{"title":"基于ssvep的残障管理脑机接口系统","authors":"K. Swetha, R. G K, Shashikala S V","doi":"10.1109/ICERECT56837.2022.10060273","DOIUrl":null,"url":null,"abstract":"Brain-Computer Interface will recognize patterns in mental activity using the computer's algorithm in controlling a third-party device. Ideally, BDI will measure the activity of the brain to command and control messages. Electroencephalogram (EEG) is a commonly used approach in BCI based on its non-invasive and convenient use. As a result, more and more BCIs have been designed for persons with disabilities who suffer from spinal cord injury helping to rehabilitate and live. BCI includes feature extraction methods, the signal processing. Later, the different hybrid BCI combined methods and review the synchronous/asynchronous BCI designs.","PeriodicalId":205485,"journal":{"name":"2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SSVEP-Based Brain-Computer Interface System for Managing Disabilities\",\"authors\":\"K. Swetha, R. G K, Shashikala S V\",\"doi\":\"10.1109/ICERECT56837.2022.10060273\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Brain-Computer Interface will recognize patterns in mental activity using the computer's algorithm in controlling a third-party device. Ideally, BDI will measure the activity of the brain to command and control messages. Electroencephalogram (EEG) is a commonly used approach in BCI based on its non-invasive and convenient use. As a result, more and more BCIs have been designed for persons with disabilities who suffer from spinal cord injury helping to rehabilitate and live. BCI includes feature extraction methods, the signal processing. Later, the different hybrid BCI combined methods and review the synchronous/asynchronous BCI designs.\",\"PeriodicalId\":205485,\"journal\":{\"name\":\"2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICERECT56837.2022.10060273\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICERECT56837.2022.10060273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SSVEP-Based Brain-Computer Interface System for Managing Disabilities
Brain-Computer Interface will recognize patterns in mental activity using the computer's algorithm in controlling a third-party device. Ideally, BDI will measure the activity of the brain to command and control messages. Electroencephalogram (EEG) is a commonly used approach in BCI based on its non-invasive and convenient use. As a result, more and more BCIs have been designed for persons with disabilities who suffer from spinal cord injury helping to rehabilitate and live. BCI includes feature extraction methods, the signal processing. Later, the different hybrid BCI combined methods and review the synchronous/asynchronous BCI designs.