[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 …
Systematic literature review of context-awareness applications supported by smart cities' infrastructures
N Pacheco Rocha, A Dias, G Santinha… - SN Applied …, 2022 - Springer
Since none of the existing systematic reviews of the literature related to smart cities have
focused on smart cities applications using context-aware features, this study aims to provide …
focused on smart cities applications using context-aware features, this study aims to provide …
EmoTour: Estimating emotion and satisfaction of users based on behavioral cues and audiovisual data
With the spread of smart devices, people may obtain a variety of information on their
surrounding environment thanks to sensing technologies. To design more context-aware …
surrounding environment thanks to sensing technologies. To design more context-aware …
Emotion recognition with pre-trained transformers using multimodal signals
J Vazquez-Rodriguez, G Lefebvre… - 2022 10th …, 2022 - ieeexplore.ieee.org
In this paper, we address the problem of multimodal emotion recognition from multiple
physiological signals. We demonstrate that a Transformer-based approach is suitable for …
physiological signals. We demonstrate that a Transformer-based approach is suitable for …
VRMN-bD: A Multi-modal Natural Behavior Dataset of Immersive Human Fear Responses in VR Stand-up Interactive Games
Understanding and recognizing emotions are important and challenging issues in the
metaverse era. Understanding, identifying, and predicting fear, which is one of the …
metaverse era. Understanding, identifying, and predicting fear, which is one of the …
Smart Tourism Destinations Research Trend: A Systematic Literature Review
SE Hiererra, A Ramadhan… - … Conference on ICT for …, 2022 - ieeexplore.ieee.org
Purpose-This study aims to identify and analyze the main themes, the countries, the
destination category, and the current trend regarding Smart Tourism research through a …
destination category, and the current trend regarding Smart Tourism research through a …
Contextual time-continuous emotion recognition based on multimodal data
D Fedotov - 2022 - oparu.uni-ulm.de
This thesis outlines novel approaches to integrate contextual information for improving the
performance of automatic emotion recognition systems. Emotion recognition has been of …
performance of automatic emotion recognition systems. Emotion recognition has been of …
Multimodal emotion recognition based on speech and physiological signals using deep neural networks
A suitable combination of data in a multimodal emotion recognition model allows conveying
and combining each channel's information to achieve a better recognition of the encoded …
and combining each channel's information to achieve a better recognition of the encoded …
From smart to personal environment: integrating emotion recognition into smart houses
Recent advances in computational and sensing technologies allowed to incorporate
different devices into a smart systems, making the ubiquitous or pervasive computing a hot …
different devices into a smart systems, making the ubiquitous or pervasive computing a hot …
Using multimodal transformers in affective computing
J Vazquez-Rodriguez - 2021 9th International Conference on …, 2021 - ieeexplore.ieee.org
Having devices capable of understanding human emotions will significantly improve the way
people interact with them. Moreover, if those devices are capable of influencing the …
people interact with them. Moreover, if those devices are capable of influencing the …