A comprehensive review of facial expression recognition techniques
RR Adyapady, B Annappa - Multimedia Systems, 2023 - Springer
Emotion recognition has opened up many challenges, which lead to various advances in
computer vision and artificial intelligence. The rapid development in this field has …
computer vision and artificial intelligence. The rapid development in this field has …
Sampling in qualitative research
The chapter discusses different types of sampling methods used in qualitative research to
select information-rich cases. Two types of sampling techniques are discussed in the past …
select information-rich cases. Two types of sampling techniques are discussed in the past …
Grey wolf optimisation‐based feature selection and classification for facial emotion recognition
NP Nirmala Sreedharan, B Ganesan… - IET …, 2018 - Wiley Online Library
The channels used to convey the human emotions consider actions, behaviours, poses,
facial expressions, and speech. An immense research has been carried out to analyse the …
facial expressions, and speech. An immense research has been carried out to analyse the …
Facial expression recognition based on local region specific features and support vector machines
D Ghimire, S Jeong, J Lee, SH Park - Multimedia Tools and Applications, 2017 - Springer
Facial expressions are one of the most powerful, natural and immediate means for human
being to communicate their emotions and intensions. Recognition of facial expression has …
being to communicate their emotions and intensions. Recognition of facial expression has …
An unsupervised EEG decoding system for human emotion recognition
Emotion plays a vital role in human health and many aspects of life, including relationships,
behaviors and decision-making. An intelligent emotion recognition system may provide a …
behaviors and decision-making. An intelligent emotion recognition system may provide a …
Recognition of facial expressions based on salient geometric features and support vector machines
Facial expressions convey nonverbal cues which play an important role in interpersonal
relations, and are widely used in behavior interpretation of emotions, cognitive science, and …
relations, and are widely used in behavior interpretation of emotions, cognitive science, and …
Enhanced facial emotion recognition by optimal descriptor selection with neural network
PM Ashok Kumar, JB Maddala… - IETE Journal of …, 2023 - Taylor & Francis
Facial Emotion Recognition (FER) is the approach of detecting emotions of humans from
facial expressions. Emotions are detected automatically by the human brain and hence …
facial expressions. Emotions are detected automatically by the human brain and hence …
A novel based 3D facial expression detection using recurrent neural network
KS Jaswanth, DS David - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
People periodically have diverse facial expressions and disposition changes in this way.
Human facial expression acknowledgment plays a really energetic part in social relations …
Human facial expression acknowledgment plays a really energetic part in social relations …
Towards Multimodal Human Intention Understanding Debiasing via Subject-Deconfounding
Multimodal intention understanding (MIU) is an indispensable component of human
expression analysis (eg, sentiment or humor) from heterogeneous modalities, including …
expression analysis (eg, sentiment or humor) from heterogeneous modalities, including …
Facial expression recognition based on convolutional neural network
R Lu, Y Li, P Yang, W Zhang - Journal of Physics: Conference …, 2021 - iopscience.iop.org
At present, facial expression recognition technology is widely used in artificial intelligence,
transportation, medical and other aspects, so it has important research value. Traditional …
transportation, medical and other aspects, so it has important research value. Traditional …