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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
53
Citations
12355
World Ranking
4786
National Ranking
55

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Kaoru Hirota is affiliated with the Tokyo Institute of Technology in Japan, contributing to research across multiple intersecting fields of computer science, psychology, and engineering. Their work primarily focuses on computational methods related to emotion recognition, human-robot interaction, and pattern recognition technologies.

Their research spans several core fields of study:

  • Computer Science
  • Psychology
  • Engineering

Within these broad fields, they have engaged deeply with subfields including:

  • Computer Vision and Pattern Recognition
  • Experimental and Cognitive Psychology
  • Artificial Intelligence
  • Social Psychology
  • Human-Computer Interaction

The main research topics addressed by Kaoru Hirota include:

  • Emotion and Mood Recognition
  • Face and Expression Recognition
  • Human Pose and Action Recognition
  • Hand Gesture Recognition Systems
  • Robotic Path Planning Algorithms
  • Gait Recognition and Analysis
  • Social Robot Interaction and Human-Robot Interaction (HRI)

Frequent co-authors in their collaborative work include:

  • Luefeng Chen
  • Witold Pedrycz
  • Min Wu
  • Yaping Dai
  • Zhiyang Jia

Kaoru Hirota has published extensively in venues such as:

  • Journal of Advanced Computational Intelligence and Intelligent Informatics
  • IFAC-PapersOnLine
  • 2021 China Automation Congress (CAC)
  • 2022 41st Chinese Control Conference (CCC)
  • IEEE Transactions on Industrial Electronics

Selected recent publications showcase the focus of their research:

  • K-Means Clustering-Based Kernel Canonical Correlation Analysis for Multimodal Emotion Recognition in Human-Robot Interaction, 2022, IEEE Transactions on Industrial Electronics
  • A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods, 2023, Neurocomputing
  • Two-Stage Fuzzy Fusion Based-Convolution Neural Network for Dynamic Emotion Recognition, 2020, IEEE Transactions on Affective Computing
  • Coupled Multimodal Emotional Feature Analysis Based on Broad-Deep Fusion Networks in Human-Robot Interaction, 2023, IEEE Transactions on Neural Networks and Learning Systems
  • Path Planning Based on Improved Hybrid A*Algorithm, 2021, Journal of Advanced Computational Intelligence and Intelligent Informatics

Best Publications

  • A flexible representation of quantum images for polynomial preparation, image compression, and processing operations

    Phuc Q. Le;Fangyan Dong;Kaoru Hirota

  • Approximate reasoning by linear rule interpolation and general approximation

    LászlóT T. Kóczy;Kaoru Hirota

  • Granular prototyping in fuzzy clustering

    A. Bargiela;W. Pedrycz;K. Hirota

  • Interpolative reasoning with insufficient evidence in sparse fuzzy rule bases

    László T. Kóczy;Kaoru Hirota

  • Concepts of probabilistic sets

    Kaoru Hirota

  • Size reduction by interpolation in fuzzy rule bases

    L.T. Koczy;K. Hirota

  • Construction of fuzzy models through clustering techniques

    Y. Yoshinari;W. Pedrycz;K. Hirota

  • Watermarking and authentication of quantum images based on restricted geometric transformations

    Abdullah M. Iliyasu;Phuc Q. Le;Fangyan Dong;Kaoru Hirota

  • A Hu moment invariant as a shape circularity measure

    Joviša unić;Kaoru Hirota;Paul L. Rosin

  • An RGB Multi-Channel Representation for Images on Quantum Computers

    Bo Sun;Abdullah M. Iliyasu;Fei Yan;Fangyan Dong

  • Softmax regression based deep sparse autoencoder network for facial emotion recognition in human-robot interaction

    Luefeng Chen;Mengtian Zhou;Wanjuan Su;Min Wu

  • Design and implementation of a simple dynamical 4-D chaotic circuit with applications in image encryption

    Nestor Tsafack;Jacques Kengne;Bassem Abd-El-Atty;Abdullah M. Iliyasu;Abdullah M. Iliyasu;Abdullah M. Iliyasu

  • Ordering, distance and closeness of fuzzy sets

    László T. Kóczy;Kaoru Hirota

  • Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction

    Luefeng Chen;Wanjuan Su;Yu Feng;Min Wu

  • Strategies for designing geometric transformations on quantum images

    Phuc Q. Le;Abdullahi M. Iliyasu;Fangyan Dong;Kaoru Hirota

  • Anti-swing and positioning control of overhead traveling crane

    Jianqiang Yi;Naoyoshi Yubazaki;Kaoru Hirota

  • Fuzzy computing for data mining

    Unknown

  • Fast solving method of fuzzy relational equation and its application to lossy image compression/reconstruction

    H. Nobuhara;W. Pedrycz;K. Hirota

  • A Multi-Channel Representation for images on quantum computers using the RGBα color space

    Bo Sun;Phuc Q. Le;Abdullah M. Iliyasu;Fei Yan

  • A new fuzzy controller for stabilization of parallel-type double inverted pendulum system

    Jianqiang Yi;Naoyoshi Yubazaki;Kaoru Hirota

  • Upswing and stabilization control of inverted pendulum system based on the SIRMs dynamically connected fuzzy inference model

    Jianqiang Yi;Naoyoshi Yubazaki;Kaoru Hirota

  • Fuzzy relational compression

    K. Hirota;W. Pedrycz

  • Interactive Multiobjective Optimization: A Review of the State-of-the-Art

    Bin Xin;Lu Chen;Jie Chen;Hisao Ishibuchi

Frequent Co-Authors

Witold Pedrycz
Witold Pedrycz University of Alberta
Min Wu
Min Wu China University of Geosciences
Jianqiang Yi
Jianqiang Yi Chinese Academy of Sciences
Abdullah M. Iliyasu
Abdullah M. Iliyasu Prince Sattam Bin Abdulaziz University
Jinhua She
Jinhua She Tokyo University of Technology
Toshio Fukuda
Toshio Fukuda Nagoya University
Ahmed A. Abd El-Latif
Ahmed A. Abd El-Latif Menoufia University
Michio Sugeno
Michio Sugeno Tokyo Institute of Technology
Nikola Kasabov
Nikola Kasabov Auckland University of Technology
Michael Negnevitsky
Michael Negnevitsky University of Tasmania

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