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Deep learning for human affect recognition: Insights and new developments
Automatic human affect recognition is a key step towards more natural human-computer
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …
COLD fusion: Calibrated and ordinal latent distribution fusion for uncertainty-aware multimodal emotion recognition
Automatically recognising apparent emotions from face and voice is hard, in part because of
various sources of uncertainty, including in the input data and the labels used in a machine …
various sources of uncertainty, including in the input data and the labels used in a machine …
Acoustic and lexical sentiment analysis for customer service calls
We describe the development of a sentiment analysis system for customer service calls,
starting with the data acquisition and labeling, and proceeding to the algorithmic information …
starting with the data acquisition and labeling, and proceeding to the algorithmic information …
Exploring the contextual factors affecting multimodal emotion recognition in videos
Emotional expressions form a key part of user behavior on today's digital platforms. While
multimodal emotion recognition techniques are gaining research attention, there is a lack of …
multimodal emotion recognition techniques are gaining research attention, there is a lack of …
A review of voice-base person identification: state-of-the-art
Automated person identification and authentication systems are useful for national security,
integrity of electoral processes, prevention of cybercrimes and many access control …
integrity of electoral processes, prevention of cybercrimes and many access control …
Fusion of heart rate variability and pulse rate variability for emotion recognition using lagged poincare plots
Designing an efficient automatic emotion recognition system based on physiological signals
has attracted great interests within the research of human–machine interactions. This study …
has attracted great interests within the research of human–machine interactions. This study …
The AffectToolbox: Affect Analysis for Everyone
In the field of affective computing, where research continually advances at a rapid pace, the
demand for user-friendly tools has become increasingly apparent. In this paper, we present …
demand for user-friendly tools has become increasingly apparent. In this paper, we present …
Expression‐EEG Bimodal Fusion Emotion Recognition Method Based on Deep Learning
Y Lu, H Zhang, L Shi, F Yang, J Li - … and Mathematical Methods …, 2021 - Wiley Online Library
As one of the key issues in the field of emotional computing, emotion recognition has rich
application scenarios and important research value. However, the single biometric …
application scenarios and important research value. However, the single biometric …
Comparing supervised and unsupervised approaches to multimodal emotion recognition
We investigated emotion classification from brief video recordings from the GEMEP
database wherein actors portrayed 18 emotions. Vocal features consisted of acoustic …
database wherein actors portrayed 18 emotions. Vocal features consisted of acoustic …
A hand gesture action-based emotion recognition system by 3D image sensor information derived from Leap Motion sensors for the specific group with restlessness …
IJ Ding, MC Hsieh - Microsystem Technologies, 2022 - Springer
The popular 3D image sensor on market urges fast developments of hand gesture-based
applications. With utilizations of 3D space hand gesture data, hand gesture command …
applications. With utilizations of 3D space hand gesture data, hand gesture command …