CUSTOMER BEHAVIOR ANALYSIS USING FERC MODEL
Keywords:
Facial Emotion Recognition, Convolutional Neural Network (CNN), Customer Behavior Analysis, Sentiment Analysis, Non-frontal Image ProcessingAbstract
In this research paper, we've proposed an approach of analyzing customers' behavior helping us keep the track of customer journey and identify points of improvement and difficulty in the process by building a system that recognizes facial emotion employing a Convolutional Neural Network (CNN). Technically, CNN reduces the dimension for giant resolution images and not losing the standard and giving a prediction output what's expected and capturing of the facial expressions even in odd angles makes it stand different from other models also i.e. it works well for non- frontal images. We will implement a facial emotion recognition system employing a CNN employing a dataset. This system can be useful for sentimental analysis, can be used for clinical & commercial practices, can be useful for getting a person's review on a certain product, or a process in offline stores.
References
N. Mehendale, “Facial emotion recognition using convolutional neural networks (FERC).” SN Appl. Sci. 2, 446 (2020). https://doi.org/10.1007/s42452-020-2234-1
E. Pranav, Suraj Kamal, C. Satheesh Chandran, M.H. Supriya, "Facial Emotion Recognition Using Deep Convolutional Neural Network", Advanced Computing and Communication Systems (ICACCS) 2020 6th International Conference on, pp. 317-320, 2020.
Mohammed Adnan Adil, “Facial emotion detection using convolutional neural networks”
G. Cao, Y. Ma, X. Meng, Y. Gao and M. Meng, "Emotion Recognition Based On CNN", Access IEEE, 2019 Chinese Control Conference (CCC), pp. 8627-8630, 2019.
Lu Lingling liu, "Human Face Expression Recognition Based on Deep Learning-Deep Convolutional Neural Network", Access IEEE, 2019 International Conference on Smart Grid and Electrical Automation (ICSGEA).
Amjad Rehman Khan, “Facial Emotion Recognition Using Conventional Machine Learning and Deep Learning Methods: Current Achievements, Analysis and Remaining Challenges”
Amit Pandey, Aman Gupta, and Radhey Shyam "Facial Emotion Detection and Recognition," 2022
Zi-Yu Huang, Chia-Chin Chiang, Jian-Hao Chen, Yi-Chian Chen, Hsin-Lung Chung, Yu-Ping Cai & Hsiu-Chuan Hsu, “A study on computer vision for facial emotion recognition”
M. A. H. Akhand et al.,"Facial Emotion Recognition Using Transfer Learning in the Deep CNN"
Milind Talele, Rajashree Jain,” Complex Facial Emotion Recognition”
Aswathy.R, “Facial Expression Recognition Techniques”
Wafa Mellouk, Wahida Handouzi “Facial emotion recognition using deep learning: review and insights”
Olugbenga Oluseun Oluwagbem, Onyeka Emebo, “Facial Emotion Recognition and Classification using the Convolutional Neural Network-10 (CNN-10)”
Md. Forhad Ali, Mehenag Khatun, Nakib Aman Turzo, “Facial Emotion Detection Using Neural Network”
Sarvakar et al. “Facial emotion recognition using convolutional neural networks
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Sagar Tyagi, Krishna Kaul, Abhijeet Panicker, Ashwini Gade (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
