{"title":"Facial Expression Recognition Based on Snaking Data Access and Pipeline Convolution Neural Network","authors":"Chi-Chang Lin, Chia-Yu Hsieh, Ping-Cheng Wu, Ping-Chun Chen, You-Sheng Xiao, Yunqi Fan","doi":"10.1109/IET-ICETA56553.2022.9971645","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed facial expression recognition based on snaking data access and pipeline convolution neural network. This paper performs an expression recognition system composed of fast convolution operations. We use Winograd algorithm to reduce the number of multipliers and design data reuse, pipeline and Snaking data access structures to increase the performance of the chip. Therefore, the chip can perform high-speed computing and achieve a well facial expression recognition rate.","PeriodicalId":46240,"journal":{"name":"IET Networks","volume":"36 1","pages":"1-2"},"PeriodicalIF":1.3000,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IET-ICETA56553.2022.9971645","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we proposed facial expression recognition based on snaking data access and pipeline convolution neural network. This paper performs an expression recognition system composed of fast convolution operations. We use Winograd algorithm to reduce the number of multipliers and design data reuse, pipeline and Snaking data access structures to increase the performance of the chip. Therefore, the chip can perform high-speed computing and achieve a well facial expression recognition rate.
IET NetworksCOMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
5.00
自引率
0.00%
发文量
41
审稿时长
33 weeks
期刊介绍：
IET Networks covers the fundamental developments and advancing methodologies to achieve higher performance, optimized and dependable future networks. IET Networks is particularly interested in new ideas and superior solutions to the known and arising technological development bottlenecks at all levels of networking such as topologies, protocols, routing, relaying and resource-allocation for more efficient and more reliable provision of network services. Topics include, but are not limited to: Network Architecture, Design and Planning, Network Protocol, Software, Analysis, Simulation and Experiment, Network Technologies, Applications and Services, Network Security, Operation and Management.
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