A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
A Comprehensive Review of Data‐Driven Co‐Speech Gesture Generation
Gestures that accompany speech are an essential part of natural and efficient embodied
human communication. The automatic generation of such co‐speech gestures is a long …
human communication. The automatic generation of such co‐speech gestures is a long …
Cross-subject multimodal emotion recognition based on hybrid fusion
Multimodal emotion recognition has gained traction in affective computing research
community to overcome the limitations posed by the processing a single form of data and to …
community to overcome the limitations posed by the processing a single form of data and to …
MSP-IMPROV: An acted corpus of dyadic interactions to study emotion perception
C Busso, S Parthasarathy, A Burmania… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
We present the MSP-IMPROV corpus, a multimodal emotional database, where the goal is
to have control over lexical content and emotion while also promoting naturalness in the …
to have control over lexical content and emotion while also promoting naturalness in the …
A multimodal emotional human–robot interaction architecture for social robots engaged in bidirectional communication
A Hong, N Lunscher, T Hu, Y Tsuboi… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
For social robots to effectively engage in human–robot interaction (HRI), they need to be
able to interpret human affective cues and to respond appropriately via display of their own …
able to interpret human affective cues and to respond appropriately via display of their own …
[HTML][HTML] A survey on databases for multimodal emotion recognition and an introduction to the VIRI (visible and InfraRed image) database
Multimodal human–computer interaction (HCI) systems pledge a more human–human-like
interaction between machines and humans. Their prowess in emanating an unambiguous …
interaction between machines and humans. Their prowess in emanating an unambiguous …
Context-aware personality inference in dyadic scenarios: Introducing the udiva dataset
This paper introduces UDIVA, a new non-acted dataset of face-to-face dyadic interactions,
where interlocutors perform competitive and collaborative tasks with different behavior …
where interlocutors perform competitive and collaborative tasks with different behavior …
[HTML][HTML] A multimodal facial emotion recognition framework through the fusion of speech with visible and infrared images
MFH Siddiqui, AY Javaid - Multimodal Technologies and Interaction, 2020 - mdpi.com
The exigency of emotion recognition is pushing the envelope for meticulous strategies of
discerning actual emotions through the use of superior multimodal techniques. This work …
discerning actual emotions through the use of superior multimodal techniques. This work …
An engineering view on emotions and speech: From analysis and predictive models to responsible human-centered applications
The substantial growth of Internet-of-Things technology and the ubiquity of smartphone
devices has increased the public and industry focus on speech emotion recognition (SER) …
devices has increased the public and industry focus on speech emotion recognition (SER) …
The MSP-conversation corpus
Human-computer interactions can be very effective, especially if computers can
automatically recognize the emotional state of the user. A key barrier for effective speech …
automatically recognize the emotional state of the user. A key barrier for effective speech …