A review on automatic facial expression recognition systems assisted by multimodal sensor data
Facial Expression Recognition (FER) can be widely applied to various research areas, such
as mental diseases diagnosis and human social/physiological interaction detection. With the …
as mental diseases diagnosis and human social/physiological interaction detection. With the …
Emotion recognition from multiband EEG signals using CapsNet
H Chao, L Dong, Y Liu, B Lu - Sensors, 2019 - mdpi.com
Emotion recognition based on multi-channel electroencephalograph (EEG) signals is
becoming increasingly attractive. However, the conventional methods ignore the spatial …
becoming increasingly attractive. However, the conventional methods ignore the spatial …
PPGface: Like what you are watching? Earphones can" feel" your facial expressions
Recognition of facial expressions has been widely explored to represent people's emotional
states. Existing facial expression recognition systems primarily rely on external cameras …
states. Existing facial expression recognition systems primarily rely on external cameras …
Stress classification using brain signals based on LSTM network
The early diagnosis of stress symptoms is essential for preventing various mental disorder
such as depression. Electroencephalography (EEG) signals are frequently employed in …
such as depression. Electroencephalography (EEG) signals are frequently employed in …
Efficient labelling of affective video datasets via few-shot & multi-task contrastive learning
Whilst deep learning techniques have achieved excellent emotion prediction, they still
require large amounts of labelled training data, which are (a) onerous and tedious to …
require large amounts of labelled training data, which are (a) onerous and tedious to …
The eyes know it: Fakeet-an eye-tracking database to understand deepfake perception
We present FakeET--an eye-tracking database to understand human visual perception of
deepfake videos. Given that the principal purpose of deepfakes is to deceive human …
deepfake videos. Given that the principal purpose of deepfakes is to deceive human …
Immersion measurement in watching videos using eye-tracking data
Immersion plays a crucial role in video watching, leading viewers to a positive experience,
such as increased engagement and decreased fatigue. However, few studies measure …
such as increased engagement and decreased fatigue. However, few studies measure …
CiABL: Completeness-induced Adaptative Broad Learning for Cross-Subject Emotion Recognition with EEG and Eye Movement Signals
Although multimodal physiological data from the central and peripheral nervous systems
can objectively respond to human emotional states, the individual differences caused by non …
can objectively respond to human emotional states, the individual differences caused by non …
A hybrid model for EEG-based gender recognition
P Wang, J Hu - Cognitive neurodynamics, 2019 - Springer
The gender recognition is an important research field to study evidence regarding some
personal characteristics in the information and data society. However, some current …
personal characteristics in the information and data society. However, some current …
An EEG-based image annotation system
The success of deep learning in computer vision has greatly increased the need for
annotated image datasets. We propose an EEG (Electroencephalogram)-based image …
annotated image datasets. We propose an EEG (Electroencephalogram)-based image …