Accessible Mobile Biometrics for Elderly

Blanco-Gonzalo, Ramón; Sánchez-Reillo, Raúl; Martínez-Normand, Loïc; Fernandez-Saavedra, Belen; Liu-Jimenez, Judith

doi:10.1145/2700648.2811332

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…For accessibility evaluations, carried out for the development of this Thesis, were enrolled users affected by mobility and cognitive issues. A part of the motor and the cognitive concerns, some accessibility evaluations were carried out also recruiting older users [59], [60]. This is since several accessibility pathologies are age-related and, additionally, aging affects the user's dexterity and cognitive skills which influence their ability to provide high-quality biometric traits [35].…”

Section: Accessibility: Improvement Point In User Interaction Evaluationmentioning

confidence: 99%

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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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Section: Accessibility: Improvement Point In User Interaction Evaluationmentioning

confidence: 99%

“…For instance, as demonstrated in [60] and in [61] the application of fingerprint traits brought a low level of recognition performance compared to other biometric modalities.…”

Section: Accessibility: Improvement Point In User Interaction Evaluationmentioning

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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“…Furthermore, the user in terms of sample quality as well as age (elderly) [19] and accessibility (wheelchair users) [20] will influence the performance of the modality. Elliott et al [21] investigated how fingerprint sample quality across age groups can affect a biometric system.…”

Section: Factor #I: Modalitiesmentioning

confidence: 99%