A novel approach for facial expression recognition based on Gabor filters and genetic algorithm
This paper introduces a new facial expression recognition method based on Gabor filters
and a genetic algorithm. Gabor features are extracted from regions of interest of the human …
and a genetic algorithm. Gabor features are extracted from regions of interest of the human …
A novel approach for facial expression recognition using local binary pattern with adaptive window
DGR Kola, SK Samayamantula - Multimedia Tools and Applications, 2021 - Springer
Abstract Facial Expression Recognition (FER) is an important area in human computer
interaction. FER has different applications such as analysis of student behaviour in virtual …
interaction. FER has different applications such as analysis of student behaviour in virtual …
Evaluation of data augmentation techniques for facial expression recognition systems
Most Facial Expression Recognition (FER) systems rely on machine learning approaches
that require large databases for an effective training. As these are not easily available, a …
that require large databases for an effective training. As these are not easily available, a …
Improvement of emotion recognition from facial images using deep learning and early stopping cross validation
M Bentoumi, M Daoud, M Benaouali… - Multimedia Tools and …, 2022 - Springer
Inthis paper, we present a new approach for emotion recognition from facial images. The
proposed method is based on the association of a pretrained convolutional neural network …
proposed method is based on the association of a pretrained convolutional neural network …
Estimation of yield and quality of legume and grass mixtures using partial least squares and support vector machine analysis of spectral data
The project aim was to estimate N uptake (N up), dry matter yield (DMY) and crude protein
concentration (CP) of forage crops both during typical harvest times and at a very early …
concentration (CP) of forage crops both during typical harvest times and at a very early …
AutoDep: automatic depression detection using facial expressions based on linear binary pattern descriptor
M Tadalagi, AM Joshi - Medical & biological engineering & computing, 2021 - Springer
The psychological health of a person plays an important role in their daily life activities. The
paper addresses depression issues with the machine learning model using facial …
paper addresses depression issues with the machine learning model using facial …
New framework for person-independent facial expression recognition combining textural and shape analysis through new feature extraction approach
Automatic facial expression recognition (FER) has been extensively studied owing to its
wide range of applications, such as in e-learning platforms used to automatically collect the …
wide range of applications, such as in e-learning platforms used to automatically collect the …
Time efficient real time facial expression recognition with CNN and transfer learning
T Podder, D Bhattacharya, A Majumdar - Sādhanā, 2022 - Springer
This study aims to design a real-time application to detect several human beings' universal
emotional levels simultaneously. The intra-class and inter-class variations present in images …
emotional levels simultaneously. The intra-class and inter-class variations present in images …
Facial emotion detection using modified eyemap–mouthmap algorithm on an enhanced image and classification with tensorflow
A Joseph, P Geetha - The Visual Computer, 2020 - Springer
Detection of emotion using facial expression is a growing field of research. Facial
expression detection is also helpful to identify the behavior of a person when a man interacts …
expression detection is also helpful to identify the behavior of a person when a man interacts …
Contour and region harmonic features for sub-local facial expression recognition
Expression recognition relies on intensity, edges, and geometry that overlooks the actual
shape curvatures of facial regions. This paper presents a novel two-stage approach to …
shape curvatures of facial regions. This paper presents a novel two-stage approach to …