Real time face detection combined with eyegaze tracking can provide a means of user input into a gaming environment. Game and CE system designers can use facial and eye-gaze information in various ways to enhance UI design providing smarter modes of gameplay interaction and UI modalities that are sensitive to a users behaviors and mood. Here we review earlier approaches, using wearable sensors, or enhanced IR illumination. Our technique only requires video feed from a low-resolution user-facing camera. The algorithm is described and some comparative results on a range of embedded hardware are provided. The potential for using eye-gaze as a means of direct user input and improving the accuracy of estimation accordingly is also discussed. 1

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 a distance metric close to Jenson-Shannon divergence is employed to classify the incoming image. Further, a fast, multi-frame pupil localization technique using onedimensional processing of the eye region is proposed and evaluated. This is used to analyze the pupil characteristics of the images classified as 'live' in the previous stage. It is shown that such an analysis could detect presentation attacks, even with a 3-D face model made of materials that has properties similar to human skin and the ocular region 1 .

A server infrastructure allows wireless wearable appliances or portable handsets to access consumer services offered via the server. Services are accessed via a Universal Home Services Interface (UHSI) which is shared by all access devices. The UHSI can include a voice-activated interface to simplify usage from non-graphical terminals. In a home network the infrastructure resides on a home gateway or central home computer and allows users access to local subsystems or extemal ' WAN services. An implementation based on a Universal Plug and Play (UPnP) home network is described.

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PublicationDate 2015 Publication InformationThavalengal, S.; Bigioi, P.; Corcoran, P., "Evaluation of combined visible/NIR camera for iris authentication on smartphones," AbstractIris biometrics provide a mature and robust method of authentication, but are typically applied in a controlled environment and under constrained acquisition conditions. In this paper, the adaption of iris biometrics for unconstrained, hand-held use cases such as smartphones is investigated. A prototype optics-sensor combination is analysed in terms of its optical properties and iris imaging capabilities. The corresponding camera system with dual visible/NIR sensing capabilities and 4 Megapixel resolution is tested for suitability to implement iris recognition on smartphones. Recognition performance is analysed together with image quality comparisons. Preliminary results indicate that there are challenges to achieve reliable recognition performance in unconstrained use cases. Current optical systems are not diffraction limited, particularly at NIR wavelengths; pixel resolutions are close to the useful limits for iris recognition and acquisition conditions are challenging. Nevertheless, our findings indicate a similar camera module, with an improved optics and sensor, could combine biometric authentication with more conventional front-camera functions such as the capture of selfie images.