Leveraging shape and depth in user authentication from in-air hand gestures

Wu, Q. M. Jonathan; Christianson, James; Konrad, Janusz; Ishwar, Prakash

doi:10.1109/icip.2015.7351393

Cited by 20 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Given a time series of these locations, DTW is used to compute the distance of this series from a template derived from a set of enrolled samples. Wu et al [117] extended this approach by adding physiological attributes (S+P+B). Their method performs gesture matching, between a query and enrolled samples, by comparing covariance matrices of hand's silhouette and depth over a group frames.…”

Section: C-ha-* Schemes: Hand-based Techniquesmentioning

confidence: 99%

“…In relation to physical observation, a performance of 2-6% EER was reported for one-finger generic gestures and 1-5% EER for multiple-finger generic gestures. Finally, hand-gesture authentication combining behavioral and physiological attributes [117] resulted in 1.92% EER for 4 generic gestures recorded by 21 individuals in a single session. One advantage of C-Ha-* schemes is their resilience to physical observation if biometric information is used.…”

Section: C-ha-* Schemes: Hand-based Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

Emerging NUI-Based Methods for User Authentication: A New Taxonomy and Survey

Sae-Bae

Memon

et al. 2019

IEEE Trans. Biom. Behav. Identity Sci.

Self Cite

View full text Add to dashboard Cite

As the convenience and cost benefits of Natural User Interface (NUI) technologies are hastening their wide adoption, computing devices equipped with such interfaces are becoming ubiquitous. Used for a broad range of applications, from accessing email and bank accounts to home automation and interacting with a healthcare provider, such devices require, more than ever before, a secure yet convenient user authentication mechanism. This paper introduces a new taxonomy and presents a survey of "point-of-entry" user-device authentication mechanisms that employ a natural user interaction. The taxonomy allows a grouping of the surveyed techniques based on the sensor type used to capture user input, the actuator a user applies during interaction, and the credential type used for authentication. A set of security and usability evaluation criteria are then proposed based on the Bonneau, Herley, Van Oorschot and Stajano framework. An analysis of a selection of techniques and, more importantly, the broader taxonomy elements they belong to, based on these evaluation criteria, are provided. This analysis and taxonomy provide a framework for the comparison of different authentication alternatives given an application and a targeted threat model. Similarly, the taxonomy and analysis also offer insights into possibly unexplored, yet potentially rewarding, research avenues for NUI-based user authentication that could be explored.

show abstract

Section: C-ha-* Schemes: Hand-based Techniquesmentioning

confidence: 99%

Section: C-ha-* Schemes: Hand-based Techniquesmentioning

confidence: 99%