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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    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.

    Original languageEnglish
    Title of host publication2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1124-1129
    Number of pages6
    ISBN (Print)9781479973965
    DOIs
    Publication statusPublished - 2014 Apr 20
    Event2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014 - Bali, Indonesia
    Duration: 2014 Dec 52014 Dec 10

    Other

    Other2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
    CountryIndonesia
    CityBali
    Period14/12/514/12/10

    ASJC Scopus subject areas

    • Biotechnology
    • Artificial Intelligence
    • Human-Computer Interaction

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  • Cite this

    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. In 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