{"title":"脑服:实现集成脑电图的多模式服装","authors":"J. F. Vargas, Bo Zhou, Hymalai Bello, P. Lukowicz","doi":"10.1145/3460421.3478814","DOIUrl":null,"url":null,"abstract":"We aim to facilitate broad use of EEG sensing in multi-modal smart garments by developing an open-source EEG sensing module with the state-of-the-art analog front-end that is pin/protocol-compatible with popular ecosystems in the wearable and DIY community. The EEG functionality is validated with the neuroscience standard n-back memory load task. We also demonstrate the seamless integration of EEG electrodes with low-frequency Force Sensitive Resistors (FSR) and high-frequency piezoelectric sensors within a single probe. Finally, we show the embedding of the entire setup in a textile baseball cap. We also present how signals from the different modalities complement each other under situations such as motion artifacts and different activities from an unobtrusive head-worn garment. The system is available to the community through a public GitHub repository.","PeriodicalId":395295,"journal":{"name":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","volume":"1973 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Brainwear: Towards Multi-modal Garment Integrated EEG\",\"authors\":\"J. F. Vargas, Bo Zhou, Hymalai Bello, P. Lukowicz\",\"doi\":\"10.1145/3460421.3478814\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We aim to facilitate broad use of EEG sensing in multi-modal smart garments by developing an open-source EEG sensing module with the state-of-the-art analog front-end that is pin/protocol-compatible with popular ecosystems in the wearable and DIY community. The EEG functionality is validated with the neuroscience standard n-back memory load task. We also demonstrate the seamless integration of EEG electrodes with low-frequency Force Sensitive Resistors (FSR) and high-frequency piezoelectric sensors within a single probe. Finally, we show the embedding of the entire setup in a textile baseball cap. We also present how signals from the different modalities complement each other under situations such as motion artifacts and different activities from an unobtrusive head-worn garment. The system is available to the community through a public GitHub repository.\",\"PeriodicalId\":395295,\"journal\":{\"name\":\"Proceedings of the 2021 ACM International Symposium on Wearable Computers\",\"volume\":\"1973 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 ACM International Symposium on Wearable Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3460421.3478814\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3460421.3478814","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Brainwear: Towards Multi-modal Garment Integrated EEG
We aim to facilitate broad use of EEG sensing in multi-modal smart garments by developing an open-source EEG sensing module with the state-of-the-art analog front-end that is pin/protocol-compatible with popular ecosystems in the wearable and DIY community. The EEG functionality is validated with the neuroscience standard n-back memory load task. We also demonstrate the seamless integration of EEG electrodes with low-frequency Force Sensitive Resistors (FSR) and high-frequency piezoelectric sensors within a single probe. Finally, we show the embedding of the entire setup in a textile baseball cap. We also present how signals from the different modalities complement each other under situations such as motion artifacts and different activities from an unobtrusive head-worn garment. The system is available to the community through a public GitHub repository.