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 …

Sampling in qualitative research

M Shaheen, S Pradhan - Qualitative techniques for workplace data …, 2019 - igi-global.com
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 …

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 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 …

An unsupervised EEG decoding system for human emotion recognition

Z Liang, S Oba, S Ishii - Neural Networks, 2019 - Elsevier
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 …

Recognition of facial expressions based on salient geometric features and support vector machines

D Ghimire, J Lee, ZN Li, S Jeong - Multimedia Tools and Applications, 2017 - Springer
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 …

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 …

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 …

Towards Multimodal Human Intention Understanding Debiasing via Subject-Deconfounding

D Yang, D Xiao, K Li, Y Wang, Z Chen, J Wei… - arXiv preprint arXiv …, 2024 - arxiv.org
Multimodal intention understanding (MIU) is an indispensable component of human
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 …