scholarly journals A Hybrid Emotional Facial Expression Recognition Algorithm using Enhanced Gabor Filter with AdaBoost Classifier

2019 ◽  
Vol 14 (18) ◽  
pp. 6634-6641
Author(s):  
Shaik Taj Mahaboob ◽  
S. Narayana Reddy ◽  
P. Jagadamba
2010 ◽  
Author(s):  
M. Fischer-Shofty ◽  
S. G. Shamay-Tsoorya ◽  
H. Harari ◽  
Y. Levkovitz

Fractals ◽  
2002 ◽  
Vol 10 (01) ◽  
pp. 47-52 ◽  
Author(s):  
TAKUMA TAKEHARA ◽  
FUMIO OCHIAI ◽  
NAOTO SUZUKI

Following the Mandelbrot's theory of fractals, many shapes and phenomena in nature have been suggested to be fractal. Even animal behavior and human physiological responses can also be represented as fractal. Here, we show the evidence that it is possible to apply the concept of fractals even to the facial expression recognition, which is one of the most important parts of human recognition. Rating data derived from judging morphed facial images were represented in the two-dimensional psychological space by multidimensional scaling of four different scales. The resultant perimeter of the structure of the emotion circumplex was fluctuated and was judged to have a fractal dimension of 1.18. The smaller the unit of measurement, the longer the length of the perimeter of the circumplex. In this study, we provide interdisciplinarily important evidence of fractality through its application to facial expression recognition.


2014 ◽  
Vol 20 (5) ◽  
pp. 496-505 ◽  
Author(s):  
Laura Alonso-Recio ◽  
Pilar Martín-Plasencia ◽  
Ángela Loeches-Alonso ◽  
Juan M. Serrano-Rodríguez

AbstractFacial expression recognition impairment has been reported in Parkinson’s disease. While some authors have referred to specific emotional disabilities, others view them as secondary to executive deficits frequently described in the disease, such as working memory. The present study aims to analyze the relationship between working memory and facial expression recognition abilities in Parkinson’s disease. We observed 50 patients with Parkinson’s disease and 49 healthy controls by means of an n-back procedure with four types of stimuli: emotional facial expressions, gender, spatial locations, and non-sense syllables. Other executive and visuospatial neuropsychological tests were also administered. Results showed that Parkinson’s disease patients with high levels of disability performed worse than healthy individuals on the emotional facial expression and spatial location tasks. Moreover, spatial location task performance was correlated with executive neuropsychological scores, but emotional facial expression was not. Thus, working memory seems to be altered in Parkinson’s disease, particularly in tasks that involve the appreciation of spatial relationships in stimuli. Additionally, non-executive, facial emotional recognition difficulty seems to be present and related to disease progression. (JINS, 2014, 20, 1–10)


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