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Real-Time Facial Affective Computing on Mobile Devices

文献类型：期刊论文

作者Guo, Yuanyuan4; Xia, Yifan1; Wang, Jing3,4; Yu, Hui1; Chen, Rung-Ching2
刊名SENSORS
出版日期2020-02-01
卷号20期号:3页码:15
关键词facial affective computing convolutional neural networks deep learning mobile development
DOI10.3390/s20030870
通讯作者Wang, Jing(wangjing2014@ia.ac.cn) ; Yu, Hui(hui.yu@port.ac.uk)
英文摘要Convolutional Neural Networks (CNNs) have become one of the state-of-the-art methods for various computer vision and pattern recognition tasks including facial affective computing. Although impressive results have been obtained in facial affective computing using CNNs, the computational complexity of CNNs has also increased significantly. This means high performance hardware is typically indispensable. Most existing CNNs are thus not generalizable enough for mobile devices, where the storage, memory and computational power are limited. In this paper, we focus on the design and implementation of CNNs on mobile devices for real-time facial affective computing tasks. We propose a light-weight CNN architecture which well balances the performance and computational complexity. The experimental results show that the proposed architecture achieves high performance while retaining the low computational complexity compared with state-of-the-art methods. We demonstrate the feasibility of a CNN architecture in terms of speed, memory and storage consumption for mobile devices by implementing a real-time facial affective computing application on an actual mobile device.
WOS关键词EXPRESSION RECOGNITION ; FACE ; REGIONS
资助项目National Natural Science Foundation of China[61533019] ; Open Project of The State Key Laboratory of Management and Control for Complex Systems: Reaserch on the Precise Diagnosis and Treatment of Gout based on Parallel Intelligence ; Engineering and Physical Sciences Research Council (EPSRC) through project 4D Facial Sensing and Modelling[EP/N025849/1]
WOS研究方向Chemistry ; Engineering ; Instruments & Instrumentation
语种英语
WOS记录号WOS:000517786200294
出版者MDPI
资助机构National Natural Science Foundation of China ; Open Project of The State Key Laboratory of Management and Control for Complex Systems: Reaserch on the Precise Diagnosis and Treatment of Gout based on Parallel Intelligence ; Engineering and Physical Sciences Research Council (EPSRC) through project 4D Facial Sensing and Modelling
源URL[http://ir.ia.ac.cn/handle/173211/38737]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Wang, Jing; Yu, Hui
作者单位1.Univ Portsmouth, Sch Creat Technol, Portsmouth PO1 2DJ, Hants, England
2.Chaoyang Univ Technol, Dept Informat Management, Taichung 41349, Taiwan
3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
4.Qingdao Acad Intelligent Ind, Inst Smart Healthcare Syst, Qingdao 266109, Peoples R China
推荐引用方式
GB/T 7714		 Guo, Yuanyuan,Xia, Yifan,Wang, Jing,et al. Real-Time Facial Affective Computing on Mobile Devices[J]. SENSORS,2020,20(3):15.
APA Guo, Yuanyuan,Xia, Yifan,Wang, Jing,Yu, Hui,&Chen, Rung-Ching.(2020).Real-Time Facial Affective Computing on Mobile Devices.SENSORS,20(3),15.
MLA Guo, Yuanyuan,et al."Real-Time Facial Affective Computing on Mobile Devices".SENSORS 20.3(2020):15.

入库方式： OAI收割

来源：自动化研究所

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