Android based Emotion Detection Using Convolutions Neural Networks

doi:10.1109/ICCIKE51210.2021.9410768

	Android based Emotion Detection Using Convolutions Neural Networks
	Qayyum, Rabia 1; Akre, Vishwesh 2; Hafeez, Talha 3; Ali Khattak, Hasan 4; Nawaz, Asif 5; Ahmed, Sheeraz 6; Mohindru, Pankaj 7; Khan, Doulat 8; Ur Rahman, Khalil 9
	2021-03-17
会议名称	2nd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2021
会议录名称	Proceedings of 2nd IEEE International Conference on Computational Intelligence and Knowledge Economy, ICCIKE 2021
页码	360-365
会议日期	March 17, 2021 - March 18, 2021
会议地点	Dubai, United arab emirates
出版者	Institute of Electrical and Electronics Engineers Inc.
摘要	With the advent of improved mobile processing capabilities we have seen many novel and useful applications. Among other usecases is the utilization of graphics capabilities of on-board computing capabilities. The study evaluates a new trend of functionality that has been considered in the emotion detection field. The proposed study uses Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) to conduct a comparison of which deep learning technique works best for emotion recognition. Both neural network are trained using FER2013 dataset of Kaggle with seven emotion classes. The trained models are evaluated where CNN attains the accuracy of 65% and RNN lack behind with the accuracy of 41%. The trained models are then applied using music player based on one's facial expressions.The user gets the music according to the mood in two forms. Thus with the application user is provided with new and interactive way of getting the music that provides new and latest music and gets an entertaining music app. The Final Product has great scope as the end product can be modified and expanded where music recommendation can be exchanged with other recommendation systems like news, content etc. according to the emotion fetched. © 2021 IEEE.
关键词	Android (operating system) Convolution Convolutional neural networks Intelligent computing Computing capability Emotion detection Emotion recognition Interactive way Learning techniques Music recommendation Processing capability Recurrent neural network (RNN)
DOI	10.1109/ICCIKE51210.2021.9410768
收录类别	EI
语种	英语
EI入藏号	20211910327030
EI主题词	Recurrent neural networks
EI分类号	716.1 Information Theory and Signal Processing ; 723 Computer Software, Data Handling and Applications ; 723.4 Artificial Intelligence
原始文献类型	Conference article (CA)
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://ir.nwnu.edu.cn/handle/39RV6HYL/72209
专题	实体学院_计算机科学与工程学院_计算机科学与技术系
作者单位	1.Mcs National University of Sciences Technology, Department of Software Engineering, Islamabad, Pakistan; 2.Dubai Women's College Higher Colleges of Technology, Dubai, United Arab Emirates; 3.Comsats University, Department of Computer Science, Islamabad, Pakistan; 4.Seecs National University of Sciences Technology, Department of Computing, Islamabad, Pakistan; 5.Higher College of Technology, Department of Electrical Engineering, Dubai, United Arab Emirates; 6.Iqra National University, Department of Computer Science, Peshawar, Pakistan; 7.Punjabi University, Electronics Communications Engineering, Patiala, India; 8.Capital University of Science Technology, Department of Computer Science, Islamabad, Pakistan; 9.Northwest Normal University, Deptt. of Comp. Sci. and Tech., Lanzhou, China
推荐引用方式 GB/T 7714	Qayyum, Rabia,Akre, Vishwesh,Hafeez, Talha,et al. Android based Emotion Detection Using Convolutions Neural Networks[C]:Institute of Electrical and Electronics Engineers Inc.,2021:360-365.