Search results for: Peter Corcoran

Items from 1 to 20 out of 122 results

article

A Sneak Preview of ICCE 2018 [Conference Reports]

Peter Corcoran

IEEE Consumer Electronics Magazine > 2018 > 7 > 1 > 10 - 116

chapter

Android permission system and user privacy — A review of concept and approaches

Asma Khatoon, Peter Corcoran

2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin) > 153 - 158

2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

Use of smartphones in our everyday life has become widely popular. A large proportion of smartphones use Android OS, which supports third party software development, so there is increasing number of developers developing applications for the android platform. But this means there are significant privacy risks associated with the use of android based smartphone applications. In this paper the process...

article

Unconstrained palmprint as a smartphone biometric

Adrian-Stefan Ungureanu, Shejin Thavalengal, Timothée E. Cognard, Claudia Costache, more

IEEE Transactions on Consumer Electronics > 2017 > 63 > 3 > 334 - 342

In this work the use of palmprints as an alternative biometric for smartphones is investigated and its feasibility is evaluated across multiple devices using unconstrained acquisition. A novel multi-device database that covers a wide range of camera systems with data obtained in various conditions was built. This database contains palmprint images from 81 users acquired with 5 smartphones and is publicly...

article

Deep Learning for Consumer Devices and Services: Pushing the limits for machine learning, artificial intelligence, and computer vision.

Joe Lemley, Shabab Bazrafkan, Peter Corcoran

IEEE Consumer Electronics Magazine > 2017 > 6 > 2 > 48 - 56

In the last few years, we have witnessed an exponential growth in research activity into the advanced training of convolutional neural networks (CNNs), a field that has become known as deep learning. This has been triggered by a combination of the availability of significantly larger data sets, thanks in part to a corresponding growth in big data, and the arrival of new graphics-processing-unit (GPU)-based...

article

Mobile-Edge Computing and Internet of Things for Consumers: Part II: Energy efficiency, connectivity, and economic development

Peter Corcoran

IEEE Consumer Electronics Magazine > 2017 > 6 > 1 > 51 - 52

Welcome to our second special section on mobile-edge computing (MEC) and the Internet of Things (IoT), with a focus on consumer systems and applications. As we see the Internet continue to evolve, it is clear that its infrastructure will continue to face new challenges. Over the past decade or so, we have witnessed mobile devices-smartphones in particular-emerge as one of the strongest drivers of...

article

A Review and Analysis of Eye-Gaze Estimation Systems, Algorithms and Performance Evaluation Methods in Consumer Platforms

Anuradha Kar, Peter Corcoran

IEEE Access > 2017 > 5 > 16495 - 16519

In this paper, a review is presented for the research on eye gaze estimation techniques and applications, which has progressed in diverse ways over the past two decades. Several generic eye gaze use-cases are identified: desktop, TV, head-mounted, automotive, and handheld devices. Analysis of the literature leads to the identification of several platform specific factors that influence gaze tracking...

chapter

Real-time automotive street-scene mapping through fusion of improved stereo depth and fast feature detection algorithms

Hossein Javidnia, Peter Corcoran

2017 IEEE International Conference on Consumer Electronics (ICCE) > 225 - 228

2017 IEEE International Conference on Consumer Electronics (ICCE)

The real-time tracking of street scenes as a vehicle is driving is a key enabling technology for autonomous vehicles. In this work we provide the basis for such a system through combining an improved advanced random walk with restart technique for stereo depth determination with fast, robust feature detection. The enables tracking and mapping of a wide range of scene structures which can be readily...

chapter

Privacy concerns on Android devices

Asma Khatoon, Peter Corcoran

2017 IEEE International Conference on Consumer Electronics (ICCE) > 149 - 152

2017 IEEE International Conference on Consumer Electronics (ICCE)

Smartphones have become conduits for our most personal information and data. When one wants to install an app on their device, they have to allow the apps to access their camera, internet, location etc. This can lead to privacy issues and affect the user privacy. For example, granting privileges to location leads to tracking the user through their phone. In this paper, privacy issues of android system...

chapter

Deep learning for facial expression recognition: A step closer to a smartphone that knows your moods

Shabab Bazrafkan, Tudor Nedelcu, Pawel Filipczuk, Peter Corcoran

2017 IEEE International Conference on Consumer Electronics (ICCE) > 217 - 220

2017 IEEE International Conference on Consumer Electronics (ICCE)

By growing the capacity and processing power of the handheld devices nowadays, a wide range of capabilities can be implemented in these devices to make them more intelligent and user friendly. Determining the mood of the user can be used in order to provide suitable reactions from the device in different conditions. One of the most studied ways of mood detection is by using facial expressions, which...

article

Smart Augmentation Learning an Optimal Data Augmentation Strategy

Joseph Lemley, Shabab Bazrafkan, Peter Corcoran

IEEE Access > 2017 > 5 > 5858 - 5869

A recurring problem faced when training neural networks is that there is typically not enough data to maximize the generalization capability of deep neural networks. There are many techniques to address this, including data augmentation, dropout, and transfer learning. In this paper, we introduce an additional method, which we call smart augmentation and we show how to use it to increase the accuracy...

article

Weep I Cannot, But My Heart Bleeds... [Notes from the Editor]

Peter Corcoran

IEEE Consumer Electronics Magazine > 2016 > 5 > 4 > 3 - 4

Presents comments from the outgoing editor for this publication.

article

Mobile-Edge Computing and the Internet of Things for Consumers: Extending cloud computing and services to the edge of the network.

Peter Corcoran, Soumya Kanti Datta

IEEE Consumer Electronics Magazine > 2016 > 5 > 4 > 73 - 74

Current activities in the Internet of Things (IoT) are focused on architectures, protocols, and networking for the efficient interconnection of heterogeneous things, infrastructure deployment, and creation of value-added services. The majority of the IoT products, services, and platforms are supported by cloud-computing platforms. With the IoT being a multidisciplinary ecosystem, it is now being utilized...

chapter

Towards the development of a standardized performance evaluation framework for eye gaze estimation systems in consumer platforms

Anuradha Kar, Peter Corcoran

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) > 2061 - 2066

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

There is a need to standardize the performance of eye gaze estimation (EGE) methods in various platforms for human computer interaction (HCI). Because of lack of consistent schemes or protocols for summative evaluation of EGE systems, performance results in this field can neither be compared nor reproduced with any consistency. In contemporary literature, gaze tracking accuracy is measured under non-identical...

article

IEEE CE Society Attends OpenFog Members Meeting at Princeton University [Society News]

Peter Corcoran

IEEE Consumer Electronics Magazine > 2016 > 5 > 4 > 10 - 12

Presents recent events and activities of the CE Society.

article

Smartphones, Biometrics, and a Brave New World

Peter Corcoran, Claudia Costache

IEEE Technology and Society Magazine > 2016 > 35 > 3 > 59 - 66

The use of biometrics to identify people goes back more than 130 years to the work of Alphonse Bertillon, an early pioneer from the French Police force who developed an anthropometric identification system for suspects in the 1880s. In popular fiction, Mark Twain wrote in Life on the Mississippi, also in the 1880s, about how a murderer was identified using fingerprint identification.

article

Privacy in the Age of the Smartphone

Peter Corcoran

IEEE Potentials > 2016 > 35 > 5 > 30 - 35

There is no doubt that we live in an age of persistent connectedness and are increasingly empowered as individuals to generate large volumes of digital data. This can range from simple text messages and e-mail, to photographs, video clips, and a broad range of metadata ranging from our location throughout the day to the webpages we browse, the online stores we visit, the travel arrangements we make,...

article

The Battle for Privacy In Your Pocket [Notes from the Editor]

Peter Corcoran

IEEE Consumer Electronics Magazine > 2016 > 5 > 3 > 3 - 36

Presents the introductory editorial for this issue of the publication.

article

Advance Romance at ICCE 2017 [Conference Reports]

Peter Corcoran

IEEE Consumer Electronics Magazine > 2016 > 5 > 3 > 27 - 34

Presents information on ICCE 2017.

chapter

A realistic evaluation of iris presentation attack detection

Ana F. Sequeira, Shejin Thavalengal, James Ferryman, Peter Corcoran, more

2016 39th International Conference on Telecommunications and Signal Processing (TSP) > 660 - 664

2016 39th International Conference on Telecommunications and Signal Processing (TSP)

Iris liveness detection methods have been developed to overcome the vulnerability of iris biometric systems to spoofing attacks. In the literature, it is typically assumed that a known attack modality will be perpetrated. Then liveness models are designed using labelled samples from both real/live and fake/spoof distributions, the latter derived from the assumed attack modality. In this work it is...

article

Iris liveness detection for next generation smartphones

Shejin Thavalengal, Tudor Nedelcu, Petronel Bigioi, Peter Corcoran

IEEE Transactions on Consumer Electronics > 2016 > 62 > 2 > 95 - 102

This paper presents a novel liveness detection method that exploits the acquisition workflow for iris biometrics on smartphones using a hybrid visible (RGB)/near infra-red (NIR) sensor. These devices are able to capture both RGB and NIR images of the eye and iris region in synchronization. This multi-spectral information is mapped into a discrete feature space. An intermediate classifier which uses...

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Search results for: Peter Corcoran

A Sneak Preview of ICCE 2018 [Conference Reports]

Android permission system and user privacy — A review of concept and approaches

Unconstrained palmprint as a smartphone biometric

Deep Learning for Consumer Devices and Services: Pushing the limits for machine learning, artificial intelligence, and computer vision.

Mobile-Edge Computing and Internet of Things for Consumers: Part II: Energy efficiency, connectivity, and economic development

A Review and Analysis of Eye-Gaze Estimation Systems, Algorithms and Performance Evaluation Methods in Consumer Platforms

Real-time automotive street-scene mapping through fusion of improved stereo depth and fast feature detection algorithms

Privacy concerns on Android devices

Deep learning for facial expression recognition: A step closer to a smartphone that knows your moods

Smart Augmentation Learning an Optimal Data Augmentation Strategy

Weep I Cannot, But My Heart Bleeds... [Notes from the Editor]

Mobile-Edge Computing and the Internet of Things for Consumers: Extending cloud computing and services to the edge of the network.

Towards the development of a standardized performance evaluation framework for eye gaze estimation systems in consumer platforms

IEEE CE Society Attends OpenFog Members Meeting at Princeton University [Society News]

Smartphones, Biometrics, and a Brave New World

Privacy in the Age of the Smartphone

The Battle for Privacy In Your Pocket [Notes from the Editor]

Advance Romance at ICCE 2017 [Conference Reports]

A realistic evaluation of iris presentation attack detection

Iris liveness detection for next generation smartphones

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