Using Facial Micro-Expressions in Combination With EEG and Physiological Signals for Emotion Recognition [PDF]
Emotions are multimodal processes that play a crucial role in our everyday lives. Recognizing emotions is becoming more critical in a wide range of application domains such as healthcare, education, human-computer interaction, Virtual Reality ...
Nastaran Saffaryazdi +6 more
doaj +2 more sources
Horses (Equus caballus) facial micro-expressions: insight into discreet social information [PDF]
Facial micro-expressions are facial expressions expressed briefly (less than 500 ms) and involuntarily. Described only in humans, we investigated whether micro-expressions could also be expressed by non-human animal species.
Claude Tomberg +2 more
doaj +2 more sources
Training Emotion Recognition Accuracy: Results for Multimodal Expressions and Facial Micro Expressions [PDF]
Nonverbal emotion recognition accuracy (ERA) is a central feature of successful communication and interaction, and is of importance for many professions. We developed and evaluated two ERA training programs—one focusing on dynamic multimodal expressions (
Lillian Döllinger +6 more
doaj +2 more sources
Macro- and Micro-Expressions Facial Datasets: A Survey [PDF]
Automatic facial expression recognition is essential for many potential applications. Thus, having a clear overview on existing datasets that have been investigated within the framework of face expression recognition is of paramount importance in ...
Hajer Guerdelli +4 more
doaj +4 more sources
Objective Classes for Micro-Facial Expression Recognition
Micro-expressions are brief spontaneous facial expressions that appear on a face when a person conceals an emotion, making them different to normal facial expressions in subtlety and duration.
Adrian K. Davison +2 more
doaj +3 more sources
Synthesising Facial Macro- and Micro-Expressions Using Reference Guided Style Transfer [PDF]
Long video datasets of facial macro- and micro-expressions remains in strong demand with the current dominance of data-hungry deep learning methods. There are limited methods of generating long videos which contain micro-expressions. Moreover, there is a
Chuin Hong Yap +3 more
doaj +4 more sources
Facial Micro-Expressions: An Overview
Abstract Micro-expression (ME) is an involuntary, fleeting, and subtle facial expression. It may occur in high-stake situations when people attempt to conceal or suppress their true feelings. Therefore, MEs can provide essential clues to people’s true feelings and have plenty of potential applications, such as national security, clinical diagnosis, and
Zhao Guoying +3 more
openaire +3 more sources
Affection of facial artifacts caused by micro-expressions on electroencephalography signals
Macro-expressions are widely used in emotion recognition based on electroencephalography (EEG) because of their use as an intuitive external expression.
Xiaomei Zeng +23 more
doaj +1 more source
Spontaneous Facial Expressions and Micro-expressions Coding: From Brain to Face
Facial expressions are a vital way for humans to show their perceived emotions. It is convenient for detecting and recognizing expressions or micro-expressions by annotating a lot of data in deep learning. However, the study of video-based expressions or
Zizhao Dong +7 more
doaj +1 more source
LARNet: Real-Time Detection of Facial Micro Expression Using Lossless Attention Residual Network
Facial micro expressions are brief, spontaneous, and crucial emotions deep inside the mind, reflecting the actual thoughts for that moment. Humans can cover their emotions on a large scale, but their actual intentions and emotions can be extracted at a ...
Mohammad Farukh Hashmi +6 more
doaj +1 more source

