Exploring the effectiveness of using temporal order information for the early-recognition of suture surgery's six steps based on video image analyses of surgeons' hand actions

Miwa Tsubota, Ye Li, Jun Ohya

    研究成果: Conference contribution

    抄録

    To alleviate the recent shortage problem of nurses, the actualization of RSN (Robotic Scrub Nurse) that can autonomously judge the current step of the surgery and pass the surgical instruments needed for the next step to surgeons is desired. The authors developed a computer vision based algorithm that can early-recognize only two steps of suture surgery. Based on the past work, this paper explores the effectiveness of utilizing temporal order of the six steps in suture surgery for the early-recognition. Our early-recognition algorithm consists of two modules: start point detection and hand action early-recognition. Segments of the test video that start from each quasi-start point are compared with the training data, and their probabilities are calculated. According to the calculated probabilities, hand actions could be early-recognized. To improve the early-recognition accuracy, temporal order information could be useful. This paper checks confusions of three steps' early recognition results, and if necessary, early-recognizes again after eliminating the wrong result, while for the other three steps, temporal order information is not utilized. Experimental results show our early-recognition method that utilizes the temporal order information achieves better performances.

    本文言語English
    ホスト出版物のタイトルRO-MAN 2017 - 26th IEEE International Symposium on Robot and Human Interactive Communication
    出版社Institute of Electrical and Electronics Engineers Inc.
    ページ464-469
    ページ数6
    2017-January
    ISBN(電子版)9781538635186
    DOI
    出版ステータスPublished - 2017 12 8
    イベント26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017 - Lisbon, Portugal
    継続期間: 2017 8 282017 9 1

    Other

    Other26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017
    CountryPortugal
    CityLisbon
    Period17/8/2817/9/1

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Networks and Communications
    • Human-Computer Interaction
    • Control and Optimization

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