Artificial Emotional Intelligence: Conventional and deep learning approach

作者：

Highlights：

• A significant contribution of artificial emotional intelligence in recent years.

• Comparative study of conventional and deep learning techniques.

• Limitations and issues in existing techniques and how to overcome them.

• Research gap and challenges to obtain better emotion recognition performance.

• Research opportunities and future direction in artificial emotional intelligence.

摘要

•A significant contribution of artificial emotional intelligence in recent years.•Comparative study of conventional and deep learning techniques.•Limitations and issues in existing techniques and how to overcome them.•Research gap and challenges to obtain better emotion recognition performance.•Research opportunities and future direction in artificial emotional intelligence.

论文关键词：Artificial emotional intelligence,Automated decision-making,Machine learning,Deep learning emotion detection,Neural Network,Facial recognition Pattern,Facial Emotion Recognition

论文评审过程：Received 30 October 2021, Revised 19 August 2022, Accepted 19 August 2022, Available online 24 August 2022, Version of Record 13 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118651