There has recently been high interest in affective computing, especially in interfaces which can analyse their users’ emotional state. Automatic emotion recognition in faces is a hard problem, requiring a number of pre-processing steps which attempt to detect or track the face, to locate characteristic facial regions such as eyes, mouth and nose on it, to extract and follow the movement of faci...

OBJECTIVE Despite investigations into the rapid increase in eating disorders across diverse ethnic groups, conclusions concerning ethnicity and eating disorders are contradictory. The objective of the present study was to investigate eating attitudes in ethnic Japanese and Caucasian adolescents in Brazil. The influence of body mass index (BMI), menarche and social-affective relationships on the...

a r t i c l e i n f o Facial expression is central to human experience. Its efficiency and valid measurement are challenges that automated facial image analysis seeks to address. Most publically available databases are limited to 2D static images or video of posed facial behavior. Because posed and un-posed (aka " spontaneous ") facial expressions differ along several dimensions including compl...

Among the main challenges of the predictive brain/mind concept is how to link prediction at the neural level to prediction at the cognitive-psychological level and finding conceptually robust and empirically verifiable ways to harness this theoretical framework toward explaining higher-order mental and cognitive phenomena, including the subjective experience of aesthetic and symbolic forms. Bui...

Purpose This paper aims to verify the brand image effects of holding a sport mega-event by investigating host city's influence on country's branding, as tourist destination. Design/methodology/approach research considered Rio 2016 Olympic Games and uses quantitative methods: exploratory factor analysis regression. Data were collected structured questionnaires with sample ( n = 274) internationa...

Cognitive aging may be accompanied by increased prioritization of social and emotional goals that enhance positive experiences and emotional states. The socioemotional selectivity theory suggests this may be achieved by giving preference to positive information and avoiding or suppressing negative information. Although there is some evidence of a positivity bias in controlled attention tasks, i...

Visual object recognition is of fundamental importance in our everyday interaction with the environment. Recent models of visual perception emphasize the role of top-down predictions facilitating object recognition via initial guesses that limit the number of object representations that need to be considered. Several results suggest that this rapid and efficient object processing relies on the ...

Covert brain activity related to task-free, spontaneous (i.e. unrequested), emotional evaluation of human face images was analysed in 27-channel averaged event-related potential (ERP) map series recorded from 18 healthy subjects while observing random sequences of face images without further instructions. After recording, subjects self-rated each face image on a scale from "liked" to "disliked"...

This paper revisits recognition of natural image pleasantness by employing deep convolutional neural networks and affordable eye trackers. There exist several approaches to recognize image pleasantness: (1) computer vision, and (2) psychophysical signals. For natural images, computer vision approaches have not been as successful as for abstract paintings and is lagging behind the psychophysical...

The purpose of the study was to find out how image destination and tourist satisfaction influence on in tourism destinations Bengkulu Province. This research is a conclusive 150 tourists natural that are included Province Tourism Strategic Area Plan (TSAP). Tourist perception developed test hypothesis relationship model or effect impact satisfaction. data analysis methods used descriptive multi...