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In this work, we present a system that estimates a user's focus of attention in front of a computer screen, using a Web camera, based on detection and tracking of the user's head position and eye movements. Utilizing machine learning concepts, the system gives real time feedback on the user's attention, by combining information coming from eye gaze, head pose, and distance from the screen. The system...
Dyslexia is a major barrier to success in education and later on the job as reading skills are fundamental for personal competence development. Children with dyslexia have special learning needs (e.g., more teacher support), which currently only specialized institutions can provide. However, this takes children out of their peer group and causes social problems. On the other side, there is general-purpose...
In this paper, an affine invariant curve matching method using curvature scale-space and normalization is proposed. Prior to curve matching, curve normalization with respect to affine transformations is applied, allowing a lossless affine invariant curve representation. The maxima points of the curvature scale-space (CSS) image are then used to represent the normalized curve, while retaining the local...
When users of computer systems are given the opportunity to provide feedback on their preferences or interests in most cases they are presented with a questionnaire to be filled. However, this means of interaction requires an additional cognitive step, since the user is required to rationalize feelings and attitudes by answering predetermined questions; as a result, users often skip this part or answer...
In this paper, an affine invariant watermarking scheme, robust to geometric attacks, is proposed and applied to face regions. Initially, face regions are unsupervisedly extracted from an initial image and a normalization procedure, invariant to geometric attacks is applied on each of these regions using a set of specific moment criteria. A spread spectrum-based DS-CDMA watermarking scheme is then...
A novel human face watermarking scheme is proposed in this paper, providing copyright protection of semantic content. To achieve this goal, skin detection is initially performed using a skin filter, which relies on color information and then, face extraction is achieved using a combination of a morphological filter and a human face template. An invariant watermark is then designed and tested against...
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