We compared the records of paediatric palliative consultations undertaken face-to-face, with telemedicine consultations undertaken in patients' homes. A convenience sample of consecutive paediatric palliative care patients was identified from the hospital's palliative care database. A total of 100 consultations was reviewed (50 telemedicine consultations during home visits and 50 face-to-face c...

The methods for face-detection and facial-feature and component extraction exist in the literature are different in their complexity, performance, type, and nature of the images and the targeted application. The facial features and components are used in medical diagnoses, security applications, robotics, and assistance for the disabled. We use these components and feature to determine the stat...

The effects of short-term learning on memory for inverted, contrast-reversed and upright faces were investigated using event-related potentials (ERPs) in a target/nontarget discrimination task following a learning phase of the target. Subjects were equally accurate for all three face types although responding more slowly to inverted and negative faces compared to upright faces. Face type affect...

This study explored the equivalence of physical function assessment by physical therapists (PTs) during face-to-face and remote administration of the European Stroke Scale (ESS) and the Functional Reach Test (FRT) to 26 subjects with a history of stroke. Patients were randomized to remote or face-to-face administration groups. Each patient was simultaneously rated by both the face-to-face and r...

This paper presents an algorithm which detects automatically the feature points in a face image. This is a fundamental task in many applications, in particular in an automatic face recognition system. Starting from a frontal face image with a plain background we have effected an image segmentation to detect the different facial components (eyebrow, eyes, nose, mouth and chin). After this we hav...

The purpose of this chapter is to introduce a few components that are common to most (if not all) pattern recognition or machine learning systems, including a few key concepts and building blocks. Some commonly encountered issues are also discussed. We will use face recognition as an example to introduce these components, and use the nearest neighbor classifier as a simple solution to the face ...

introduction phenylketonuria (pku) is a congenital metabolic disorder of phenylalanine, if which, the diet is not to be followed exactly, it can lead to progressive mental retardation. the purpose of this study was to investigate the effect of face to face and non-face to face trainings by parental on controlling serum phenylalanine levels in the children with phenylketonuria. materials and met...

Edge removal and multi-face removal are two types of local topological transformation that are useful components of a tetrahedral mesh improvement method. This paper offers an algorithm to identify the optimal edge removal transformation that removes a specified edge, and an algorithm to identify the optimal multi-face removal transformation that removes a specified face.

Face recognition is one among the several techniques for identification and verification of an individual. The approach in the present work transforms face images into a small set of characteristic feature images called eigenfaces, which are the principal components of the initial training set of face images. Recognition is performed by projecting a new image into subspace spanned by eigenfaces...

Although face perception is commonly characterized as holistic, as opposed to part-based, we have recently shown that both face parts and wholes are represented in "face-selective" cortical regions, with greater adaptation of holistic representations for familiar faces (A. Harris & G. K. Aguirre, 2008). Here we investigate the time course of these holistic and part-based face processing effects...