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 …
Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers
Speech is the most natural way of expressing ourselves as humans. It is only natural then to
extend this communication medium to computer applications. We define speech emotion …
extend this communication medium to computer applications. We define speech emotion …
A review of affective computing: From unimodal analysis to multimodal fusion
Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
ASCERTAIN: Emotion and personality recognition using commercial sensors
We present ASCERTAIN-a multimodal databaASe for impliCit pERsonaliTy and Affect
recognitIoN using commercial physiological sensors. To our knowledge, ASCERTAIN is the …
recognitIoN using commercial physiological sensors. To our knowledge, ASCERTAIN is the …
Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications
CA Corneanu, MO Simón, JF Cohn… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …
system capable of automatically recognizing facial expressions from images and video has …
A review and meta-analysis of multimodal affect detection systems
SK D'mello, J Kory - ACM computing surveys (CSUR), 2015 - dl.acm.org
Affect detection is an important pattern recognition problem that has inspired researchers
from several areas. The field is in need of a systematic review due to the recent influx of …
from several areas. The field is in need of a systematic review due to the recent influx of …
Hybrid context enriched deep learning model for fine-grained sentiment analysis in textual and visual semiotic modality social data
Detecting sentiments in natural language is tricky even for humans, making its automated
detection more complicated. This research proffers a hybrid deep learning model for fine …
detection more complicated. This research proffers a hybrid deep learning model for fine …
Multimodal sentimental analysis for social media applications: A comprehensive review
G Chandrasekaran, TN Nguyen… - … Reviews: Data Mining …, 2021 - Wiley Online Library
The analysis of sentiments is essential in identifying and classifying opinions regarding a
source material that is, a product or service. The analysis of these sentiments finds a variety …
source material that is, a product or service. The analysis of these sentiments finds a variety …
A survey of affect recognition methods: audio, visual and spontaneous expressions
Automated analysis of human affective behavior has attracted increasing attention from
researchers in psychology, computer science, linguistics, neuroscience, and related …
researchers in psychology, computer science, linguistics, neuroscience, and related …
Towards multimodal sentiment analysis: Harvesting opinions from the web
LP Morency, R Mihalcea, P Doshi - Proceedings of the 13th international …, 2011 - dl.acm.org
With more than 10,000 new videos posted online every day on social websites such as
YouTube and Facebook, the internet is becoming an almost infinite source of information …
YouTube and Facebook, the internet is becoming an almost infinite source of information …