Ravi Kumar, K. Srinivas, Anudeep Peddi, P. Vardhini
{"title":"Artificial Intelligence based Human Attention Detection through Brain Computer Interface for Health Care Monitoring","authors":"Ravi Kumar, K. Srinivas, Anudeep Peddi, P. Vardhini","doi":"10.1109/BECITHCON54710.2021.9893646","DOIUrl":null,"url":null,"abstract":"Attention as a key aspect of brain activity is one of the most usable area of brain study. It has a significant impact on the brain activities such as learning process and critical activities like driving vehicles. As real-time bidirectional linkages between living brains and actuators, brain-computer interfaces (BCIs) have showed considerable promise. The area of BCIs has been accelerated by artificial intelligence (AI), which can improve the analysis and decoding of brain activity. This paper deals with how attention of a person is detected using Electroencephalogram (EEG) and Brain Computer Interface (BCI).","PeriodicalId":170083,"journal":{"name":"2021 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BECITHCON54710.2021.9893646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Attention as a key aspect of brain activity is one of the most usable area of brain study. It has a significant impact on the brain activities such as learning process and critical activities like driving vehicles. As real-time bidirectional linkages between living brains and actuators, brain-computer interfaces (BCIs) have showed considerable promise. The area of BCIs has been accelerated by artificial intelligence (AI), which can improve the analysis and decoding of brain activity. This paper deals with how attention of a person is detected using Electroencephalogram (EEG) and Brain Computer Interface (BCI).
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