purpose: to assess three main emotions (happy, sad and calm) by various classifiers, using appropriate feature extraction and feature selection. materials and methods: in this study a combination of power spectral density and a series of statistical features are proposed as statistical-frequency features. next, a feature selection method from pattern recognition (pr) tools is presented to extra...

in this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classifypatterns of different classes in the feature space. the introduced mutation operators and chaotic sequences allows us to overcomethe problem of early convergence into a local minima associated with particle swarm optimization algorithms. that is, the mutationope...

Human activity recognition (HAR) has become one of the most active research topics in image processing and pattern recognition [1]. Detecting specific activities in a live feed or searching in video archives still relies almost completely on human resources. Detecting multiple activities in real-time video feeds is currently performed by assigning multiple analysts to simultaneously watch the s...

2 Assistant Professor PET Engineering College, Vallioor ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Speech recognition is a subjective phenomenon. This procedure still faces a considerable measure of issue. Different techniques are utilized for various purposes. In this work of project, it i...

palmprint recognition is a new biometrics system based on physiological characteristics of the palmprint, which includes rich, stable, and unique features such as lines, points, and texture. texture is one of the most important features extracted from low resolution images. in this paper, a new local descriptor, local composition derivative pattern (lcdp) is proposed to extract smartly stronger...

according to the mother's key roles in bringing up emotional and cognitive abilities of mentally retarded children and respect to positive psychology in recent decades, this research is administered to assess the relation between mother's happiness level with cognitive- executive functions (i.e. attention, working memory, inhibition and planning) and facial emotional recognition ability as two ...

Borderline personality disorder (BPD) is characterized by distinct impairments in emotion regulation, resulting in affective instability especially in the social context. It has been suggested that impaired social cognitive functioning such as impaired facial emotion recognition contributes to the social disturbances in BPD. In accordance with this notion, a number of behavioral studies have re...

Fuzzy-Attribute Graph (FAG) was proposed to handle fuzziness in the pattern primitives in structural pattern recognition. FAG has the advantage that we can combine several possible definitions into a single template, and hence only one matching is required instead of one for each definition. Also, each vertex or edge of the graph can contain fuzzy attributes to model real-life situations. Howev...