{"title":"基于脑电图信号的赛车心理与生理脑活动评价比较研究","authors":"Ahmed Mansour, Hebatalla Ouda","doi":"10.1109/IEMECONX.2019.8877037","DOIUrl":null,"url":null,"abstract":"Nowadays, there are massive demands for enabling Internet of Things (IoT) technology in multi-disciplines domains. IoT provides a suitable and adaptable platform for different system such healthcare, transportation, communication, industry, gaming and entertainment, agriculture, security….etc. This paper focuses on using IoT technology with Cloud in healthcare system through a novel idea to evaluate mental and physical brain activities by exploit EEG headset. The traditional EEG headsets rely on using invasive EEG with multiple electrodes, which makes patients stressed and worried from wearing such headset. Thus, the proposed architecture model relies on using a modern, comfortable, easy-wear EEG headset to collect data through a car racing competition. Such data will be forward to Cloud to perform analysis and indicate level of brainwave diagnostics in order to control a robotic car to pass into a certain challenge directions. This idea facilitates the complexity of the conventional mental evaluation by using Neurosky Mindwave EEG headset to be easy for use and adaptable with multiple changes and developments. In this paper, we aim to introduce the idea of Brain Race for mental status detection and evaluation as a new transition step between entertainment and brain activity evaluation at different scenarios.","PeriodicalId":358845,"journal":{"name":"2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On The Road to A Comparative Car Racing EEG-based Signals for Mental and Physical Brain Activity Evaluation\",\"authors\":\"Ahmed Mansour, Hebatalla Ouda\",\"doi\":\"10.1109/IEMECONX.2019.8877037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, there are massive demands for enabling Internet of Things (IoT) technology in multi-disciplines domains. IoT provides a suitable and adaptable platform for different system such healthcare, transportation, communication, industry, gaming and entertainment, agriculture, security….etc. This paper focuses on using IoT technology with Cloud in healthcare system through a novel idea to evaluate mental and physical brain activities by exploit EEG headset. The traditional EEG headsets rely on using invasive EEG with multiple electrodes, which makes patients stressed and worried from wearing such headset. Thus, the proposed architecture model relies on using a modern, comfortable, easy-wear EEG headset to collect data through a car racing competition. Such data will be forward to Cloud to perform analysis and indicate level of brainwave diagnostics in order to control a robotic car to pass into a certain challenge directions. This idea facilitates the complexity of the conventional mental evaluation by using Neurosky Mindwave EEG headset to be easy for use and adaptable with multiple changes and developments. In this paper, we aim to introduce the idea of Brain Race for mental status detection and evaluation as a new transition step between entertainment and brain activity evaluation at different scenarios.\",\"PeriodicalId\":358845,\"journal\":{\"name\":\"2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMECONX.2019.8877037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEMECONX.2019.8877037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On The Road to A Comparative Car Racing EEG-based Signals for Mental and Physical Brain Activity Evaluation
Nowadays, there are massive demands for enabling Internet of Things (IoT) technology in multi-disciplines domains. IoT provides a suitable and adaptable platform for different system such healthcare, transportation, communication, industry, gaming and entertainment, agriculture, security….etc. This paper focuses on using IoT technology with Cloud in healthcare system through a novel idea to evaluate mental and physical brain activities by exploit EEG headset. The traditional EEG headsets rely on using invasive EEG with multiple electrodes, which makes patients stressed and worried from wearing such headset. Thus, the proposed architecture model relies on using a modern, comfortable, easy-wear EEG headset to collect data through a car racing competition. Such data will be forward to Cloud to perform analysis and indicate level of brainwave diagnostics in order to control a robotic car to pass into a certain challenge directions. This idea facilitates the complexity of the conventional mental evaluation by using Neurosky Mindwave EEG headset to be easy for use and adaptable with multiple changes and developments. In this paper, we aim to introduce the idea of Brain Race for mental status detection and evaluation as a new transition step between entertainment and brain activity evaluation at different scenarios.