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Paper Abstract and Keywords
Presentation 2022-02-22 16:30
Relevance Analysis between Bio-signals of Engineers Inspecting Subway Tunnels and Their Inspection Behaviors
Kaito Hirasawa, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper presents relevance analysis between bio-signals of engineers inspecting subway tunnels and their inspection behaviors. First, by relevance analysis between bio-signals of inspection engineers and the comments evaluated by experts for each inspection behavior, we confirm that bio-signals can effectively represent differences of expert-novice levels of engineers. Furthermore, by corresponding time variation of bio-signals to videos obtained during the inspections, we confirm that differences in behavior can be visually recognized. From the above, we show that these analyses are effective in inheriting the expert's skills to novices.
Keyword (in Japanese) (See Japanese page) 
(in English) Inspecting behaviors / bio-signals / relevance analysis / subway tunnel / / / /  
Reference Info. ITE Tech. Rep., vol. 46, no. 6, ME2022-57, pp. 365-370, Feb. 2022.
Paper # ME2022-57 
Date of Issue 2022-02-14 (MMS, ME, AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee AIT ME MMS IEICE-IE IEICE-ITS  
Conference Date 2022-02-21 - 2022-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English) online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ME 
Conference Code 2022-02-AIT-ME-MMS-IE-ITS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Relevance Analysis between Bio-signals of Engineers Inspecting Subway Tunnels and Their Inspection Behaviors 
Sub Title (in English)  
Keyword(1) Inspecting behaviors  
Keyword(2) bio-signals  
Keyword(3) relevance analysis  
Keyword(4) subway tunnel  
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1st Author's Name Kaito Hirasawa  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Keisuke Maeda  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Ren Togo  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Takahiro Ogawa  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
5th Author's Name Miki Haseyama  
5th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2022-02-22 16:30:00 
Presentation Time 15 minutes 
Registration for ME 
Paper # MMS2022-32, ME2022-57, AIT2022-32 
Volume (vol) vol.46 
Number (no) no.6 
Page pp.365-370 
#Pages
Date of Issue 2022-02-14 (MMS, ME, AIT) 


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