Objective measures, sensors and computational techniques for stress recognition and classification: A survey

N Sharma, T Gedeon - Computer methods and programs in biomedicine, 2012 - Elsevier
Stress is a major growing concern in our day and age adversely impacting both individuals
and society. Stress research has a wide range of benefits from improving personal …

YawDD: A yawning detection dataset

S Abtahi, M Omidyeganeh, S Shirmohammadi… - Proceedings of the 5th …, 2014 - dl.acm.org
In this paper, we present two video datasets of drivers with various facial characteristics, to
be used for designing and testing algorithms and models for yawning detection. For …

Facial expression recognition in image sequences using geometric deformation features and support vector machines

I Kotsia, I Pitas - IEEE transactions on image processing, 2006 - ieeexplore.ieee.org
In this paper, two novel methods for facial expression recognition in facial image sequences
are presented. The user has to manually place some of Candide grid nodes to face …

[PDF][PDF] Short text classification: a survey.

G Song, Y Ye, X Du, X Huang, S Bie - Journal of multimedia, 2014 - Citeseer
With the recent explosive growth of e-commerce and online communication, a new genre of
text, short text, has been extensively applied in many areas. So many researches focus on …

Facial expression emotion recognition model integrating philosophy and machine learning theory

Z Song - Frontiers in Psychology, 2021 - frontiersin.org
Facial expression emotion recognition is an intuitive reflection of a person's mental state,
which contains rich emotional information, and is one of the most important forms of …

Facial expression recognition utilizing local direction-based robust features and deep belief network

MZ Uddin, MM Hassan, A Almogren, A Alamri… - IEEE …, 2017 - ieeexplore.ieee.org
Emotional health plays very vital role to improve people's quality of lives, especially for the
elderly. Negative emotional states can lead to social or mental health problems. To cope …

A video database of moving faces and people

AJ O'Toole, J Harms, SL Snow, DR Hurst… - … on pattern analysis …, 2005 - ieeexplore.ieee.org
We describe a database of static images and video clips of human faces and people that is
useful for testing algorithms for face and person recognition, head/eye tracking, and …

Performance comparisons of facial expression recognition in JAFFE database

FY Shih, CF Chuang, PSP Wang - International Journal of Pattern …, 2008 - World Scientific
Facial expression provides an important behavioral measure for studies of emotion,
cognitive processes, and social interaction. Facial expression recognition has recently …

Facial expressions classification and false label reduction using LDA and threefold SVM

JH Shah, M Sharif, M Yasmin, SL Fernandes - Pattern Recognition Letters, 2020 - Elsevier
Abstract Representation and classification of multi-dimensional data are current key
research areas. The representation of data in two classes is more feasible than multi-class …

Towards emotion detection in educational scenarios from facial expressions and body movements through multimodal approaches

M Saneiro, OC Santos… - The Scientific World …, 2014 - Wiley Online Library
We report current findings when considering video recordings of facial expressions and
body movements to provide affective personalized support in an educational context from an …