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

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

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトル2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1124-1129
ページ数6
ISBN(印刷版)9781479973965
DOI
出版ステータス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
国/地域Indonesia
CityBali
Period14/12/514/12/10

ASJC Scopus subject areas

  • バイオテクノロジー
  • 人工知能
  • 人間とコンピュータの相互作用

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