Usability Evaluation of Biometrics in Mobile Environments

Blanco-Gonzalo, Ramón; Diaz-Fernandez, Luis; Miguel-Hurtado, Oscar; Sánchez-Reillo, Raúl

doi:10.1007/978-3-319-08491-6_24

Cited by 9 publications

(5 citation statements)

References 8 publications

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“…The most used in the cloudmobile scenario are reported in table I. [6], [8], [9], [11], [15], [32], [49], [56], [57], [91], [93], [94], [97] Model based ANN [106] HMM/GMM [6], [19], [26], [35], [55], [92] SVM [57], [58], [87], [90] Distance-based approaches provide the verification response based on the distance between the test signature and one or more reference signatures. Model-based approaches verify the test signature by estimating fitness on the signature reference model of the user.…”

Section: Training-verificationmentioning

confidence: 99%

“…Usability experiments have been performed considering different devices, platforms and technologies as well as various posture scenarios [8], [10], and [83]. Although the signing process is often considered to be an automatic one, the visual feedback plays a crucial role: signing without a visual feedback is completely un-natural [9].…”

Section: A Accessibility and Usabilitymentioning

confidence: 99%

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Automatic Signature Verification in the Mobile Cloud Scenario: Survey and Way Ahead

Impedovo

Pirlo

2021

IEEE Trans. Emerg. Topics Comput.

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On-line signature verification is typically carried out with the use of digitizing tablets specifically designed for the aim. So far, stand-alone systems have been mainly inspected, but the current distributed/cloud scenario and the amount of mobile devices in everyday life is calling for a new challenge. Within this scenario, signatures are acquired around the world with different kinds of devices and processed on multiple platforms in order to be verified. Through the paper, the different phases of the signature verification process in the new scenario are presented and the most valuable results are discussed considering the following aspects: accessibility and usability, interoperability, security and performance. Achievements as well as weakness are focused in order to highlight promising directions for further research and technology development.

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Section: Training-verificationmentioning

confidence: 99%

Section: A Accessibility and Usabilitymentioning

confidence: 99%

Automatic Signature Verification in the Mobile Cloud Scenario: Survey and Way Ahead

Impedovo

Pirlo

2021

IEEE Trans. Emerg. Topics Comput.

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“…The publications, listed in table 4, tried to establish more comfortable configurations to allow users to complete biometric recognitions evaluating the usability of different scenarios [48], [49].…”

Section: Testing the Usability In Private Scenariosmentioning

confidence: 99%

Ergonomics in Mobile Fingerprint Recognition Systems: A User Interaction Evaluation

Corsetti

Sánchez-Reillo

Guest

2020

Advances in Intelligent Systems and Computing

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Biometrics is currently replacing traditional authentication mechanisms in more and more contexts. Biometric recognition allows us to identify ourselves quickly and easily without requiring any effort as when remembering secret codes or passwords. For this reason, more and more users choose to unlock their smartphones through the face or finger recognition. Hence, the release of mobile services supported by biometric recognition is increasing. This growing use of biometrics has raised new questions about the user interaction. Is _____________________ X Traceable and comparable evaluation methodology for biometric systems usability

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“…Blanco et al [5] evaluated signature using an iPad with different styluses under different scenariossitting, standing, device placed on the table and device held in hand. Their experimental outcome proposed that stylusbased devices performed better when the user is seated or the device is resting on the table.…”

Section: Related Workmentioning

confidence: 99%

A Framework for Assessing Factors Influencing User Interaction for Touch-based Biometrics

Ellavarason

Guest

Deravi

2018

2018 26th European Signal Processing Conference (EUSIPCO)

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Usability Evaluation of Biometrics in Mobile Environments

Cited by 9 publications

References 8 publications

Automatic Signature Verification in the Mobile Cloud Scenario: Survey and Way Ahead

Automatic Signature Verification in the Mobile Cloud Scenario: Survey and Way Ahead

Ergonomics in Mobile Fingerprint Recognition Systems: A User Interaction Evaluation

A Framework for Assessing Factors Influencing User Interaction for Touch-based Biometrics

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