Development of state transition model and speech recognition module for training of neurological examination

Y. Sugamiya, K. Matsunaga, C. Wang, S. Tokunaga, S. Kawasaki, Hiroyuki Ishii, Y. Nakae, T. Katayama, Atsuo Takanishi

    研究成果: Conference contribution

    抜粋

    This study aims to develop a state transition model and speech recognition module for application to a whole-body patient simulator for scenario based training (SBT) of neurological examination procedures. These procedures are very important for the early identification of neurological system disorders. In neurological examinations, the doctor selects procedures by situation of patients, interacts with the patient and performs a series of medical procedures to judge the site of nerve disorders and lesions. SBT is one type of training that doctor performs to be based on scenario. Scenario is patient situation and examination procedure. SBT is used for the training of such examinations. SBT is often performed using simulated patients (SPs); however, the number of SPs is not sufficient and SPs cannot adequately reproduce diseases. Therefore, we integrated a state transition model with a commercial speech recognition software and developed a dialogue system for SBT. First, we customized the grammatical rules and the different words that the software can recognize. By doing so, the recognition rate improved to about 90%. Second, we developed a probability model for the state transition model. In neurological examinations, patient pause is limited and an order of procedures is generally decided. We developed a state transition model including probability model with the customized speech recognition module.

    元の言語English
    ホスト出版物のタイトル2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
    出版者Institute of Electrical and Electronics Engineers Inc.
    ページ1124-1129
    ページ数6
    ISBN(印刷物)9781479973965
    DOI
    出版物ステータスPublished - 2014 4 20
    イベント2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014 - Bali, Indonesia
    継続期間: 2014 12 52014 12 10

    Other

    Other2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
    Indonesia
    Bali
    期間14/12/514/12/10

    ASJC Scopus subject areas

    • Biotechnology
    • Artificial Intelligence
    • Human-Computer Interaction

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  • これを引用

    Sugamiya, Y., Matsunaga, K., Wang, C., Tokunaga, S., Kawasaki, S., Ishii, H., Nakae, Y., Katayama, T., & Takanishi, A. (2014). Development of state transition model and speech recognition module for training of neurological examination. : 2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014 (pp. 1124-1129). [7090483] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROBIO.2014.7090483