Gender recognition method based on silhouette, footstep, and foot pressure measurements for counting customers.

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Title: Gender recognition method based on silhouette, footstep, and foot pressure measurements for counting customers.
Authors: Sudo, Kyoko1, Yamato, Junji2, Tomono, Akira3, Ishii, Ken-ichiro2
Source: Electronics & Communications in Japan, Part 2: Electronics. Aug2002, Vol. 85 Issue 8, p54-64. 11p.
Subjects: Electric equipment in retail stores, Digital counters, Silhouettes, Footsteps, Gender, Consumers
Abstract: Conventional methods of gender recognition cannot be applied to counting store customers in terms of both data acquisition conditions and processing time. To solve this problem, the authors proposed a gender recognition method based on human silhouette shape characteristics. The current study demonstrated for the first time how efficient the footstep characteristic and foot pressure characteristic are for gender recognition. It discussed the recognition technique based on joining of the mentioned characteristics with the silhouette characteristic. These were joined by the one-dimensional compression based on the Fischer discrimination of characteristic vectors arranged in the order of characteristic rates for these three types. Based on the results of clothing-related research aimed at department store customers, a population group consisting of 45 male and 45 female participants was gathered to simulate distribution of various types of clothing and footwear. The authors conducted recognition tests with this population group and examined distributions by types of clothes and footwear in the characteristic space. The results showed that (1) for each separate characteristic rate the recognition rate which used to be 80% increased up to 90% due to use of joint characteristics, (2) there were numerous samples that featured correct recognition by the footstep characteristic or foot pressure characteristic even with erroneous recognition by the silhouette characteristic, which demonstrated effectiveness of the proposed combination of the three types of characteristic rates. © 2002 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 85(8): 54–64, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecjb.10066 [ABSTRACT FROM AUTHOR]
Copyright of Electronics & Communications in Japan, Part 2: Electronics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Gender recognition method based on silhouette, footstep, and foot pressure measurements for counting customers.
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  Data: <searchLink fieldCode="DE" term="%22Electric+equipment+in+retail+stores%22">Electric equipment in retail stores</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+counters%22">Digital counters</searchLink><br /><searchLink fieldCode="DE" term="%22Silhouettes%22">Silhouettes</searchLink><br /><searchLink fieldCode="DE" term="%22Footsteps%22">Footsteps</searchLink><br /><searchLink fieldCode="DE" term="%22Gender%22">Gender</searchLink><br /><searchLink fieldCode="DE" term="%22Consumers%22">Consumers</searchLink>
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  Data: Conventional methods of gender recognition cannot be applied to counting store customers in terms of both data acquisition conditions and processing time. To solve this problem, the authors proposed a gender recognition method based on human silhouette shape characteristics. The current study demonstrated for the first time how efficient the footstep characteristic and foot pressure characteristic are for gender recognition. It discussed the recognition technique based on joining of the mentioned characteristics with the silhouette characteristic. These were joined by the one-dimensional compression based on the Fischer discrimination of characteristic vectors arranged in the order of characteristic rates for these three types. Based on the results of clothing-related research aimed at department store customers, a population group consisting of 45 male and 45 female participants was gathered to simulate distribution of various types of clothing and footwear. The authors conducted recognition tests with this population group and examined distributions by types of clothes and footwear in the characteristic space. The results showed that (1) for each separate characteristic rate the recognition rate which used to be 80% increased up to 90% due to use of joint characteristics, (2) there were numerous samples that featured correct recognition by the footstep characteristic or foot pressure characteristic even with erroneous recognition by the silhouette characteristic, which demonstrated effectiveness of the proposed combination of the three types of characteristic rates. © 2002 Wiley Periodicals, Inc. Electron Comm Jpn Pt 2, 85(8): 54–64, 2002; Published online in Wiley InterScience (<URL>www.interscience.wiley.com</URL>). DOI 10.1002/ecjb.10066 [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Electronics & Communications in Japan, Part 2: Electronics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/ecjb.10066
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        Text: English
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      – SubjectFull: Digital counters
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      – SubjectFull: Silhouettes
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      – SubjectFull: Footsteps
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      – SubjectFull: Gender
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            NameFull: Yamato, Junji
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            NameFull: Tomono, Akira
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              M: 08
              Text: Aug2002
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              Y: 2002
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