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  2. Kota Itoda

Kota Itoda

  (糸田 孝太)

Profile Information

Affiliation
Assistant Professor, Musashino University
J-GLOBAL ID
202101005466183178
researchmap Member ID
R000027206

Research Areas

 1

Papers

 8
  • Kota Itoda, Norifumi Watanabe
    Nov, 2024  Lead author
  • Motokazu Moritani, Norifumi Watanabe, Kensuke Miyamoto, Kota Itoda, Junya Imani, Hiroyuki Aoyama, Yoshiyasu Takefuji
    Applied Sciences (Switzerland), 10(13), Jul 1, 2020  
    Recent indoor air quality studies show that even 1000 parts per million (ppm) concentration of Carbon Dioxide (CO2) has an adverse effect on human intellectual activities. Therefore, it is required to keep the CO2 concentration below a certain value in a room. In this study, in order to analyze the diffusion tendency of carbon dioxide by breathing, we constructed a simultaneous multi-point sensing system equipped with a carbon dioxide concentration sensor to measure indoor environment. Furthermore, it was evaluated whether the prediction model can be effectively used by comparing the prediction value by the model and the actually measured value from the sensor. The experimental results showed that CO2 by exhaled breathing diffuses evenly throughout the room regardless of the sensor's relative positions to the human test subjects. The existing model is sufficiently accurate in a room which has above at least a 0.67 cycle/h ventilation cycle. However, there is a large gap between the measured and the model's predicted values in a room with a low ventilation cycle, and that suggests a measurement with a sensor still is necessary to precisely monitor the indoor air quality.
  • Norifumi Watanabe, Kota Itoda
    Advances in Intelligent Systems and Computing, 947, Jul, 2019  
  • Norifumi Watanabe, Kota Itoda
    Advances in Intelligent Systems and Computing, 848 326-333, 2019  
    In a goal type ball game such as soccer and handball, a plurality of players who can pass are searched for, and each player’s intention is estimated and a player who can pass is selected. Furthermore, the ball holder checks the position and behavior of enemies around passable players, estimates their intentions, and determines teammate players whose pass is most successful. In order to realize instantaneous intention estimation and judgment subject to be strong temporal and spatial constraints, cooperative patterns shared within the group are considered to exist. Therefore, in this research, we focus on human gaze behaviors in goal type ball game. We presented to subjects a first-person perspective of professional soccer players by using virtual environment, and analyzed the gaze behaviors during pre- and post-training for constructing cooperative pattern modeling. Based on the results, we model a process of intention estimation concerning cooperative pattern. We discuss that subjects switch their behavior by estimating the intention of other players by presenting the visual information based on the first-person perspective.
  • Motokazu Moritani, Norifumi Watanabe, Junya Imani, Kota Itoda, Hiroyuki Aoyama, Yoshiyasu Takefuji
    IEEE International Conference on Systems, Man, and Cybernetics(SMC), 2382-2387, 2018  
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Misc.

 26
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Presentations

 23
  • 糸田孝太, 渡邊紀文
    ファジィシステムシンポジウム講演論文集(CD-ROM), 2023, Japan Society for Fuzzy Theory and Intelligent Informatics
    Understanding of human flexible cooperative behavior is important for making social agents and robots, and also construction of cooperative models and simulations are significant for constructive understanding of human group behavior. We have analyzed human group behavior including intention inference in groups and modeled their action selection process using cooperative pattern task so far. As a result, while some methods of intention inferencing and differences of roles in the groups have been revealed, subjects’ behaviors are not enough to explain. Therefore to extend our model, we implement leading behaviors for explicit expression of their roles and intention in the groups observed in subjects experiments in the pattern task.
  • 糸田孝太, 渡邊紀文, 清木康
    日本ロボット学会学術講演会予稿集(CD-ROM), 2022
  • Kota Itoda, Norifumi Watanabe, Yasushi Kiyoki
    IIAI-AAI-Winter, 2022
  • 糸田孝太, 渡邊紀文
    ファジィシステムシンポジウム講演論文集(CD-ROM), 2021, SCITEPRESS
    Flexible and cooperative human group behavior are realized by changing our intentions and behaviors based on dynamic estimation of other participants ’intention, and also adjustment of self and others’intention. We analyze human small group behavior using cooperative pattern task in 2D grid world to clarify an individual action selection process including inference of others ’intention and adjustment of intention among participants. In previous research, we have constructed behavior strategy models based on the human behavioral experiments, implemented the models to cooperative agents, and confirmed the goal achievement in almost the same steps to humans in the agent simulations. In this research, we analyze combinations of human behavior strategies realizing group behavior by comparing agent behavior to subjects behavior.
  • 守谷元一, 渡邊紀文, 宮本賢良, 糸田孝太, 今仁順也, 青山浩之, 武藤佳恭
    情報処理学会論文誌ジャーナル(Web), 2021
  • 糸田孝太, 渡邊紀文, 武藤佳恭
    人工知能学会全国大会論文集(Web), 2020, The Japanese Society for Artificial Intelligence
    Understanding of human flexible cooperative behavior in groups is important for constructing intelligent systems cooperate with human. In group behavior, top-down action selection based on sharing the participants' intention and bottom-down intention adjustment based on estimated intention from each behavior are considered to be done. To construct agent models realizing such process, we have analyzed the timing of dynamical change of intention and strategies of adjusting each intention in the group using pattern task which abstracting the group behavior including cooperative selection of intention and action for achieving the particular goal. In this research, we construct an agent model based on the analysis results and check the action selection process of each strategies using model simulations.
  • 渡邊紀文, 糸田孝太
    人工知能学会全国大会論文集(Web), 2019, Springer
    We have a behavior experiment using pattern task abstracting cooperative behaviors that require intention estimation and action switching to specific goals. And we have analyzed strategies to adjust cooperative intention estimations. In this research, we constructed an agent model that have three strategies of "random selection", "self-priority selection", and "other agent's target pattern estimation". And the decision making process was verified by simulation.
  • 糸田孝太, 渡邊紀文, 武藤佳恭
    ファジィシステムシンポジウム講演論文集(CD-ROM), 2019, Japan Society for Fuzzy Theory and Intelligent Informatics
    In order to understand human flexible cooperative behavior in a group, we have developed a cooperative pattern task requiring switching of intention and behavior. Through the analysis of the behavioral experiment using the task, subjects’ optimal behavior to a shared target in minimal steps and majority voting based action selection are clarified. In this research, agent models including "self- preferred selection" and "estimation of other agents’ intention" are constructed to reveal implicitly shared unobservable strategy under the subjects’ behavior. Moreover, we analyze the subjects’ action selection process by model-based agent simulation and comparison between subjects’ and agents’ behavior.
  • 有村勇紀, 杉野雅, 糸田孝太, 大森隆司, 渡邊紀文
    ファジィシステムシンポジウム講演論文集(CD-ROM), 2019, Japan Society for Fuzzy Theory and Intelligent Informatics
    We have been modeled based on real soccer data analysis in RoboCup Soccer Simulation 2D. In the case of a soccer game, it is considered that soccer players share cooperative patterns in a pass scene. In this research, we analyze the positional relationship between teammate and opponent team member using Delaunay Triangulation. Furthermore, the key player which receives a pass is extracted from the gaze direction of the ball holder.
  • 糸田孝太, 渡邊紀文, 武藤佳恭
    知能システムシンポジウム講演資料(CD-ROM), 2019
  • 渡邊紀文, 木浦豊治, 有村勇紀, 糸田孝太, 大森隆司
    ファジィシステムシンポジウム講演論文集(CD-ROM), 2018, Japan Society for Fuzzy Theory and Intelligent Informatics
    In recent cooperative behavior study with goal type sports, some devices such as action cams and acceleration sensors are used for measuring personal behaviors. In these measurements, we mainly analyze the output of player’s behavior. But in cooperative behavior, self and other persons confirm mutual actions and share their intention estimation. And they decide their purpose and judge the next own action. In this research we analyze the intention estimation by player’s head movement and model it to simulate the estimation process. We experimented soccer pass behavior and measure player’s head movement by a flying drone. We describe the measurement accuracy of the player's head movement by the drone and the analysis result of the timing when a ball holder shares the intention of other players and passing.
  • 守谷元一, 渡邊紀文, 今仁順也, 宮本賢良, 糸田孝太, 青山浩之, 武藤佳恭
    知能システムシンポジウム講演資料(CD-ROM), 2018
  • 渡邊紀文, 糸田孝太
    人工知能学会全国大会論文集(CD-ROM), 2018, The Japanese Society for Artificial Intelligence
    In a goal type ball game such as soccer and handball, a plurality of players who can pass are searched for, and each player's intention is estimated and a player who can pass is selected. Furthermore, it con rms the position and behavior of enemies that exist around passable players, estimates their intentions, and determines teammate players who pass the pass most successfully. In order to realize instantaneous intention estimation and judgment subject to strong temporal and spatial constraints, cooperative patterns shared within the group are considered to exist. Therefore, in this research, we presented to subjects a rst-person perspective of professional soccer players by using virtual environment, and analyzed the gaze behaviors pre- and post-training. Based on the results, we discuss that subjects switch their behavior by estimating the intention of otherplayers who pass and receive to subject by presenting the visual information based on the rst-person perspective.
  • 有村勇紀, 糸田孝太, 渡邊紀文, 大森隆司
    人工知能学会全国大会論文集(CD-ROM), 2017
  • 糸田孝太, 渡邊紀文, 武藤佳恭
    人工知能学会全国大会論文集(CD-ROM), 2017
  • 渡邊紀文, 糸田孝太
    ファジィシステムシンポジウム講演論文集(CD-ROM), 2017, Japan Society for Fuzzy Theory and Intelligent Informatics
  • 糸田孝太, 渡邊紀文, 武藤佳恭
    電子情報通信学会技術研究報告, 2017
  • 守谷元一, 渡邊紀文, 今仁順也, 宮本賢良, 糸田孝太, 青山浩之, 武藤佳恭
    自動制御連合講演会(CD-ROM), 2017
  • ARIMURA Yuki, ITODA Kota, WATANABE Norifumi, OMORI Takashi
    JSAI Technical Report, SIG-KBS, 2016, The Japanese Society for Artificial Intelligence
  • 糸田孝太, 渡邊紀文, 武藤佳恭
    人工知能学会全国大会論文集(CD-ROM), 2016, 一般社団法人 人工知能学会
  • 糸田孝太, 渡邊紀文, 古谷知之, 永野智久, 武藤佳恭
    人工知能学会全国大会論文集(CD-ROM), 2015, 一般社団法人 人工知能学会
    ハンドボールやサッカーといったゴール型ボールゲームでは，敵味方選手が同じフィールドを共有し，お互いの意図の推定に基づき，選手の時空間的な関係を動的に切り替える．本研究はゴール型ボールゲームとしてハンドボールに着目し，隠れマルコフモデル(HMM)及びトランスファー・エントロピー(TE)を用いて選手行動の因果性を分析することで，攻撃や守備といった集団行動における選手の役割と関係を明らかにした．
  • Kota Itoda, Norifumi Watanabe, Yoshiyasu Takefuji
    Journal of Japan Society for Fuzzy Theory and Intelligent Informatics, Jun, 2014, Japan Society for Fuzzy Theory and Intelligent Informatics
    In recent years, autonomous agents have been developed using statistical and probabilistic machine learnings together with deterministically optimized control. In this paper, a new decision making and motion generation method is proposed for adapting to uncertain environments. In the proposed method, we concentrate on passing in soccer, as a tactical group behavior, and understand how the optimization occurs in a group behavior from individual decision makings. In particular, we have quantified how people pass in plays by analyzing a video and tracking data of real soccer, and have constructed pass models with optimized parameters using logistic regression based on the analysis. As a result, our model predicted the next receiver with a high degree of accuracy by weighting positions of the players around the passer.
  • 糸田孝太, 渡邊紀文, 武藤佳恭
    人工知能学会全国大会論文集(CD-ROM), 2014, 一般社団法人 人工知能学会
    本研究では実試合データの映像及びトラッキングデータから，パスが行われているシーンを各フレーム毎に分析し，ロジスティック回帰によりモデルを構築した．さらに本モデルをRobocup2Dシミュレーションエージェントに実装することで，パス行動の予測を行った．
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