CHEN PEIJI
| Department of Mechanical and Intelligent Systems Engineering | Assistant Professor |
| Cluster II (Emerging Multi-interdisciplinary Engineering) | Assistant Professor |
Researcher Information
Field Of Study
Educational Background
- Oct. 2021 - Sep. 2024
The University of Electro-Communications, Graduate School of Informatics and Engineering, Department of Mechanical and Intelligent Systems Engineering - Sep. 2018 - Mar. 2021
Tianjin University of Technology, 大学院電気・電子工学研究科, 制御科学・工学専攻, China - Sep. 2014 - Jun. 2018
Tianjin University of Technology, 自動化学部, 自動化学科, China
Research Activity Information
Award
- Jun. 2025
IEEE UR 2025 Program Committee
A Framework for 3D Ultrasound Reconstruction Using Robotic Ultrasound Diagnostic System
Finalists for the Best Conference Paper Award of IEEE UR 2025, Jiayi Zhou;Norihiro Koizumi;Yu Nishiyama;Peiji Chen;Kazushi Numata - Jun. 2025
IEEE UR 2025 Program Committee
A Framework for 3D Ultrasound Reconstruction Using Robotic Ultrasound Diagnostic System
Finalists for the Best Application Paper Award of IEEE UR 2025, Jiayi Zhou;Norihiro Koizumi;Yu Nishiyama;Peiji Chen;Kazushi Numata
Paper
- UFNet: A unified filter neural network for biosignal analysis across time, frequency, and time-frequency domains
Peiji Chen; Yiwei Wang; Norihiro Koizumi; Hiroshi Yokoi; Yinlai Jiang
Lead, Neurocomputing, Elsevier BV, 666, 132265-132265, Feb. 2026, Peer-reviwed
Scientific journal - A Coupled Tendon-Driven Modular Robotic Hand for Dexterous Manipulation
Peiji Chen; Yiwei Wang; Tianyu Ouyang; Norihiro Koizumi; Hiroshi Yokoi; Yinlai Jiang
Lead, IEEE Robotics and Automation Letters, Institute of Electrical and Electronics Engineers (IEEE), 11, 1, 338-345, Jan. 2026, Peer-reviwed
Scientific journal - A novel gravity compensation mechanism for orthogonal DoFs with coupled springs
Yiwei Wang; Peiji Chen; Shunta Togo; Hiroshi Yokoi; Yinlai Jiang
Mechanism and Machine Theory, Elsevier BV, 216, 106220-106220, Nov. 2025, Peer-reviwed
Scientific journal - Development of a Compact Single-Channel Wristband EMG Sensor System for Hand Gesture Recognition
Peiji Chen; Yifan Tang; Yiwei Wang; Norihiro Koizumi; Feng Duan; Hiroshi Yokoi; Yinlai Jiang
Lead, 2025 IEEE International Conference on Cyborg and Bionic Systems (CBS), IEEE, 285-290, 17 Oct. 2025, Peer-reviwed
International conference proceedings - FESNet: A Fine-Grained EMG Segmentation Network for Enhanced Finger Movement Analysis
Dian Li; Peiji Chen; Shunta Togo; Hiroshi Yokoi; Yinlai Jiang
2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, 4597-4602, 05 Oct. 2025, Peer-reviwed
International conference proceedings - TF2AngleNet: Continuous finger joint angle estimation based on multidimensional time–frequency features of sEMG signals
Hai Jiang; Yusuke Yamanoi; Peiji Chen; Xin Wang; Shixiong Chen; Xu Yong; Guanglin Li; Hiroshi Yokoi; Xiaobei Jing
Biomedical Signal Processing and Control, Elsevier BV, 107, 107833-107833, Sep. 2025, Peer-reviwed
Scientific journal - A Data Augmentation Method for sEMG Signals Based on CWGAN-GP Utilizing Multi-scale Feature Fusion Attention Mechanism
Chenxi Zhu; Peiji Chen; Yifan Tang; Chenbo Chen; Jiaqi Li; Tiejun Zhou; Yinlai Jiang
2025 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), IEEE, 1-6, 14 Jul. 2025, Peer-reviwed
International conference proceedings - Advanced Data Augmentation Techniques for Biosignal Processing in Online Systems
Peiji Chen; Yifan Tang; Dian Li; Hai Jiang; Shunta Togo; Hiroshi Yokoi; Yinlai Jiang
Lead, 2025 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), IEEE, 1-5, 14 Jul. 2025, Peer-reviwed
International conference proceedings - 3D Reconstruction of the Kidney and Lesions from 2D Ultrasound Images Using Robotic Ultrasound Diagnostic System
Jiayi. Zhou; Norihiro. Koizumi; Yu. Nishiyama; Peiji. Chen; Kazushi Numata
Proceedings of the 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 14 Jul. 2025, Peer-reviwed - A Framework for 3D Ultrasound Reconstruction Using Robotic Ultrasound Diagnostic System
Jiayi Zhou; Norihiro Koizumi; Yu Nishiyama; Peiji Chen; Kazushi Numata
2025 22nd International Conference on Ubiquitous Robots (UR), IEEE, 542-549, 30 Jun. 2025, Peer-reviwed
International conference proceedings - Deep learning-based image registration method for RFA treatment efficacy evaluation without magnetic sensors
R. Kasagi; N. Koizumi; P. Chen; N. Umetsu; K. Numata
Proc. of 39th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2025), International Journal of Computer Assisted Radiology and Surgery (IJCARS), 20 Jun. 2025, Peer-reviwed - Inferior Vena Cava Diameter Measurement System Using Ultrasound and Deep Learning
N. Umetsu; H. Noro; P. Chen; Y. Nishiyama; R. Kasagi; H. Tsukihara; N. Koizumi
Proc. of 39th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2025), International Journal of Computer Assisted Radiology and Surgery (IJCARS), 19 Jun. 2025, Peer-reviwed - Automated MRI-TRUS fusion imaging using the prostate edge
A. Endo; N. Koizumi; Y. Nisiyama; P. Chen; G. Karakida; M. Annju; S. Shoji
Proc. pf 39th International Congress and Exhibition on computer assisted radiology and surgery (CARS 2025), International Journal of Computer Assisted Radiology and Surgery (IJCARS), 19 Jun. 2025, Peer-reviwed - Binary Classification of Liver Sides Roughness in Ultrasound Images Using Transformer and CNN Models with StyleGAN3 Data Augmentation
I. Fujii; N. Koizumi; N. Matsumoto; Y. Nishiyama; R. Kasagi; P. Chen; M. Ogawa
18 Jun. 2025, Peer-reviwed - 超音波診断ロボットによる下大静脈径の自動計測システム
梅津菜央; 小泉憲裕; 笠置 陸; 西山 悠; 陳 培基; 月原弘之
超音波医学, May 2025, Peer-reviwed - 深層学習を活用した肝静脈血管壁の不整の有無の分類
旭 和哉; 小泉憲裕; 陳 培基; 西山 悠; 松本直樹; 増崎亮太; 藤井 樹; 小川眞広
超音波医学, May 2025, Peer-reviwed - 肝腫瘍RFA 治療効果判定における深層学習を用いた新規画像位置合わせ手法
笠置 陸; 小泉憲裕; Peiji Chen; 梅津菜央; 沼田和司
超音波医学, May 2025, Peer-reviwed - Intra- and inter-channel deep convolutional neural network with dynamic label smoothing for multichannel biosignal analysis
Peiji Chen; Wenyang Li; Yifan Tang; Shunta Togo; Hiroshi Yokoi; Yinlai Jiang
Lead, Neural Networks, Elsevier BV, 183, 106960-106960, Mar. 2025, Peer-reviwed
Scientific journal - TMATH A Dataset for Evaluating Large Language Models in Generating Educational Hints for Math Word Problems
Changyong Qi; Yuang Wei; Haoxin Xu; Longwei Zheng; Peiji Chen; Xiaoqing Gu
Jan. 2025, Peer-reviwed - EduDCM: A Novel Framework for Automatic Educational Dialogue Classification Dataset Construction via Distant Supervision and Large Language Models
Changyong Qi; Longwei Zheng; Yuang Wei; Haoxin Xu; Peiji Chen; Xiaoqing Gu
Applied Sciences, MDPI AG, 15, 1, 154-154, 27 Dec. 2024, Peer-reviwed, Educational dialogue classification is a critical task for analyzing classroom interactions and fostering effective teaching strategies. However, the scarcity of annotated data and the high cost of manual labeling pose significant challenges, especially in low-resource educational contexts. This article presents the EduDCM framework for the first time, offering an original approach to addressing these challenges. EduDCM innovatively integrates distant supervision with the capabilities of Large Language Models (LLMs) to automate the construction of high-quality educational dialogue classification datasets. EduDCM reduces the noise typically associated with distant supervision by leveraging LLMs for context-aware label generation and incorporating heuristic alignment techniques. To validate the framework, we constructed the EduTalk dataset, encompassing diverse classroom dialogues labeled with pedagogical categories. Extensive experiments on EduTalk and publicly available datasets, combined with expert evaluations, confirm the superior quality of EduDCM-generated datasets. Models trained on EduDCM data achieved a performance comparable to that of manually annotated datasets. Expert evaluations using a 5-point Likert scale show that EduDCM outperforms Template-Based Generation and Few-Shot GPT in terms of annotation accuracy, category coverage, and consistency. These findings emphasize EduDCM’s novelty and its effectiveness in generating high-quality, scalable datasets for low-resource educational NLP tasks, thus reducing manual annotation efforts.
Scientific journal - Postural Synergy Analysis of Continuous Hand Movements for Application to Prosthetic Hands
Hai Jiang; Yusuke Yamanoi; Peiji Chen; Xu Yong; Guanglin Li; Hiroshi Yokoi; Xiaobei Jing
2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), IEEE, 1-6, 26 Oct. 2024
International conference proceedings - Analysis of Typical Features Using an Angle-to-sEMG Decoder Model
Zehao Liu; Hai Jiang; Yusuke Yamanoi; Peiji Chen; Xiaobei Jing; Guanglin Li; Hiroshi Yokoi; Xu Yong
2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), IEEE, 1-6, 26 Oct. 2024
International conference proceedings - Dynamic Label Smoothing Strategy for Biosignal Classification
Peiji Chen; Dian Li; Yifan Tang; Shunta Togo; Hiroshi Yokoi; Yinlai Jiang
Lead, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 1556-1560, 14 Apr. 2024, Peer-reviwed
International conference proceedings - An Exploratory Study on the Transmission of Language Memes: The Case of Chinese Language Memes
Fei Wang; Pei-ji Chen; Wen-yang Li; Hiroshi Yokoi
Journal of Creative Communications, SAGE Publications, 19, 3, 276-294, 18 Feb. 2024, Peer-reviwed, We did an exploratory investigation of the transmission of language memes using the meme concept. Using 62 Chinese language memes as an example, we mined the emotions of netizens’ posts containing these languages on Weibo, a Chinese social platform and successfully demonstrated language memes’ potential for eliciting both positive and negative emotions. By comparing the features of emotional changes with the features of the four different language meme transmission processes (bursty, continuous expansion, continuous decline and steady) classified in this study, the results of correlation analysis objectively illustrate the existed connection between emotion and language meme transmission. Specifically, we discovered that the positive emotion ‘good’ and the negative emotion ‘disgust’ are the most obvious emotions elicited by language memes. Additionally, 79% of language memes’ transmission processes were correlated with emotions (positive or negative). And most language memes’ transmission process belongs to the bursty type, especially the latency → burst mode.
Scientific journal - A Strain Gauge Based FMG Sensor for sEMG-FMG Dual Modal Measurement of Muscle Activity Associated with Hand Gestures
Yifan Tang; Jiayi Wang; Peiji Chen; Wenyang Li; Haokang Xu; Shunta Togo; Hiroshi Yokoi; Yinlai Jiang
Lecture Notes in Computer Science, Springer Nature Singapore, 185-194, 10 Oct. 2023, Peer-reviwed
In book - A Layered sEMG–FMG Hybrid Sensor for Hand Motion Recognition From Forearm Muscle Activities
Peiji Chen; Ziye Li; Shunta Togo; Hiroshi Yokoi; Yinlai Jiang
Lead, IEEE Transactions on Human-Machine Systems, Institute of Electrical and Electronics Engineers (IEEE), 53, 5, 935-944, Oct. 2023, Peer-reviwed
Scientific journal - Conditional Generative Adversarial Network-based Finger Position Estimation for Controlling Multi-Degrees-of-Freedom Myoelectric Prosthetic Hands
Hai Jiang; Yusuke Yamanoi; Yuki Kuroda; Peiji Chen; Shunta Togo; Yinlai Jiang; Hiroshi Yokoi
2022 IEEE International Conference on Cyborg and Bionic Systems (CBS), IEEE, 444-449, 24 Mar. 2023, Peer-reviwed
International conference proceedings - An improved multi-input deep convolutional neural network for automatic emotion recognition
Peiji Chen; Bochao Zou; Abdelkader Nasreddine Belkacem; Xiangwen Lyu; Xixi Zhao; Weibo Yi; Zhaoyang Huang; Jun Liang; Chao Chen
Lead, Frontiers in Neuroscience, Frontiers Media SA, 16, 04 Oct. 2022, Peer-reviwed, Current decoding algorithms based on a one-dimensional (1D) convolutional neural network (CNN) have shown effectiveness in the automatic recognition of emotional tasks using physiological signals. However, these recognition models usually take a single modal of physiological signal as input, and the inter-correlates between different modalities of physiological signals are completely ignored, which could be an important source of information for emotion recognition. Therefore, a complete end-to-end multi-input deep convolutional neural network (MI-DCNN) structure was designed in this study. The newly designed 1D-CNN structure can take full advantage of multi-modal physiological signals and automatically complete the process from feature extraction to emotion classification simultaneously. To evaluate the effectiveness of the proposed model, we designed an emotion elicitation experiment and collected a total of 52 participants' physiological signals including electrocardiography (ECG), electrodermal activity (EDA), and respiratory activity (RSP) while watching emotion elicitation videos. Subsequently, traditional machine learning methods were applied as baseline comparisons; for arousal, the baseline accuracy and f1-score of our dataset were 62.9 ± 0.9% and 0.628 ± 0.01, respectively; for valence, the baseline accuracy and f1-score of our dataset were 60.3 ± 0.8% and 0.600 ± 0.01, respectively. Differences between the MI-DCNN and single-input DCNN were also compared, and the proposed method was verified on two public datasets (DEAP and DREAMER) as well as our dataset. The computing results in our dataset showed a significant improvement in both tasks compared to traditional machine learning methods (t-test, arousal: p = 9.7E-03 < 0.01, valence: 6.5E-03 < 0.01), which demonstrated the strength of introducing a multi-input convolutional neural network for emotion recognition based on multi-modal physiological signals.
Scientific journal - Neural activities classification of left and right finger gestures during motor execution and motor imagery
Chao Chen; Peiji Chen; Abdelkader Nasreddine Belkacem; Lin Lu; Rui Xu; Wenjun Tan; Penghai Li; Qiang Gao; Duk Shin; Changming Wang; Dong Ming
Brain-Computer Interfaces, Informa UK Limited, 8, 4, 117-127, 02 Jul. 2020, Peer-reviwed
Scientific journal
Lectures, oral presentations, etc.
- 回帰的推定モデルを用いた筋電義手のリアルタイム制御手法の開発
Jiang Hai; 山野井 佑介; Chen Peiji; 井上 祐希; 辻本 立樹; 横井 浩史
日本機械学会 2025年度年次大会
09 Sep. 2025 - 2自由度ワイヤ干渉駆動指モジュール を用いたロボットハンドの開発
陳培基; 王 軼煒; 小泉憲裕; 横井浩史; 姜銀来
第 43 回日本ロボット学会学術講演会, Peer-reviewed
Sep. 2025 - Dynamic Label Smoothingを用いた生体信号分類のための領域汎化，
陳培基; 東郷俊太; 横井浩史; 姜銀来
第41回日本ロボット学会学術講演会
Sep. 2023 - 半自動義手制御のためのオンチップ筋電解析システムの開発
湯 一凡; 陳 培基; 東郷 俊太; 横井 浩史; 姜 銀来
第45回バイオメカニズム学術講演会 2024年12月
