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EnglishEmerging biometrics based on the measurements of body dynamic and static characteristics have gained increased importance in all the surveillance environments where the security is a mandatory priority. Some technology branches are involved to find unobtrusive solutions for authentication systems, where the human subject should not take care of the system itself so that he/she is free to perform his/her normal actions. In the first part of the chapter a novel gait recognition system is presented that introduces the use of range data for gait signal analysis. In the second part of the chapter, a description of system based on a sensing seat for event-related continuous authentication purpose in office and car scenarios is presented. Both biometric technologies introduce new means of verifying the user identity, by exploiting the analysis of common and every-day activities recorded in an unobtrusive manner and their recognition accuracy has been seen to be very high in the performed experiments.
| Titolo: | Gait and Anthropometric Profile Biometrics: A Step Forward |
| Autori: | Ioannidis D.; Tzovaras D.; Dalle Mura G.; Ferro M.; Valenza G.; Tognetti A.; Pioggia G. |
| Autori interni: | |
| Anno del prodotto: | 2012 |
| Abstract: | Emerging biometrics based on the measurements of body dynamic and static characteristics have gained increased importance in all the surveillance environments where the security is a mandatory priority. Some technology branches are involved to find unobtrusive solutions for authentication systems, where the human subject should not take care of the system itself so that he/she is free to perform his/her normal actions. In the first part of the chapter a novel gait recognition system is presented that introduces the use of range data for gait signal analysis. In the second part of the chapter, a description of system based on a sensing seat for event-related continuous authentication purpose in office and car scenarios is presented. Both biometric technologies introduce new means of verifying the user identity, by exploiting the analysis of common and every-day activities recorded in an unobtrusive manner and their recognition accuracy has been seen to be very high in the performed experiments. |
| Digital Object Identifier (DOI): | 10.1007/978-94-007-3892-8_5 |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
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