© 2008 ICST. The objective of this study was to induce emotions in individuals to determine if specific facial movements could be detected and analysed by the optical flow technique. This analysis is in the form of motion vector plots. The procedure ascertains if specific emotions can be defined as a set of facial movements which are common to most people when they experience a particular emotion. 'Emotion vector maps' would then be established for specific emotions. These vector sets could then be applied to automated facial image analysis for security/forensic purposes. Individuals were videotaped while watching emotion-inducing short films. After the viewing of each short film, volunteers completed a brief self-reporting questionnaire to...
Emotion analytics is the study of human behavior by analyzing the responses when humans experience d...
Optical flow techniques are becoming increasingly performant and robust when estimating motion in a ...
NoThe purpose of this chapter is to discuss and present a computational framework for detecting and ...
© 2019, Springer Nature Switzerland AG. Investigation of emotions manifested through facial expressi...
© 2017 IEEE. Investigation of emotions manifested through facial expressions has valuable applicatio...
Artificial recognition of facial expression has attracted a lot of attention in the last few years a...
Human emotion identification from image sequences is highly demanded nowadays. The range of possible...
One of the popular methods for recognition of facial expressions such as happiness, sadness and surp...
Decision-making, perception, memory and social interactions are greatly driven by emotion. Emotions ...
This paper presents a spatio-temporal approach in recognizing six universal facial expressions from ...
Facial expression identifies the basic human emotions. It helps to tell the person by watching the i...
Emotions play a powerful role in people's thinking and behaviors. Emotions act as a compulsion to ta...
With the advances in the computer vision in the past few years, analysis of human facial expressions...
This paper presents a novel approach to recognize the six universal facial expressions from visual d...
This article shows how complex emotions are. This has been proven by the analysis of the changes tha...
Emotion analytics is the study of human behavior by analyzing the responses when humans experience d...
Optical flow techniques are becoming increasingly performant and robust when estimating motion in a ...
NoThe purpose of this chapter is to discuss and present a computational framework for detecting and ...
© 2019, Springer Nature Switzerland AG. Investigation of emotions manifested through facial expressi...
© 2017 IEEE. Investigation of emotions manifested through facial expressions has valuable applicatio...
Artificial recognition of facial expression has attracted a lot of attention in the last few years a...
Human emotion identification from image sequences is highly demanded nowadays. The range of possible...
One of the popular methods for recognition of facial expressions such as happiness, sadness and surp...
Decision-making, perception, memory and social interactions are greatly driven by emotion. Emotions ...
This paper presents a spatio-temporal approach in recognizing six universal facial expressions from ...
Facial expression identifies the basic human emotions. It helps to tell the person by watching the i...
Emotions play a powerful role in people's thinking and behaviors. Emotions act as a compulsion to ta...
With the advances in the computer vision in the past few years, analysis of human facial expressions...
This paper presents a novel approach to recognize the six universal facial expressions from visual d...
This article shows how complex emotions are. This has been proven by the analysis of the changes tha...
Emotion analytics is the study of human behavior by analyzing the responses when humans experience d...
Optical flow techniques are becoming increasingly performant and robust when estimating motion in a ...
NoThe purpose of this chapter is to discuss and present a computational framework for detecting and ...