An Intelligent Scheme for Facial Expression Recognition

ICANN/ICONIP 2003,(2003,Istanbul,Turkey)This paper addresses the problem of emotion recognition in faces through an intelligent neuro-fuzzy system, which is capable of analysing facial features extracted following the MPEG-4 standard, associating these features to symbolic fuzzy predicates, and reasoning on the latter, so as to classify facial images according to the underlying emotional states. Results are presented which illustrate the capability of the developed system to analyse and recognise facial expressions in human computer interaction applications

Adaptive Rule-Based Facial Expression Recognition

Third Hellenic Conference on AI, SETN 2004, Samos, Greece, May 5-8, 2004. Proceedings.This paper addresses the problem of emotion recognition in faces through an intelligent neuro- fuzzy system, which is capable of analysing facial features extracted following the MPEG-4 standard and classifying facial images according to the underlying emotional states, following rules derived from expression profiles. Results are presented which illustrate the capability of the developed system to analyse and recognise facial expressions in man-machine interaction applications

Structure of the phytoplankton in a water supply system in the State of Pernambuco - Brazil

The aim of this work was to study the phytoplankton community composition at limnetic environment in Pernambuco, Brazil. Samplings were carried out from April/2001 to March/2002. Samples to analyses the biotic variables were taken using a recipient with a large overture, at the subsurface and with a Van Dorn bottle at the bottom. The rainfall data were recorded and the water transparency was used to calculate the light attenuation coefficient, photic zone and the determination of trophic state index. The concentrations of total phosphorus and total nitrogen were determined in a typical dry and rainy month. Equitability, also the, similarity and diversity indexes and the densities and correlation of total densities among depths were calculated. Forty-five taxa were identified in Chlorophyta (21spp), Cyanophyta (17spp) and Bacillariophyta (7spp), while flagellates were quantified in groups without identification. Cyanophyta presented highest diversity at both the depths and Planktothrix agardhii was the highest density species. Significant differences were not observed between subsurface and bottom densities. Results showed that the reservoir was eutrophicated and presented high densities of Cyanophyta.<br>O objetivo deste trabalho foi o estudo da comunidade fitoplanctônica em ambiente limnético de Pernambuco, Brasil. As amostras foram coletadas de abril/2001 a março/2002. As amostras para análises abióticas foram coletadas na superfície da água e destinadas às análises bióticas foram coletadas na subsuperfície e no fundo, sendo fixadas com solução de lugol e quantificadas usando microscópio invertido. Equitatividade, índices de similaridade e diversidade foram calculados, bem como correlação entre as profundidades. 45 táxons foram identificados, pertencentes as Chlorophyta (21spp), Cyanophyta (17spp) e Bacillariophyta (7spp). Os flagelados foram apenas quantificados, mas não foram identificados. Cyanophyta apresentou a mais alta diversidade em ambas as profundidades e Planktothrix agardhii foi a espécie que apresentou a maior densidade. Diferenças significativas quanto às densidades não foram observadas entre subsuperfície e fundo. O reservatório encontra-se eutrofizado, sendo encontradas altas densidades de Cyanophyta durante todo o período de estudo