Adaptive multiple experts system for personal identification using facial behaviour biometrics

Pohsiang Tsai; Phuoc Tran Tich; Tom Hintz; Tony Jan

doi:10.1109/MMSP.2008.4665158

Adaptive multiple experts system for personal identification using facial behaviour biometrics

Pohsiang Tsai, Phuoc Tran Tich, Tom Hintz, Tony Jan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Physiological and/or behavioural characteristics of humans such as face, gait and/or voice have been used in biometric recognition technology. Apart from these characteristics (which have been reported in the literature), the hypothesis of this research was to investigate if facial behaviour could be used for human identification. We analysed and proposed a multiple experts system, called Adaptive Multiple Experts System (AMES), for validating our hypothesis and analysis. We used the Japanese Female Facial Expression (JAFFE) database as it provides the facial behaviour traits for data collection. The experimental results indicate that facial behaviours may provide information about individual difference and, thus may be used as another behavioural biometric.

Original language	English
Title of host publication	Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008
Pages	660-665
Number of pages	6
DOIs	https://doi.org/10.1109/MMSP.2008.4665158
Publication status	Published - 2008
Externally published	Yes
Event	2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008 - Cairns, QLD, Australia Duration: 8 Oct 2008 → 10 Oct 2008

Publication series

Name	Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008

Conference

Conference	2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008
Country/Territory	Australia
City	Cairns, QLD
Period	8/10/08 → 10/10/08

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10.1109/MMSP.2008.4665158

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Tsai, P., Tich, P. T., Hintz, T., & Jan, T. (2008). Adaptive multiple experts system for personal identification using facial behaviour biometrics. In Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008 (pp. 660-665). Article 4665158 (Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008). https://doi.org/10.1109/MMSP.2008.4665158

@inproceedings{4cb5b304e8b24b0f9b33493dbe4ab0cc,

title = "Adaptive multiple experts system for personal identification using facial behaviour biometrics",

abstract = "Physiological and/or behavioural characteristics of humans such as face, gait and/or voice have been used in biometric recognition technology. Apart from these characteristics (which have been reported in the literature), the hypothesis of this research was to investigate if facial behaviour could be used for human identification. We analysed and proposed a multiple experts system, called Adaptive Multiple Experts System (AMES), for validating our hypothesis and analysis. We used the Japanese Female Facial Expression (JAFFE) database as it provides the facial behaviour traits for data collection. The experimental results indicate that facial behaviours may provide information about individual difference and, thus may be used as another behavioural biometric.",

author = "Pohsiang Tsai and Tich, {Phuoc Tran} and Tom Hintz and Tony Jan",

year = "2008",

doi = "10.1109/MMSP.2008.4665158",

language = "English",

isbn = "9781424422951",

series = "Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008",

pages = "660--665",

booktitle = "Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008",

note = "2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008 ; Conference date: 08-10-2008 Through 10-10-2008",

}

Tsai, P, Tich, PT, Hintz, T & Jan, T 2008, Adaptive multiple experts system for personal identification using facial behaviour biometrics. in Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008., 4665158, Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008, pp. 660-665, 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008, Cairns, QLD, Australia, 8/10/08. https://doi.org/10.1109/MMSP.2008.4665158

Adaptive multiple experts system for personal identification using facial behaviour biometrics. / Tsai, Pohsiang; Tich, Phuoc Tran; Hintz, Tom et al.
Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008. 2008. p. 660-665 4665158 (Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Adaptive multiple experts system for personal identification using facial behaviour biometrics

AU - Tsai, Pohsiang

AU - Tich, Phuoc Tran

AU - Hintz, Tom

AU - Jan, Tony

PY - 2008

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N2 - Physiological and/or behavioural characteristics of humans such as face, gait and/or voice have been used in biometric recognition technology. Apart from these characteristics (which have been reported in the literature), the hypothesis of this research was to investigate if facial behaviour could be used for human identification. We analysed and proposed a multiple experts system, called Adaptive Multiple Experts System (AMES), for validating our hypothesis and analysis. We used the Japanese Female Facial Expression (JAFFE) database as it provides the facial behaviour traits for data collection. The experimental results indicate that facial behaviours may provide information about individual difference and, thus may be used as another behavioural biometric.

AB - Physiological and/or behavioural characteristics of humans such as face, gait and/or voice have been used in biometric recognition technology. Apart from these characteristics (which have been reported in the literature), the hypothesis of this research was to investigate if facial behaviour could be used for human identification. We analysed and proposed a multiple experts system, called Adaptive Multiple Experts System (AMES), for validating our hypothesis and analysis. We used the Japanese Female Facial Expression (JAFFE) database as it provides the facial behaviour traits for data collection. The experimental results indicate that facial behaviours may provide information about individual difference and, thus may be used as another behavioural biometric.

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U2 - 10.1109/MMSP.2008.4665158

DO - 10.1109/MMSP.2008.4665158

M3 - Conference contribution

AN - SCOPUS:58049101384

SN - 9781424422951

T3 - Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008

SP - 660

EP - 665

BT - Proceedings of the 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008

T2 - 2008 IEEE 10th Workshop on Multimedia Signal Processing, MMSP 2008

Y2 - 8 October 2008 through 10 October 2008

ER -

Adaptive multiple experts system for personal identification using facial behaviour biometrics

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