The Application of Machine Learning and Deep Learning-Based Algorithms in Facial Expression Recognition

Xi Liu

2024

Abstract

Facial expression recognition is essential for enhancing human-computer interaction and empathy in artificial intelligence, aiding in many domains such as mental health assessments, improving customer service, and enabling more intuitive educational technologies. This paper gives a comprehensive review of the applications of machine learning and deep learning in facial expression recognition. The research includes face emotion recognition framework based on machine learning, traditional machine learning algorithm and deep learning algorithm. The facial emotion recognition framework based on machine learning includes several steps, such as data set collection, pre-processing, model building and training. Traditional machine learning algorithms mainly include two methods for facial expression recognition based on decision tree and support vector machine. Deep learning is implemented using artificial neural networks. However, there are still some challenges and limitations, such as model complexity, data quality reliability issues, and balance of interpretation accuracy, and user understanding, and trust are also factors to consider.

Paper Citation

in Harvard Style

Liu X. (2024). The Application of Machine Learning and Deep Learning-Based Algorithms in Facial Expression Recognition. In Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-713-9, SciTePress, pages 786-789. DOI: 10.5220/0012972900004508

in Bibtex Style

@conference{emiti24,
author={Xi Liu},
title={The Application of Machine Learning and Deep Learning-Based Algorithms in Facial Expression Recognition},
booktitle={Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2024},
pages={786-789},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012972900004508},
isbn={978-989-758-713-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - The Application of Machine Learning and Deep Learning-Based Algorithms in Facial Expression Recognition
SN - 978-989-758-713-9
AU - Liu X.
PY - 2024
SP - 786
EP - 789
DO - 10.5220/0012972900004508
PB - SciTePress