer Electronics (GCCE2022), 18 Oct. 2022, IEEE
20221017, 20221020

Automatic Detection of Attention Points in Lecture Videos Using Learners’ Face Images
Taisuke Kawamata; Takako Akakura
電子情報通信学会総合大会, 17 Mar. 2022, ieice
20220315, 20220318

狭隘空間におけるQOL向上のための生体情報を用いた疲労推定方法に関する検討
赤倉貴子; 川又泰介
スペースシステム創造研究センター 第3回宇宙シンポジウム, 10 Mar. 2022, 東京理科大学

〔Major achievements〕Automatic Evaluation of Learning Behaviors for Online Lectures by OpenPose
Taisuke Kawamata; Takako Akakura
2022 IEEE Global Conference on Life Sciences and Technologies (LifeTech2022), 08 Mar. 2022, IEEE
20220307, 20220309

〔Major achievements〕Analysis of Computer Science Textbooks by Topic Modeling and Dynamic Time Warping
Taisuke Kawamata; Yoshitatsu Matsuda; Takayuki Sekiya; Kazunori Yamaguchi
2021 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE2021), 06 Dec. 2021, IEEE
20211205, 20211208

Mental Fatigue Estimation Using Facial Images and Voice Frequency for Adaptive Online Service
Taisuke Kawamata; Takako Akakura
電子情報通信学会ET研究会, 06 Nov. 2021, 電子情報通信学会教育工学研究会

Face Authentication for E-testing Using Sequential Reference Update　　　　　　　　　　　　　　　
Taisuke Kawamata; Takako Akakura
2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE2020), 09 Dec. 2020, IEEE
20201208, 20201210

Face authentication using sequential update of recognition probability for e-Testing
Taisuke Kawamata; Takako Akakura
電子情報通信学会2019年総合大会, 20 Mar. 2019
20190319, 20190322

Development of a Learning Support System for the Education of Test Theory
Taisuke Kawamata; Kazashi Fujita; Takako Akakura
IEICE ET, 15 Mar. 2019
20190315, 20190315

Development of A Learning Support System for Studying Intellectual Property Law Based on Representing Legal Statements as Logical Circuits
Takako Akakura; Taisuke Kawamata; Koichiro Kato
13th International Technology, Education and Development Conference (INTED 2019), 12 Mar. 2019
20190311, 20190313

RELEVANCE ANALYSIS OF CONTENTS TYPE AND FACE AUTHENTICATION FOR PREVENTING PLAGIARISM OF E-CONTENT
Taisuke Kawamata; Takako Akakura
13th International Technology, Education and Development Conference (INTED 2019), 12 Mar. 2019
20190311, 20190313

Development and Use of a Video On Demand e-Learning System with Logic Circuit Exercises for Teaching Intellectual Property Law　　　　　　　　　　　　　　　
Takako Akakura; Taisuke Kawamata; Koichiro Kato
2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE2018), 05 Dec. 2018
20181204, 20181207

Discussion of a facial authentication method using estimation of time series facial image in e-Testing
Taisuke Kawamata; Takako Akakura
IEICE ET, 03 Nov. 2018
20181103, 20181103

Development of a Learning Support System that Automatically Generates Solutions by Converting Legal Articles into Logical Expressions　　　　　　　　　　　　　　　
Takako Akakura; Taisuke Kawamata; Koichiro Kato
2018 IEEE 7th Global Conference on Consumer Electronics, 12 Oct. 2018
20181009, 20181012

Examinee authentication for e-Testing using facial images taking e-Learning
Taisuke Kawamata; Takako Akakura
電子情報通信学会2018年総合大会, 20 Mar. 2018
20180320, 20180323

Development of A Learning Support System for Studying Intellectual Property Law Based on Representing Legal Statements as Logical Circuits　　　　　　　　　　　　　　　
Takako Akakura; Taisuke Kawamata; Koichiro Kato
12th International Technology, Education and Development Conference (INTED 2018), 05 Mar. 2018
20180305, 20180307

Examination of a text-independent authentication using character image for e-Testing
Taisuke Kawamata; Sota Shimizu; Takako Akakura
IEICE ET, 03 Mar. 2018
20180303, 20180303

Development of a Blended Learning System for Engineering Students Studying Intellectual Property Law, and an Analysis of the Relationship between System Usage and the Knowledge Acquisition Process　　　　　　　　　　　　　　　
Takako Akakura; Taisuke Kawamata; Koichiro Kato
2017 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 13 Dec. 2017
20171212, 20171214

Examination of sub-stroke and face authentication for e-Testing　　　　　　　　　　　　　　　
Taisuke Kawamata; Takako Akakura
2017 IEEE Region 10 Conference (TENCON), 07 Nov. 2017
20171105, 20171108

Detection of Examinee Exchanging during e-Testing Using Frontal Images
Taisuke Kawamata; Takako Akakura
ET, 04 Nov. 2017
20171104, 20171104

e-Testingにおける筆記情報と顔の正面画像との関連性の分析
川又 泰介; 赤倉 貴子
日本教育工学会第33回全国大会, 16 Sep. 2017
20170915, 20170918

Analysis of authentication accuracy on face and sub-stroke for impersonation prevention in e-Testing
Taisuke Kawamata; Takatoshi Ishii; Takako Akakura
FIT2017, 14 Sep. 2017
20170912, 20170914

Sub-Stroke Method Using Arc Pattern for Examinee Authentication on e-Testing
Taisuke Kawamata; Takatoshi Ishii; Takako Akakura
IEICE ET, 27 May 2017
20170527, 20170527

e-Testingにおける受験者の姿勢変動に頑健な顔認証法の検討
川又 泰介; 石井 隆稔; 赤倉 貴子
電子情報通信学会2017年総合大会学生ポスターセッション, 23 Mar. 2017, 電子情報通信学会
20170320, 20170323

Face Authentication for e-Learning Using Time Series Information　　　　　　　　　　　　　　　
Taisuke Kawamata; Takatoshi Ishii; Takako Akakura
2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 08 Dec. 2016
20161207, 20161209

Student Authentication by Updated Facial Information with Weighting Coefficient in e-Learning　　　　　　　　　　　　　　　
Taisuke Kawamata; Takatoshi Ishii; Takako Akakura
2016 IEEE Region 10 Conference (TENCON), 23 Nov. 2016
20161122, 20161125

Face Authentication Using Maximum Value of Time Series Similarity on e L earning
Taisuke Kawamata; Takatoshi Ishii; Takako Akakura
日本教育工学会第32回全国大会, 19 Sep. 2016
20160917, 20160919

Probabilistic Authentication Using Sequential Face Similarity Data in E-learning
Taisuke Kawamata; Takatoshi Ishii; Takako Akakura
第15回情報科学技術フォーラム, 09 Sep. 2016
20160907, 20160909

Student Authentication Method by Sequential Update of Face Information Registered in e-Learning System
Taisuke Kawamata; Takatoshi Ishii; Takako Akakura
18th International Conference, HCI International 2016, 20 Jul. 2016
20160717, 20160722

Student Authentication Method by Update of Face Information in e-Learning System　　　　　　　　　　　　　　　
Taisuke Kawamata; Takatoshi Ishii; Takako Akakura
The 5th International Congress on Engineering and Information, 10 May 2016
20160510, 20160512

Effect of teaching behavior in e-Learning on face authentication
Taisuke Kawamata; Susumu Fujimori; Takako Akakura
電子情報通信学会2016年総合大会, 15 Mar. 2016
20160315, 20160318

Student authentication by the weighted updates of registered face information in e-Learning
Taisuke Kawamata; Susumu Fujimori; Takako Akakura
IEICE ET, 05 Mar. 2016
20160305, 20160305

A study of various sequential update method for face authentication in e-Learning system
Taisuke Kawamata; Susumu Fujimori; Takako Akakura
IEICE ET, 20 Nov. 2015
20151120, 20151120

Proposal of face authentication method utilizing the timing of student’s operation in e-Learning system
Taisuke Kawamata; Susumu Fujimori; Takako Akakura
日本教育工学会第31回全国大会, 22 Sep. 2015
20150921, 20150923

Real-time face authentication by sequential update of student's information registered in e-Learning system
Taisuke Kawamata; Susumu Fujimori; Takako Akakura
ET, 12 Sep. 2015
20150912, 20150912

e-Testingにおける受験者の姿勢変化が顔認証に及ぼす影響の調査
川又 泰介; 東本 崇仁; 赤倉 貴子
電子情報通信学会2015年総合大会学生ポスターセッション, 12 Mar. 2015, 電子情報通信学会
20150310, 20150313

抽象性の高い教授スキルを具体的教授行動とするプロセスとその評価
川又 泰介; 今野 雄太
東京理科大学工学部二部経営工学科卒業研究発表, 27 Jan. 2014
20140127, 20140127

〔Major achievements〕Introduction to Data Science & AI
Sep. 2024 - Mar. 2025
Ibaraki University

Sep. 2022 - Mar. 2023
成蹊大学

Sep. 2022 - Mar. 2023
成蹊大学

Sep. 2022 - Mar. 2023
成蹊大学

Mathematics for Information Processing　　　　　　　　　　　　　　　
Sep. 2022 - Mar. 2023
Tokyo Polytechnic University

〔Major achievements〕Software Engineering　　　　　　　　　　　　　　　
Sep. 2022 - Mar. 2023
Tokyo Polytechnic University

〔Major achievements〕Probability and Statistics
Sep. 2022 - Mar. 2023
Seikei University

Advanced programming experiment
Apr. 2020 - Mar. 2023
Seikei University

Apr. 2022 - Aug. 2022
成蹊大学

〔Major achievements〕Discrete Mathematics
Apr. 2021 - Aug. 2022
Seikei University

Advanced programming
Apr. 2020 - Mar. 2022
Seikei University

〔Major achievements〕Python Programming Laboratory
Apr. 2021 - Aug. 2021
Seikei University

〔Major achievements〕C++ Programing Laboratory I
Sep. 2020 - Mar. 2021
Seikei University

Oct. 2021 - Present, Information Processing Society of Japan

Jun. 2016 - Present, Japan Society for Educational Technology

Jan. 2015 - Present, The Institute of the Electronics, Information and Communication Engineers

Apr. 2018 - Apr. 2025, The Japan Intellectual Capital Management Association

Jun. 2024 - Mar. 2025, The Japanese Society for Artificial Intelligence

Nov. 2018 - Sep. 2024, Japanese Society for Engineering Education

Institution Basic Information
Taisuke Kawamata
Jan. 2024 - Present, Web service

Development of a Support System for Understanding Intra-university Research through Hierarchical Structuring of Research and Education Information
Grant-in-Aid for Research Activity start-up
Ibaraki University
Apr. 2026 - Mar. 2029

An automatic learning evaluation using tablet PCs in online lectures
Grant-in-Aid for Research Activity start-up
Seikei University
Apr. 2022 - Mar. 2026

Automatic learning evaluation for unsynchronized e-Learning
Grant-in-Aid for Research Activity start-up
Seikei University
Sep. 2020 - Mar. 2022

東京工芸大学 ＡＩモデルコンペで最優秀 他大学との教職協働チーム
東京工芸大学, タウンニュース, 26 Jul. 2024, Internet