Presentation | 2004/3/18 The possibility of personal identification based on center-of-pressure trajectories Masaaki KATO, Hiro-Fumi YANAI, |
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Abstract(in English) | Analyse of center-of-pressure (COP) trajetories have been used from medicine or gymnastics point of view for a long time, but not used for personal identification. In this paper, we investigated personal indentification based on characteristic parameters of postural sway, such as the length of the trajectory, the swept area, the angular displacement. A marker was attached to the left shoulder of each subject. An image processing was used to record the time-varying displacement of this marker during quiet-standing conditions. As a result, each of seven subjects was correctly discriminated from the others, so that we could propose the postural sway analysis is as one of personal identification methods. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | center-of-pressure trajectories / postural sway / personal identification / discriminant function / COP parameters |
Paper # | HIP2003-132 |
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Conference Information | |
Committee | HIP |
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Conference Date | 2004/3/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Human Information Processing (HIP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | The possibility of personal identification based on center-of-pressure trajectories |
Sub Title (in English) | |
Keyword(1) | center-of-pressure trajectories |
Keyword(2) | postural sway |
Keyword(3) | personal identification |
Keyword(4) | discriminant function |
Keyword(5) | COP parameters |
1st Author's Name | Masaaki KATO |
1st Author's Affiliation | Graduate School of Science & Engneering of Ibaraki University, Course of Media and Telecommunication Engineering() |
2nd Author's Name | Hiro-Fumi YANAI |
2nd Author's Affiliation | Ibaraki University, Department of Media and Telecommunication Engineering |
Date | 2004/3/18 |
Paper # | HIP2003-132 |
Volume (vol) | vol.103 |
Number (no) | 743 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |