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Paper Abstract and Keywords
Presentation 2022-02-12 10:00
Analysis of concentration state by using biometric information with personal feature
Madoka Hagiri, Reoya Tanaka, Shigetomo Sakuma, Shoji Yamamoto (TMCIT)
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, a work style reforming has been proposed in the business community. In order to realize this approach, it is essential to improve the productivity of the workplace. Especially, we should assess the concentration of workers during the working time in relation to these improvements. However, it is difficult to quantify the level of concentration because it varies greatly between individuals. Therefore, we proposed a method to accurately judge the degree of concentration of a participant based on biometric information by applying the classification of the YG personality test in a priori. Here, we adopted easily collectable biometric data such as gaze, heart rate variability, and head movements.
Keyword (in Japanese) (See Japanese page) 
(in English) YG personality test / Individual differences / Biological information / Concentration / / / /  
Reference Info. ITE Tech. Rep., vol. 46, no. 4, ME2022-5, pp. 17-20, Feb. 2022.
Paper # ME2022-5 
Date of Issue 2022-02-05 (ME) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee ME  
Conference Date 2022-02-12 - 2022-02-12 
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-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of concentration state by using biometric information with personal feature 
Sub Title (in English)  
Keyword(1) YG personality test  
Keyword(2) Individual differences  
Keyword(3) Biological information  
Keyword(4) Concentration  
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1st Author's Name Madoka Hagiri  
1st Author's Affiliation Tokyo Metropolitan College of Industrial Technology (TMCIT)
2nd Author's Name Reoya Tanaka  
2nd Author's Affiliation Tokyo Metropolitan College of Industrial Technology (TMCIT)
3rd Author's Name Shigetomo Sakuma  
3rd Author's Affiliation Tokyo Metropolitan College of Industrial Technology (TMCIT)
4th Author's Name Shoji Yamamoto  
4th Author's Affiliation Tokyo Metropolitan College of Industrial Technology (TMCIT)
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Speaker
Date Time 2022-02-12 10:00:00 
Presentation Time 15 
Registration for ME 
Paper # ITE-ME2022-5 
Volume (vol) ITE-46 
Number (no) no.4 
Page pp.17-20 
#Pages ITE-4 
Date of Issue ITE-ME-2022-02-05 


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