| 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 |
| Download PDF |
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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) |
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| 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) |
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| Keyword(1) |
YG personality test |
| Keyword(2) |
Individual differences |
| Keyword(3) |
Biological information |
| Keyword(4) |
Concentration |
| Keyword(5) |
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| Keyword(6) |
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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 |
Author-1 |
| Date Time |
2022-02-12 10:00:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
ME2022-5 |
| Volume (vol) |
vol.46 |
| Number (no) |
no.4 |
| Page |
pp.17-20 |
| #Pages |
4 |
| Date of Issue |
2022-02-05 (ME) |
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