A survey on facial emotion recognition techniques: A state-of-the-art literature review

Canal, Felipe Zago; Müller, Tobias; Matias, Jhennifer Cristine; Scotton, Gustavo Gino; de, Antonio Reis; Pozzebon, Eliane; Sobieranski, Antonio Carlos

doi:10.1016/j.ins.2021.10.005

Cited by 197 publications

(53 citation statements)

References 53 publications

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“…Additionally, it stipulated the requirements for urban sewage discharge and garbage transfer. From 2010 to 2030, the yearly rate of growth in the use of energy across the globe is projected to be 1.7% [ 6 , 7 ]. As a result, it is of the utmost significance to work toward the improvement of public health from the point of view of the expansion of the new energy business.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] A Public Health‐Oriented New Energy Industry Competitiveness Evaluation

Dou

Li²,

2022

Journal of Environmental and Public Health

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This paper develops a regional new energy industry (NEI) competitiveness evaluation index system based on the theoretical framework of the “diamond model” and the unique characteristics of the new energy industry and made an empirical analysis of Jilin province with analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method. The analysis results show that the new energy industry in Jilin Province has a good foundation, and the government’s role, talent support, technological innovation, and market factors are acceptable. However, due to location factors and resource endowments, regional GDP and per capita consumption expenditure are low. The lack of intrinsic motivation of industrial competitive advantage has resulted in the poor overall competitiveness of the new energy industry in Jilin Province. Then, it is advised to take targeted measures to work closely with national NEI development strategy, optimize the industrial technology innovation ability and the talent support, actively guide social capital flows and new energy consumption, optimize regional energy consumption structure and industrial structure by creating a complete NEI chain, and revitalize the whole economy.

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Section: Introductionmentioning

confidence: 99%

[Retracted] A Public Health‐Oriented New Energy Industry Competitiveness Evaluation

Dou

Li²,

2022

Journal of Environmental and Public Health

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“…The former can stably detect faces in the data set under lab-controlled conditions, but its performance in complex environments decreases substantially. The latter uses a deep learning approach with higher robustness and superior performance in complex natural scenes [ 2 , 26 ]. Moreover, MTCNN can perform face alignment processing at the same time while ensuring real-time performance.…”

Section: Related Workmentioning

confidence: 99%

“…The experimental results showed that these algorithms had a better overall performance on lab-controlled datasets. However, for datasets in the real scene, the recognition accuracy was significantly reduced [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Towards East Asian Facial Expression Recognition in the Real World: A New Database and Deep Recognition Baseline

Guo

Liu

2022

Sensors

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In recent years, the focus of facial expression recognition (FER) has gradually shifted from laboratory settings to challenging natural scenes. This requires a great deal of real-world facial expression data. However, most existing real-world databases are based on European-American cultures, and only one is for Asian cultures. This is mainly because the data on European-American expressions are more readily accessed and publicly available online. Owing to the diversity of huge data, FER in European-American cultures has recently developed rapidly. In contrast, the development of FER in Asian cultures is limited by the data. To narrow this gap, we construct a challenging real-world East Asian facial expression (EAFE) database, which contains 10,000 images collected from 113 Chinese, Japanese, and Korean movies and five search engines. We apply three neural network baselines including VGG-16, ResNet-50, and Inception-V3 to classify the images in EAFE. Then, we conduct two sets of experiments to find the optimal learning rate schedule and loss function. Finally, by training with the cosine learning rate schedule and island loss, ResNet-50 can achieve the best accuracy of 80.53% on the testing set, proving that the database is challenging. In addition, we used the Microsoft Cognitive Face API to extract facial attributes in EAFE, so that the database can also be used for facial recognition and attribute analysis. The release of the EAFE can encourage more research on Asian FER in natural scenes and can also promote the development of FER in cross-cultural domains.

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“…ScienceDirect is a multidisciplinary DB, which has a huge number of documents. Not only that, it is also clear that this DB has high search precision, and it is also recommended to use it when you want to do a thorough review of documents, above abstract and referencing DBs (Tober 2011), and IEEE DB is dedicated to the fields of engineering and computer sciences, making it an excellent option for its relationship with the investigated subject, with also a high number of high-quality documents (Canal et al 2022).…”

Section: A Search Strategymentioning

confidence: 99%

A Systematic Literature Review of Augmented Reality in Engineering Education : Hardware, Software, Student Motivation & Development Recommendations.

Vásquez-Carbonell

2022

DER

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Augmented Reality (AR) is a technology that has benefited from the massification of computational devices, putting it in the focus of researchers as a novel teaching aid in engineering. For this very reason, a great amount of information about AR in engineering education is emerging constantly. To synthesize the information, a Systematic Literature Review (SLR) was carried out and 4 research questions were raised. It was found out the researcher´s trend for the development and testing of software that takes advantage of AR for engineering students. It was also found that Germany and India are the leading nations on investigations about the investigated topic. On the software side, Unity is the most used tool for creating applications and that the target hardware is smartphone. Finally, the high interest of researchers to increase motivation in students is evidenced in this SLR and recommendations were made based on the researcher’s findings.

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A survey on facial emotion recognition techniques: A state-of-the-art literature review

Cited by 197 publications

References 53 publications

[Retracted] A Public Health‐Oriented New Energy Industry Competitiveness Evaluation

[Retracted] A Public Health‐Oriented New Energy Industry Competitiveness Evaluation

Towards East Asian Facial Expression Recognition in the Real World: A New Database and Deep Recognition Baseline

A Systematic Literature Review of Augmented Reality in Engineering Education : Hardware, Software, Student Motivation & Development Recommendations.

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