Presentation 2017-02-21
The study of how to predict suture surgeries' six steps based on the operators' hand actions in video sequences
Miwa Tsubota, Li Ye, Jun Ohya,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) To alleviate the recent shortage problem of nurses and increase the efficiency of surgery, 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 expected. The authors developed an image processing based algorithm that can early recognize only 2 steps of suture surgery before. Based on the past work, this paper proposed an expanded algorithm that can early recognize all 6 steps of suture surgery. The proposed algorithm consists of 2 modules, quasi-start point detection and action early-recognition. The segments of 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, actions could be early-recognized. Experimental results show the proposed method achieves a good performance.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) RSN / suture surgery / image processing / early recognition / subaction
Paper # ITS2016-54,IE2016-112
Date of Issue 2017-02-13 (ITS, IE)

Conference Information
Committee IE / ITS / ITE-AIT / ITE-HI / ITE-ME / ITE-MMS / ITE-CE
Conference Date 2017/2/20(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Hokkaido Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Image Processing, etc.
Chair Seishi Takamura(NTT) / Tomotaka Nagaosa(Kanto Gakuin Univ.) / Tokiichiro Takahashi(TDU) / Masayuki Sato(Univ. of Kitakyushu) / Miki Haseyama(Hokkaido Univ.) / Eiichi Miyashita(NHK) / Koji Minami(Mitsubishi Electric Corp.)
Vice Chair Takayuki Hamamoto(Tokyo Univ. of Science) / Atsuro Ichigaya(NHK) / Masahiro Fujii(Utsunomiya Univ.) / Tomotaka Wada(Kansai Univ.) / / / Norio Tagawa(Tokyo Metropolitan Univ.)
Secretary Takayuki Hamamoto(NTT) / Atsuro Ichigaya(Chiba Inst. of Tech.) / Masahiro Fujii(Meiji Univ.) / Tomotaka Wada(AIST) / (Tokyo Polytechnic Univ.) / (NICT) / Norio Tagawa(NTT) / (NHK) / (NHK)
Assistant Kei Kawamura(KDDI R&D Labs.) / Keita Takahashi(Nagoya Univ.) / Tetsuya Manabe(Saitama Univ.) / Yanlei Gu(Univ. of Tokyo) / Koichiro Hashiura(Akita Pref. Univ.)

Paper Information
Registration To Technical Committee on Image Engineering / Technical Committee on Intelligent Transport Systems Technology / Technical Group on Artistic Image Technology / Technical Group on Human Inormation / Technical Group on Media Engineering / Technical Group on Multi-media Storage / Technical Group on Consumer Electronics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The study of how to predict suture surgeries' six steps based on the operators' hand actions in video sequences
Sub Title (in English)
Keyword(1) RSN
Keyword(2) suture surgery
Keyword(3) image processing
Keyword(4) early recognition
Keyword(5) subaction
1st Author's Name Miwa Tsubota
1st Author's Affiliation Waseda University(Waseda Univ.)
2nd Author's Name Li Ye
2nd Author's Affiliation Waseda University(Waseda Univ.)
3rd Author's Name Jun Ohya
3rd Author's Affiliation Waseda University(Waseda Univ.)
Date 2017-02-21
Paper # ITS2016-54,IE2016-112
Volume (vol) vol.116
Number (no) ITS-463,IE-464
Page pp.pp.257-262(ITS), pp.257-262(IE),
#Pages 6
Date of Issue 2017-02-13 (ITS, IE)