KIKUCHI Ryota

写真a

Affiliation

Faculty of Informatics and Data Science  Department of Informatics and Data Science 

Graduating School 【 display / non-display 】

  • 2017.04
    -
    2021.03

    Akita University   Faculty of Science and Engineering   Department of Integrated Engineering Science   Graduated

Graduate School 【 display / non-display 】

  • 2023.04
    -
    2026.03

    Akita University  Graduate School, Division of Science and Engineering  Doctor's Degree Program  Completed

  • 2021.04
    -
    2023.03

    Akita University  Graduate School, Division of Science and Engineering  Master's Degree Program  Completed

Campus Career 【 display / non-display 】

  • 2026.04
    -
    Now

    Akita University   Faculty of Informatics and Data Science   Department of Informatics and Data Science   Assistant Professor  

  • 2025.04
    -
    2026.03

    Akita University   Faculty of Informatics and Data Science   Department of Informatics and Data Science   Technical Staff  

 

Thesis for a degree 【 display / non-display 】

  • Emotion estimation system for older adults during eSports: A study on feature analysis of facial color changes and estimation of emotional arousal intervals based on facial skin temperature and body movement

    菊地亮太 

      2026.03

    Single author

Research Achievements 【 display / non-display 】

    ◆Original paper【 display / non-display 】

  • Emotion Recognition Using Temporal Facial Skin Temperature and Eye-Opening Degree During Digital Content Viewing for Japanese Older Adults

    Tanabe R.

    Sensors ( Sensors )  25 ( 21 )   2025.11  [Refereed]

    Research paper (journal)   Domestic Co-author

    DOI

  • ESTIMATION OF EMOTIONAL AROUSAL IN OLDER ADULTS DURING ESPORTS: A MACHINE LEARNING APPROACH FOCUSED ON FACIAL SKIN TEMPERATURE AND BODY MOVEMENT CHANGES

    Kikuchi R.

    International Journal of Innovative Computing Information and Control ( International Journal of Innovative Computing Information and Control )  21 ( 5 ) 1167 - 1185   2025.10  [Refereed]

    Research paper (journal)   Domestic Co-author

    DOI

  • Feature Analysis of Facial Color Information During Emotional Arousal in Japanese Older Adults Playing eSports

    Kikuchi R.

    Sensors ( Sensors )  25 ( 18 )   2025.09  [Refereed]

    Research paper (journal)   Domestic Co-author

    DOI

  • ◆Other【 display / non-display 】

  • Estimation of Positive and Negative Emotional States Based on Facial Skin Temperature and Body Movements in Japanese Older Adults while Playing eSports

    KIKUCHI Ryota, ENDO Yu, SUEHIRO Kenji, TAKAHASHI Nobuaki, SAITO Hiroki, KOBAYASHI Takuya, SATAKE Hisami, SATO Naoko, KAGEYAMA Yoichi

    International Journal of the Society of Materials Engineering for Resources ( 日本素材物性学会 )  advpub ( 0 )   2026

    <p><font face="roman">ABSTRACT</font> <font face="roman">Our research group previously developed a system for estimating emotions elicited during eSports gameplay. Specifically, a method was developed to estimate the timing of emotional arousal intervals by focusing on facial skin temperature and body movements, both of which can be obtained in a non-contact manner. However, identifying only when emotions occur is insufficient for understanding changes in participants’ emotional states during gameplay. As a next step, it is necessary to identify the type of emotion experienced. Therefore, this study investigates the feasibility of estimating emotional states based on facial skin temperature and body movements during eSports gameplay. Although a variety of emotions may arise during gameplay, this study focuses on a preliminary binary classification problem in which emotions are categorized as positive or negative. A machine-learning model capable of performing this binary classification was developed and evaluated. Experimental results demonstrated that positive and negative emotional states were estimated with accuracies of approximately 60% and 70%, respectively. These findings suggest that the proposed method can distinguish between positive and negative emotions elicited during eSports gameplay. Furthermore, because the proposed method is based on physiological changes in humans, it may be capable of estimating emotional states that cannot be adequately captured using facial expressions alone.</font></p>

    DOI CiNii Research

  • Emotion Classification Methods for Older Adults while Playing eSports

    Kikuchi Ryota, Shirai Hikaru, Ishizawa Chikako, Suehiro Kenji, Takahashi Nobuaki, Saito Hiroaki, Kobayashi Takuya, Satake Hisami, Sato Naoko, Kageyama Yoichi

    Proceedings of IIAE Annual Conference ( The Institute of Industrial Applications Engineers )  2025 ( 0 ) 15 - 16   2025

    DOI CiNii Research

  • Emotion-arousal Interval Estimation Based on Cheeksaturation Changes in Older Adults Playing eSports

    Kikuchi Ryota, Kageyamaa Yoichi, Shirai Hikaru, Ishizawa Chikako, Suehiro Kenji, Takahashi Nobuaki, Saito Hiroki, Kobayashi Takuya, Watanabe Fumito, Satake Hisami, Sato Naoko

    Proceedings of IIAE Annual Conference ( The Institute of Industrial Applications Engineers )  2024 ( 0 ) 13 - 14   2024

    DOI CiNii Research

  • Feature Selection for Emotion Estimation using Time-Series Facial Skin Temperature and Eye Opening Degree

    Tanabe Rio, Kikuchi Ryota, Zou Min, Kageyama Yoichi, Suehiro Kenji, Takahashi Nobuaki, Saito Hiroki, Kobayashi Takuya, Watanabe Fumito, Satake Hisami, Sato Naoko

    Proceedings of IIAE Annual Conference ( The Institute of Industrial Applications Engineers )  2024 ( 0 ) 11 - 12   2024

    DOI CiNii Research

  • Emotional Arousal Intervals Estimation Method for Older Adults Playing eSports by Focusing on Cheek Saturation

    Kikuchi Ryota, Kageyama Yoichi, Shirai Hikaru, Ishizawa Chikako, Suehiro Kenji, Takahashi Nobuaki, Saito Hiroki, Kobayashi Takuya, Watanabe Fumito, Satake Hisami, Sato Naoko

    Proceedings of IIAE Annual Conference ( The Institute of Industrial Applications Engineers )  2023 ( 0 ) 59 - 60   2023

    With the recent emergence of a super-aging society, extending the healthy life expectancy of older adults has become increasingly important. Dementia has been reported to hinder the extension of healthy life expectancy. Electronic sports (eSports) have recently attracted wide attention to prevent dementia. People experience various emotions while playing eSports. The quantification of these emotions indicates the extent to which they enjoy playing eSports. This indicator can be used to evaluate eSports activities. We propose a method to estimate when emotions occur while playing eSports with the aim of creating a quantitative index to determine people's emotions while playing eSports. Consequently, we determined the possibility of estimating emotional arousal intervals by examining the changes in the saturation of the cheeks using machine learning.

    DOI CiNii Research

Presentations 【 display / non-display 】

  • Study of Emotion Classification Methods Focusing on Facial Skin Temperature and Body Movements in Older Adults when Playing eSports

    Ryota KIKUCHI

    The 10th International Conference on Materials Engineering for Resources  2025.10  -  2025.10 

  • Emotion Classification Methods for Older Adults while Playing eSports

    Ryota KIKUCHI

    The 12th IIAE International Conference on Intelligent Systems and Image Processing 2025  2025.09  -  2025.09 

  • Emotion Classification Methods for Older Adults while Playing eSports

    Ishizawa Chikako, Takahashi Nobuaki, Suehiro Kenji, Kikuchi Ryota, Shirai Hikaru, Saito Hiroaki, Kobayashi Takuya, Satake Hisami, Sato Naoko, Kageyama Yoichi

    Proceedings of IIAE Annual Conference  2025  -  2025  The Institute of Industrial Applications Engineers

    DOI

  • Emotion-arousal Interval Estimation Based on Cheek-saturation Changes in Older Adults Playing eSports

    Ryota KIKUCHI

    The 11th IIAE International Conference on Intelligent Systems and Image Processing 2024  2024.09  -  2024.09 

  • Feature Selection for Emotion Estimation using Time-Series Facial Skin Temperature and Eye Opening Degree

    Tanabe Rio, Kikuchi Ryota, Zou Min, Suehiro Kenji, Kageyama Yoichi, Takahashi Nobuaki, Saito Hiroki, Watanabe Fumito, Kobayashi Takuya, Sato Naoko, Satake Hisami

    Proceedings of IIAE Annual Conference  2024  -  2024  The Institute of Industrial Applications Engineers

    DOI

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