Developers of novel or improved front-end circuits for biopotential recordings using dry electrodes face the challenge of validating their design. Dry electrodes allow more user-friendly and pervasive patient-monitoring, but proof is required that new devices can perform biopotential recording with a quality at least comparable to existing medical devices. Aside from electrical safety requireme...

a bstra ct      background: the purpose of this study was to examine the psychometric properties (validity and reliability) of persian version of the 25-item caring dimension inventory (cdi-25). materials and methods: a psychometric instrument validation study was designed. content validity, internal consistency, and stability were confirmed. a total of 288 participants (143 nurses and 145 nurs...

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...

Mobile devices have been widely used not only as a communication tool, but also a digital assistance to our daily life, which imposes high security concern on mobile devices. In this paper we present a natural and non-intrusive way to secure mobile devices, i.e. a complete and fully automated face verification system. It consists of three sub-systems: face detection, alignment and verification....

Emotions are part of our lives. Emotions can enhance the meaning of our communication. However, communication with computers is still done by keyboard and mouse. In this humancomputer interaction there is no room for emotions, whereas if we would communicate with machines the way we do in face-to-face communication much information can be extracted from the context and emotion of the speaker. W...

Face recognition system is a computer application for automatically identifying or verifying a person from a digital image from a source. One of the ways to do this is by comparing selected facial features from the image and a facial database. Face recognition involves three steps: Face Detection, Feature Extraction and Matching. Face detection method detect face area from the image using Viola...

A face feature selection and recognition method based on BPSO and SVMWrapper model is presented. To solve the problem that DCT coefficients dimension is higher for face recognition, we design a SVM-Wrapper model based on BPSO. In the process of training SVM, the cross-validation is used to training samples, and the recognition accuracy is used for defining the fitness function of BPSO feature s...

Each human face is unique. It has its own shape, topology, and distinguishing features. As such, developing and testing facial tracking systems are challenging tasks. The existing face recognition and tracking algorithms in Computer Vision mainly specify concrete situations according to particular goals and applications, requiring validation methodologies with data that fits their purposes. How...

This paper advances the methodology of hybrid classification architectures for face and hand gesture recognition tasks and shows their feasibility through experimental studies using the FERET data base and gesture images. The hybrid architecture, consisting of an ensemble of connectionist networks radial basis functions (RBF) and inductive decision trees (DT), combines the merits of 'holistic' ...

In video surveillance, person re-identification refers to recognizing individuals of interest from faces captured across a network of video cameras. Face recognition in such applications is challenging because faces are captured with limited spatial and temporal constraints. In addition, facial models for recognition are commonly designed using limited reference samples from faces captured unde...