[HTML][HTML] A systematic survey on multimodal emotion recognition using learning algorithms
Emotion recognition is the process to detect, evaluate, interpret, and respond to people's
emotional states and emotions, ranging from happiness to fear to humiliation. The COVID-19 …
emotional states and emotions, ranging from happiness to fear to humiliation. The COVID-19 …
EEG-based multimodal emotion recognition: a machine learning perspective
Emotion, a fundamental trait of human beings, plays a pivotal role in shaping aspects of our
lives, including our cognitive and perceptual abilities. Hence, emotion recognition also is …
lives, including our cognitive and perceptual abilities. Hence, emotion recognition also is …
Using facial micro-expressions in combination with EEG and physiological signals for emotion recognition
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 …
Recognizing emotions is becoming more critical in a wide range of application domains …
Stressid: a multimodal dataset for stress identification
H Chaptoukaev, V Strizhkova… - Advances in …, 2023 - proceedings.neurips.cc
StressID is a new dataset specifically designed for stress identification fromunimodal and
multimodal data. It contains videos of facial expressions, audiorecordings, and physiological …
multimodal data. It contains videos of facial expressions, audiorecordings, and physiological …
Emotion recognition in conversations using brain and physiological signals
N Saffaryazdi, Y Goonesekera, N Saffaryazdi… - Proceedings of the 27th …, 2022 - dl.acm.org
Emotions are complicated psycho-physiological processes that are related to numerous
external and internal changes in the body. They play an essential role in human-human …
external and internal changes in the body. They play an essential role in human-human …
The fusion of electroencephalography and facial expression for continuous emotion recognition
D Li, Z Wang, C Wang, S Liu, W Chi, E Dong… - IEEE …, 2019 - ieeexplore.ieee.org
Recently, the study of emotion recognition has received increasing attentions by the rapid
development of noninvasive sensor technologies, machine learning algorithms and …
development of noninvasive sensor technologies, machine learning algorithms and …
Facial expression and EEG fusion for investigating continuous emotions of deaf subjects
Y Yang, Q Gao, X Song, Y Song, Z Mao… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Emotion recognition has received increasing attention in human-computer interaction (HCI)
and psychological assessment. Compared with single modal emotion recognition, the …
and psychological assessment. Compared with single modal emotion recognition, the …
Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective
Multimodal affective computing (MAC) has garnered increasing attention due to its broad
applications in analyzing human behaviors and intentions, especially in text-dominated …
applications in analyzing human behaviors and intentions, especially in text-dominated …
Multi-modal mood reader: Pre-trained model empowers cross-subject emotion recognition
Emotion recognition based on Electroencephalography (EEG) has gained significant
attention and diversified development in fields such as neural signal processing and …
attention and diversified development in fields such as neural signal processing and …
Advancements in affective disorder detection: Using multimodal physiological signals and neuromorphic computing based on snns
Currently, the integration of artificial intelligence (AI) techniques with multimodal
physiological signals represents a pivotal approach to detect affective disorders (ADs). With …
physiological signals represents a pivotal approach to detect affective disorders (ADs). With …