{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T23:29:59Z","timestamp":1771025399935,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819607945","type":"print"},{"value":"9789819607952","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-0795-2_29","type":"book-chapter","created":{"date-parts":[[2025,1,23]],"date-time":"2025-01-23T06:46:15Z","timestamp":1737614775000},"page":"373-387","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Design of a Wearable EEG Signal Acquisition System for Brain-Computer Interaction"],"prefix":"10.1007","author":[{"given":"Fei","family":"Fei","sequence":"first","affiliation":[]},{"given":"Yiqi","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Ruonan","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Lizhi","family":"Mao","sequence":"additional","affiliation":[]},{"given":"Qianru","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,1,24]]},"reference":[{"issue":"1","key":"29_CR1","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1146\/annurev.bb.02.060173.001105","volume":"2","author":"JJ Vidal","year":"1973","unstructured":"Vidal, J.J.: Toward direct brain-computer communication. Annu. Rev. Biophys. Bioeng. 2(1), 157\u2013180 (1973)","journal-title":"Annu. Rev. Biophys. Bioeng."},{"key":"29_CR2","first-page":"350","volume":"2020","author":"R Riedl","year":"2020","unstructured":"Riedl, R., Minas, R.K., Dennis, A.R., et al.: Consumer-grade EEG instruments: insights on the measurement quality based on a literature review and implications for NeuroIS research. Inform. Syst. Neurosci. NeuroIS Retreat 2020, 350\u2013361 (2020)","journal-title":"Inform. Syst. Neurosci. NeuroIS Retreat"},{"issue":"3","key":"29_CR3","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0291186","volume":"19","author":"J Sabio","year":"2024","unstructured":"Sabio, J., Williams, N.S., McArthur, G.M., et al.: A scoping review on the use of consumer-grade EEG devices for research. PLoS ONE 19(3), e0291186 (2024)","journal-title":"PLoS ONE"},{"issue":"8","key":"29_CR4","doi-asserted-by":"publisher","first-page":"3996","DOI":"10.1109\/JSEN.2019.2962874","volume":"20","author":"P Sawangjai","year":"2020","unstructured":"Sawangjai, P., Hompoonsup, S., Leelaarporn, P., et al.: Consumer grade EEG measuring sensors as research tools: a review. IEEE Sens. J. 20(8), 3996\u20134024 (2020)","journal-title":"IEEE Sens. J."},{"issue":"2","key":"29_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1515\/cdbme-2023-1201","volume":"9","author":"G M\u00fcller-Putz","year":"2023","unstructured":"M\u00fcller-Putz, G., Crell, M., Egger, J., et al.: Towards implantable brain-computer interface for communication in locked-in syndrome patients. Curr. Direct. Biomed. Eng. 9(2), 1\u20134 (2023)","journal-title":"Curr. Direct. Biomed. Eng."},{"key":"29_CR6","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1109\/TBCAS.2020.3001265","volume":"4","author":"R Kaveh","year":"2020","unstructured":"Kaveh, R., Doong, J., Zhou, A., et al.: Wireless user-generic ear EEG. IEEE Trans. Biomed. Circuits Syst. 4, 727\u2013737 (2020)","journal-title":"IEEE Trans. Biomed. Circuits Syst."},{"key":"29_CR7","doi-asserted-by":"crossref","unstructured":"Schwendeman, C., Kaveh, R., Muller, R., et al.: Drowsiness detection with wireless, user-generic, dry electrode ear EEG. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, pp. 19\u201312 (2022)","DOI":"10.1109\/EMBC48229.2022.9871859"},{"key":"29_CR8","doi-asserted-by":"crossref","unstructured":"Shah, J., Chougule, A., Chamola, V., et al.: Novel welch-transform based enhanced spectro-temporal analysis for cognitive microsleep detection using a single electrode EEG. Neurocomputing 549 (2023)","DOI":"10.1016\/j.neucom.2023.126387"},{"key":"29_CR9","doi-asserted-by":"publisher","DOI":"10.3389\/fninf.2020.553352","volume":"14","author":"J LaRocco","year":"2020","unstructured":"LaRocco, J., Le, M.D., Paeng, D.G.: A systemic review of available low-cost EEG headsets used for drowsiness detection. Front. Neuroinform. 14, 553352 (2020)","journal-title":"Front. Neuroinform."},{"key":"29_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2022.101646","volume":"53","author":"J Jeon","year":"2022","unstructured":"Jeon, J., Cai, H.: Multi-class classification of construction hazards via cognitive states assessment using wearable EEG. Adv. Eng. Inform. 53, 101646 (2022)","journal-title":"Adv. Eng. Inform."},{"issue":"9","key":"29_CR11","doi-asserted-by":"publisher","first-page":"9087","DOI":"10.1109\/JSEN.2022.3161743","volume":"22","author":"A Apicella","year":"2022","unstructured":"Apicella, A., et al.: Enhancement of SSVEPs classification in BCI-based wearable instrumentation through machine learning techniques. IEEE Sens. J. 22(9), 9087\u20139094 (2022)","journal-title":"IEEE Sens. J."},{"key":"29_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.mejo.2021.105356","volume":"120","author":"L Feng","year":"2022","unstructured":"Feng, L., Yang, L., Liu, S., Han, C., Zhang, Y., Zhu, Z.: An efficient EEGNet processor design for portable EEG-Based BCIs. Microelectron. J. 120, 105356 (2022)","journal-title":"Microelectron. J."},{"issue":"3","key":"29_CR13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3579356","volume":"26","author":"P Arias-Cabarcos","year":"2023","unstructured":"Arias-Cabarcos, P., Fallahi, M., Habrich, T., Schulze, K., Becker, C., Strufe, T.: Performance and usability evaluation of brainwave authentication techniques with consumer devices. ACM Trans. Privacy Secur. 26(3), 1\u201336 (2023)","journal-title":"ACM Trans. Privacy Secur."},{"key":"29_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ohx.2024.e00507","volume":"17","author":"Z Yu","year":"2024","unstructured":"Yu, Z., Guo, S.: A low-cost, wireless, 4-channel EEG measurement system used in virtual reality environments. HardwareX 17, e00507 (2024)","journal-title":"HardwareX"},{"issue":"2","key":"29_CR15","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1177\/1550059419888320","volume":"51","author":"C Kerson","year":"2020","unstructured":"Kerson, C., deBeus, R., Lightstone, H., et al.: EEG theta\/beta ratio calculations differ between various EEG neurofeedback and assessment software packages: clinical interpretation. Clin. EEG Neurosci. 51(2), 114\u2013120 (2020)","journal-title":"Clin. EEG Neurosci."}],"container-title":["Lecture Notes in Computer Science","Intelligent Robotics and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0795-2_29","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,23]],"date-time":"2025-01-23T06:46:54Z","timestamp":1737614814000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0795-2_29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819607945","9789819607952"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0795-2_29","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"24 January 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIRA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Robotics and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 July 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icira2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.icira2024.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}