Automatic expression recognition of face image sequence based on key-frame generation and differential emotion feature-Reference-Cited by-同舟云学术

Automatic expression recognition of face image sequence based on key-frame generation and differential emotion feature

Published:2021-12 Issue: Volume:113 Page:108029
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Sima Yi,Yi Jizheng,Chen Aibin,Jin Ze

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference61 articles.

1. Stochastic p-robust approach to two-stage net-work DEA model;Shakouri;Quant. Financ. Econ.,2019

2. Spectrogram-frame linear network and continuous frame sequence for bird sound classification;Zhang;Ecol. Inform.,2019

3. A review of methods in speech and facial expressions recognition for human-computer interaction;Sirai;Adv. Sci. Lett.,2017

4. Towards emotion-sensitive learning cognitive state analysis of big data in education: deep learning-based facial expression analysis using ordinal information;Xu;Computing,2019

5. The impact of emotional labor on the health in the workplace: a narrative review of literature from 2013–2018;Aung;AIMS Public Health,2019

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