{"title":"基于MVAR和NN数据可视化的人机交互反馈","authors":"J. Olszewska","doi":"10.1109/SACI51354.2021.9465564","DOIUrl":null,"url":null,"abstract":"In the situation of pandemic with people being ill, contagious, or suffering from long-term effects, touchless human computer interfaces, and especially brain computer interfaces (BCI), could provide humans with safe communication technologies as well as user-centric systems for rehabilitation. Hence, this work studies at first the representation of electroencephalogram (EEG) signals in a data space which is appropriate for an efficient data processing and a user-friendly interpretation. Then, we propose 3D data visualizations mapping the human brain activity into that data space. The developed representations have been successfully tested within a BCI framework through 3D data visualizations the user can see and interact with in real time.","PeriodicalId":321907,"journal":{"name":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Human Computer Interaction Feedback Based-On Data Visualization Using MVAR and NN\",\"authors\":\"J. Olszewska\",\"doi\":\"10.1109/SACI51354.2021.9465564\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the situation of pandemic with people being ill, contagious, or suffering from long-term effects, touchless human computer interfaces, and especially brain computer interfaces (BCI), could provide humans with safe communication technologies as well as user-centric systems for rehabilitation. Hence, this work studies at first the representation of electroencephalogram (EEG) signals in a data space which is appropriate for an efficient data processing and a user-friendly interpretation. Then, we propose 3D data visualizations mapping the human brain activity into that data space. The developed representations have been successfully tested within a BCI framework through 3D data visualizations the user can see and interact with in real time.\",\"PeriodicalId\":321907,\"journal\":{\"name\":\"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI51354.2021.9465564\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI51354.2021.9465564","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Human Computer Interaction Feedback Based-On Data Visualization Using MVAR and NN
In the situation of pandemic with people being ill, contagious, or suffering from long-term effects, touchless human computer interfaces, and especially brain computer interfaces (BCI), could provide humans with safe communication technologies as well as user-centric systems for rehabilitation. Hence, this work studies at first the representation of electroencephalogram (EEG) signals in a data space which is appropriate for an efficient data processing and a user-friendly interpretation. Then, we propose 3D data visualizations mapping the human brain activity into that data space. The developed representations have been successfully tested within a BCI framework through 3D data visualizations the user can see and interact with in real time.
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