Impact of action unit detection in automatic emotion recognition

Article Properties
Cite
Senechal, Thibaud, et al. “Impact of Action Unit Detection in Automatic Emotion Recognition”. Pattern Analysis and Applications, vol. 17, no. 1, 2012, pp. 51-67, https://doi.org/10.1007/s10044-012-0279-5.
Senechal, T., Bailly, K., & Prevost, L. (2012). Impact of action unit detection in automatic emotion recognition. Pattern Analysis and Applications, 17(1), 51-67. https://doi.org/10.1007/s10044-012-0279-5
Senechal, Thibaud, Kevin Bailly, and Lionel Prevost. “Impact of Action Unit Detection in Automatic Emotion Recognition”. Pattern Analysis and Applications 17, no. 1 (2012): 51-67. https://doi.org/10.1007/s10044-012-0279-5.
Senechal T, Bailly K, Prevost L. Impact of action unit detection in automatic emotion recognition. Pattern Analysis and Applications. 2012;17(1):51-67.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
Refrences
Title Journal Journal Categories Citations Publication Date
Facial expression recognition based on Local Binary Patterns: A comprehensive study Image and Vision Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Physics: Optics. Light
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
874 2009
10.1109/TIP.2006.884954 IEEE Transactions on Image Processing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2007
Recognizing facial action units using independent component analysis and support vector machine Pattern Recognition
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
35 2006
10.1016/S1077-3142(03)00081-X 2003
A comparative study of texture measures with classification based on featured distributions Pattern Recognition
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2,622 1996
Citations
Title Journal Journal Categories Citations Publication Date
Micro Expression Recognition Using Delaunay Triangulation and Voronoi Tessellation IETE Journal of Research
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Engineering (General). Civil engineering (General)
1 2022
A Proposal for Multimodal Emotion Recognition Using Aural Transformers and Action Units on RAVDESS Dataset

Applied Sciences
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Biology (General)
  • Science: Physics
  • Science: Chemistry
  • Science: Chemistry: General. Including alchemy
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Chemistry
  • Science: Physics
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Engineering (General). Civil engineering (General)
18 2021
The current challenges of automatic recognition of facial expressions: A systematic review

AI Communications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2020
Action unit detection in 3D facial videos with application in facial expression retrieval and recognition Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
8 2018
Hybrid Facial Regions Extraction for Micro-expression Recognition System Journal of Signal Processing Systems
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
23 2017
Citations Analysis
The category Technology: Engineering (General). Civil engineering (General) 7 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Incorporating prior knowledge from the new person into recognition of facial expression and was published in 2014. The most recent citation comes from a 2022 study titled Micro Expression Recognition Using Delaunay Triangulation and Voronoi Tessellation. This article reached its peak citation in 2016, with 3 citations. It has been cited in 9 different journals, 22% of which are open access. Among related journals, the IETE Journal of Research cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year