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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Real Time Customer Satisfaction Analysis using Facial Expressions and Headpose Estimation
Digital Object Identifier (DOI) : 10.14569/IJACSA.2022.0131029
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 10, 2022.
Abstract: One of the most exciting, innovative, and promising topics in marketing research is the quantification of customer interest. This work focuses on interest detection and provides a deep learning-based system that monitors client behaviour. By assessing head position, the recommended method assesses customer attentiveness. Customers whose heads are directed toward the promotion or the item of curiosity are identified by the system, which analyses facial expressions and records client interest. An exclusive method is recommended to recognize frontal face postures first, then splits facial components that are critical for detecting facial expressions into iconized face pictures. Mainly consumer interest monitoring will be executed. Finally, the raw facial images are combined with the iconized face image's confidence ratings to estimate facial emotions. This technique combines local part-based characteristics through holistic face data for precise facial emotion identification. The new method provides the dimension of required marketing and product findings indicate that the suggested architecture has the potential to be implemented because it is efficient and operates in real time.
Keywords: Customer monitoring; convolutional neural network; facial expression recognition; facial analysis; head pose estimations component; CNN Model; object localization; face boosting
Nethravathi P. S, Manjula Sanjay Koti, Taramol. K.G, Soofi Anwar, Gayathri Babu J and Rajermani Thinakaran, “Real Time Customer Satisfaction Analysis using Facial Expressions and Headpose Estimation” International Journal of Advanced Computer Science and Applications(IJACSA), 13(10), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131029
@article{S2022,
title = {Real Time Customer Satisfaction Analysis using Facial Expressions and Headpose Estimation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131029},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131029},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {10},
author = {Nethravathi P. S and Manjula Sanjay Koti and Taramol. K.G and Soofi Anwar and Gayathri Babu J and Rajermani Thinakaran}
}
