Automated emotion recognition: Current trends and future perspectives
Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …
recognition has applications in multiple domains such as health care, e-learning …
A comprehensive survey on emotion recognition based on electroencephalograph (EEG) signals
K Kamble, J Sengupta - Multimedia Tools and Applications, 2023 - Springer
Emotion recognition using electroencephalography (EEG) is becoming an interesting topic
among researchers. It has made a remarkable entry in the domain of biomedical, smart …
among researchers. It has made a remarkable entry in the domain of biomedical, smart …
Target and source modality co-reinforcement for emotion understanding from asynchronous multimodal sequences
Perceiving human emotions from a multimodal perspective has received significant attention
in knowledge engineering communities. Due to the variable receiving frequency for …
in knowledge engineering communities. Due to the variable receiving frequency for …
Multimodal emotion recognition on RAVDESS dataset using transfer learning
Emotion Recognition is attracting the attention of the research community due to the multiple
areas where it can be applied, such as in healthcare or in road safety systems. In this paper …
areas where it can be applied, such as in healthcare or in road safety systems. In this paper …
A proposal for multimodal emotion recognition using aural transformers and action units on ravdess dataset
Emotion recognition is attracting the attention of the research community due to its multiple
applications in different fields, such as medicine or autonomous driving. In this paper, we …
applications in different fields, such as medicine or autonomous driving. In this paper, we …
Improving nowcasting of convective development by incorporating polarimetric radar variables into a deep‐learning model
Nowcasting of convective storms is urgently needed yet rather challenging. Current
nowcasting methods are mostly based on radar echo extrapolation, which suffer from the …
nowcasting methods are mostly based on radar echo extrapolation, which suffer from the …
Adaptive multimodal emotion detection architecture for social robots
J Heredia, E Lopes-Silva, Y Cardinale… - Ieee …, 2022 - ieeexplore.ieee.org
Emotion recognition is a strategy for social robots used to implement better Human-Robot
Interaction and model their social behaviour. Since human emotions can be expressed in …
Interaction and model their social behaviour. Since human emotions can be expressed in …
Deep-learning-based multimodal emotion classification for music videos
YR Pandeya, B Bhattarai, J Lee - Sensors, 2021 - mdpi.com
Music videos contain a great deal of visual and acoustic information. Each information
source within a music video influences the emotions conveyed through the audio and video …
source within a music video influences the emotions conveyed through the audio and video …
Multimodal emotion recognition based on manifold learning and convolution neural network
Y Zhang, C Cheng, YD Zhang - Multimedia Tools and Applications, 2022 - Springer
Multimodal emotion recognition task based on physiological signals is becoming a research
hotspot. Traditional methods need to design and extract a series of features from single …
hotspot. Traditional methods need to design and extract a series of features from single …
Mmg-ego4d: Multimodal generalization in egocentric action recognition
In this paper, we study a novel problem in egocentric action recognition, which we term as"
Multimodal Generalization"(MMG). MMG aims to study how systems can generalize when …
Multimodal Generalization"(MMG). MMG aims to study how systems can generalize when …