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Computer Science > Computer Vision and Pattern Recognition

arXiv:2209.07916 (cs)
[Submitted on 16 Sep 2022 (v1), last revised 28 Oct 2022 (this version, v2)]

Title:On Developing Facial Stress Analysis and Expression Recognition Platform

Authors:Fabio Cacciatori, Sergei Nikolaev, Dmitrii Grigorev, Anastasiia Archangelskaya
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Abstract:This work represents the experimental and development process of system facial expression recognition and facial stress analysis algorithms for an immersive digital learning platform. The system retrieves from users web camera and evaluates it using artificial neural network (ANN) algorithms. The ANN output signals can be used to score and improve the learning process. Adapting an ANN to a new system can require a significant implementation effort or the need to repeat the ANN training. There are also limitations related to the minimum hardware required to run an ANN. To overpass these constraints, some possible implementations of facial expression recognition and facial stress analysis algorithms in real-time systems are presented. The implementation of the new solution has made it possible to improve the accuracy in the recognition of facial expressions and also to increase their response speed. Experimental results showed that using the developed algorithms allow to detect the heart rate with better rate in comparison with social equipment.
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2209.07916 [cs.CV]
  (or arXiv:2209.07916v2 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2209.07916

Submission history

From: Sergei Nikolaev [view email]
[v1] Fri, 16 Sep 2022 13:29:30 UTC (611 KB)
[v2] Fri, 28 Oct 2022 11:32:14 UTC (611 KB)
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