Title: Challenges and issues in facial emotion recognition techniques

Authors: Nizamuddin Khan; Ajay Vikram Singh; Rajeev Agrawal

Addresses: Amity Institute of Information Technology, Amity University, Noida 201303, Uttar Pradesh, India ' Amity Institute of Information Technology, Amity University, Noida 201303, Uttar Pradesh, India ' Lloyd Institute of Engineering and Technology, Greater Noida 201306, Uttar Pradesh, India

Abstract: We analyse the most obvious distributed writing in facial emotion recognition conveyed throughout the last decade in this paper. This paper assesses the analysis of the work done as such far and tries to assess each based on a set of composite parameters. Also, under the equivalent, we look for future work based on new specialisation regions and identify research gaps. There is a project underway to determine the optimum procedure that could be employed to meet all of the established constraints. Furthermore, a heading is expected for work ahead on new stronghold locations below the same. The magnitude of such labour cannot be undervalued, especially for the injured and the more prepared, where outer appearance may continue to play an important role in conveying thoughts in a robotic manner. Furthermore, there are numerous other beneficial applications that cover a wide variety of our daily lives.

Keywords: facial action coding system; FACS; convolutional neural network; CNN; feature expression recognition; FER.

DOI: 10.1504/IJBIDM.2024.136431

International Journal of Business Intelligence and Data Mining, 2024 Vol.24 No.2, pp.160 - 182

Received: 10 Feb 2022
Accepted: 31 Oct 2022
Published online: 01 Feb 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article