{"title":"使用EMOTIV的家庭自动化:通过脑电波控制电视","authors":"M. Zaki, Ali Alquraini, T. Sheltami","doi":"10.5383/JUSPN.10.01.004","DOIUrl":null,"url":null,"abstract":"In this paper, our goal is to prove the possibility of controlling a home device by solely using neural pattern recognition interface captured by Emotiv EPOC. The neuroheadset EPOC is a personal interface for human interaction with computer through the acquisition of electrical signals produced by the brain, via techniques of electroencephalography (EEG), in order to identify thoughts, feelings and facial expressions in real time. The pattern is then fed to a client, which communicates it to the server side where it is received by a Raspberry Pi microcontroller. The microcontroller sends the appropriate response based on what is received from the client, which turns on or off a TV. This application will have a great potential especially for people with Amyotrophic Lateral Sclerosis (ALS) or special needs in general.","PeriodicalId":376249,"journal":{"name":"J. Ubiquitous Syst. Pervasive Networks","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Home Automation using EMOTIV: Controlling TV by Brainwaves\",\"authors\":\"M. Zaki, Ali Alquraini, T. Sheltami\",\"doi\":\"10.5383/JUSPN.10.01.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, our goal is to prove the possibility of controlling a home device by solely using neural pattern recognition interface captured by Emotiv EPOC. The neuroheadset EPOC is a personal interface for human interaction with computer through the acquisition of electrical signals produced by the brain, via techniques of electroencephalography (EEG), in order to identify thoughts, feelings and facial expressions in real time. The pattern is then fed to a client, which communicates it to the server side where it is received by a Raspberry Pi microcontroller. The microcontroller sends the appropriate response based on what is received from the client, which turns on or off a TV. This application will have a great potential especially for people with Amyotrophic Lateral Sclerosis (ALS) or special needs in general.\",\"PeriodicalId\":376249,\"journal\":{\"name\":\"J. Ubiquitous Syst. Pervasive Networks\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"J. Ubiquitous Syst. Pervasive Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5383/JUSPN.10.01.004\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Ubiquitous Syst. Pervasive Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5383/JUSPN.10.01.004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Home Automation using EMOTIV: Controlling TV by Brainwaves
In this paper, our goal is to prove the possibility of controlling a home device by solely using neural pattern recognition interface captured by Emotiv EPOC. The neuroheadset EPOC is a personal interface for human interaction with computer through the acquisition of electrical signals produced by the brain, via techniques of electroencephalography (EEG), in order to identify thoughts, feelings and facial expressions in real time. The pattern is then fed to a client, which communicates it to the server side where it is received by a Raspberry Pi microcontroller. The microcontroller sends the appropriate response based on what is received from the client, which turns on or off a TV. This application will have a great potential especially for people with Amyotrophic Lateral Sclerosis (ALS) or special needs in general.