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Dominant and Complementary Emotion Recognition From Still Images of Faces
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018)
Emotion recognition has a key role in affective computing. Recently, fine-grained emotion analysis, such as compound facial expression of emotions, has attracted high interest of researchers working on affective computing. ...
Automatic speech based emotion recognition using paralinguistics features
(POLSKA AKAD NAUK, 2019)
Affective computing studies and develops systems capable of detecting humans affects. The search for universal well-performing features for speech-based emotion recognition is ongoing. In this paper, a small set of features ...
A new low-complexity patch-based image super-resolution
(INST ENGINEERING TECHNOLOGY-IET, 2017-10)
In this study, a novel single image super-resolution (SR) method, which uses a generated dictionary from pairs of high-resolution (HR) images and their corresponding low-resolution (LR) representations, is proposed. First, ...
Optimal design of a spherical parallel manipulator based on kinetostatic performance using evolutionary techniques
(KOREAN SOC MECHANICAL ENGINEERS, 2016-03)
This study aims to provide an optimal design for a Spherical parallel manipulator (SPM), namely, the Agile Eye. This aim is approached by investigating kinetostatic performance and workspace and searching for the most ...
Vocal-based emotion recognition using random forests and decision tree
(SPRINGER, 2017-06)
This paper proposes a new vocal-based emotion recognition method using random forests, where pairs of the features on the whole speech signal, namely, pitch, intensity, the first four formants, the first four formants ...
Real-time ensemble based face recognition system for NAO humanoids using local binary pattern
(SPRINGER, 2017-09)
NAO humanoid robots are being used in many human-robot interaction applications. One of the important existing challenges is developing an accurate real-time face recognition system which does not require to have high ...
Supervised Vocal-Based Emotion Recognition Using Multiclass Support Vector Machine, Random Forests, and Adaboost
(AUDIO ENGINEERING SOC, 2017-07)
This paper investigates and compares three different classifiers-multi-class Support Vector Machine, Adaboost, and random forests-for the purpose of vocal emotion recognition. Additionally, the decisions of all classifiers ...
Real-time, automatic digi-tailor mannequin robot adjustment based on human body classification through supervised learning
(SAGE PUBLICATIONS INC, 2017-06-12)
Although mannequin robots have been in use in the context of fit advising, most of the modules involved in the process of online try-on still demand manual calculations, operations and adjustments. This article overcomes ...
Classification of Alzheimer's Disease and Prediction of Mild Cognitive Impairment Conversion Using Histogram-Based Analysis of Patient-Specific Anatomical Brain Connectivity Networks
(IOS PRESS, 2017)
In this study, we investigated the early detection of Alzheimer's disease (AD) and mild cognitive impairment (MCI) conversion to AD through individual structural connectivity networks using structural magnetic resonance ...
Audio-Visual Emotion Recognition in Video Clips
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019-01)
This paper presents a multimodal emotion recognition system, which is based on the analysis of audio and visual cues. From the audio channel, Mel-Frequency Cepstral Coefficients, Filter Bank Energies and prosodic features ...
