Pattern Recognition Letters - Special Issue on Mobile and Wearable Biometrics (VSI:MWB) Call for Papers

Pattern Recognition Letters - Special Issue on Mobile and Wearable Biometrics (VSI:MWB)

https://www.journals.elsevier.com/pattern-recognition-letters/call-for-papers/mobile-and-wearable-biometrics-vsimwb


AIMS AND SCOPE

Mobile devices such as smartphones and tablets are nowadays daily
employed by more than 3 billion people, with an expected further
worldwide penetration up to 5 billion users by 2025. Among the reasons
for such astonishing growth, from the early years of mobile
communications to the present day, there is the fact that modern
mobile devices offer the possibility to perform many tasks and access
several services, such as taking pictures or perform on-line payments,
with an extreme ease of use. As a matter of fact, the share of
internet users making mobile online payments is above 30% in most
regions of the world.

As the next step in terms of technological revolution, wearable
devices such as smart glasses, chestbands, and wristbands, are also
rapidly becoming widespread. Thanks to their ability in capturing
physiological signals like those related to the heart rate, a vast
number of applications is being developed for wearable platforms,
ranging from activity tracker and healthcare to social sharing in the
context of the Internet of Things.

It has yet to be observed that most of the services which can be
performed through mobile and wearable devices are typically accessed
and used by providing sensitive and valuable data, such as passwords,
credit card numbers, and so forth. Furthermore, the information
commonly captured by the sensors with which these devices are
equipped, and stored within them, is highly personal, with consequent
possible security and privacy issues in case unauthorized subjects try
to access such content.

It is therefore of paramount importance to design effective and secure
mechanisms to access these devices. In this regard, resorting to
biometric recognition systems seems a natural choice. Mobile and
wearable devices are in fact commonly equipped with several sensors
which could be exploited to acquire discriminative traits, thus
allowing to recognize the authorized users.

Furthermore, the possibility of performing biometric recognition
within mobile and wearable devices may come in handy to use them as
authenticating tokens, providing the means to perform decentralized
access control, thus exploiting mobile and wearable technology as
authenticating means by combining their capabilities with biometric
solutions. Such approach would for instance allow to design reliable
systems performing continuous recognition, monitoring the identity of
a subject during a period of indefinite temporal extension, hence
providing robustness against session hi-jacking, in which an intruder
may seize control of an ongoing session after a successful login of a
legitimate user.

It is yet worth remarking that the systems to be implemented for such
devices should be designed while taking into account the specific
peculiarities of the considered scenarios. For instance, with respect
to solutions dedicated to desktop systems, where physical
characteristics are commonly preferred, approaches based on either
behavioural or cognitive traits might be more appropriate when dealing
with mobile and wearable devices. The computational complexity of the
required processing may also represent a concern for systems with
limited resources available.

The present special issue therefore seeks for recent and innovative
developments in pattern recognition fields with applications to the
design of biometric recognition systems for mobile and wearable
devices. Topics of interest include, for example, the analysis and
processing of the discriminative information (biosignals, images)
which can be captured through mobile and wearable devices, the design
of hardware architectures or software packages which could be
effectively implemented in such environments, the proposal of machine
learning approaches requiring limited computational resources, among
others.

 

TOPICS

Topics of interest include, but are not limited to:

*       Mobile biometrics in the wild;

*       Continuous biometric recognition using wearable devices;

*       Sensors for wearable technology (smartwatches, smart eyewear, smart t-shirt, etc.);

*       Physical and behavioral in the mobile environment;

*       Cognitive biometrics for wearable devices;

*       Age and aging effects in mobile biometrics;

*       Machine learning with limited computational resources;

*       Biometric template protection: challenges and solutions in the mobile environment;

*       Usability, interfaces, and human factors;

*       Hardware architectures and software for biometric recognition on mobile and wearable devices;

*       Affective computing in biometric recognition.

 

IMPORTANT DATES

*       Submission period: September 1-20, 2021

*       First review notification: November 7, 2021

*       Revision submission: December 19, 2021

*       Second review notification: January 23, 2022

*       Final submission: March 6, 2022

*       Final notice of acceptance/rejection: April 10, 2022

 

SUBMISSION GUIDELINES

Paper submissions must conform to the Pattern Recognition Letters
format guidelines. Manuscripts can have no more than 7 pages (plus one
page after revision) and must be submitted to the online submission
system. When submitting their papers through the online system,
authors must select the acronym VSI:MWB as the article type.

Submissions to the special issue must include new, unpublished,
original research. Papers must be original and have not been published
or submitted elsewhere. If the submissions are extended works of
previously published papers, the original works should be included and
a description of the changes that have been made should be
provided. The submission should include at least 30% new contribution
of high relevance. The title and the figures of the submitted paper
should be different, and the common part of the conference paper and
of the extended version cannot be verbatim the same.

Guest editors will make an initial determination of the suitability
and scope of all submissions. All submissions deemed suitable to be
sent for peer review will be reviewed by at least two independent
reviewers. Once your manuscript is accepted, it will go into
production, and will be simultaneously published in the current
regular issue and pulled into the online Special Issue. Articles from
this Special Issue will appear in different regular issues of the
journal, though they will be clearly marked and branded as Virtual
Special Issue articles. Please see an example here:
https://www.sciencedirect.com/journal/science-of-the-total-environment/special-issue/10SWS2W7VVV
.

 

GUEST EDITORS

Ph.D. Emanuele Maiorana, Roma Tre University, Italy

Ph.D. Ruggero Donida Labati, University of Milan, Italy

Prof. Shiqi Yu, Southern University of Science and Technology, China


CONTACTS

For further information, please send an email to 
Emanuele Maiorana at emanuele.maiorana@uniroma3.it