{"title":"基于面部表情的用户依赖界面","authors":"Euisun Kim, Yunseok Lee, Sungyoon Lee, Jaehyo Kim","doi":"10.1109/GCCE.2013.6664867","DOIUrl":null,"url":null,"abstract":"This study is about the feasibility test of calibration and customizing method based on channel selection according to task and user dependent factors using multi-channeled MES device. Simple threshold methods were applied to evaluate the activation of each channel. Generally, interface utilizing biological signals has been known for its instability and complexity of the system, however, by choosing proper channels figuring out user's intention and utilizing the channels as command signals, its system can be simple and stabilized.","PeriodicalId":294532,"journal":{"name":"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"User dependent interface based on facial expression\",\"authors\":\"Euisun Kim, Yunseok Lee, Sungyoon Lee, Jaehyo Kim\",\"doi\":\"10.1109/GCCE.2013.6664867\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study is about the feasibility test of calibration and customizing method based on channel selection according to task and user dependent factors using multi-channeled MES device. Simple threshold methods were applied to evaluate the activation of each channel. Generally, interface utilizing biological signals has been known for its instability and complexity of the system, however, by choosing proper channels figuring out user's intention and utilizing the channels as command signals, its system can be simple and stabilized.\",\"PeriodicalId\":294532,\"journal\":{\"name\":\"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GCCE.2013.6664867\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 2nd Global Conference on Consumer Electronics (GCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2013.6664867","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
User dependent interface based on facial expression
This study is about the feasibility test of calibration and customizing method based on channel selection according to task and user dependent factors using multi-channeled MES device. Simple threshold methods were applied to evaluate the activation of each channel. Generally, interface utilizing biological signals has been known for its instability and complexity of the system, however, by choosing proper channels figuring out user's intention and utilizing the channels as command signals, its system can be simple and stabilized.
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