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Comput. Healthcare"],"published-print":{"date-parts":[[2024,4,30]]},"abstract":"<jats:p>\n            Electroencephalography (EEG) provides an opportunity to gain insights to electrocortical activity without the need for invasive technology. While increasingly used in various application areas, EEG headsets tend to be suited only to a laboratory environment due to the long preparation time to don the headset and the need for users to remain stationary. We present our design of a dry, dual-electrodes flexible PCB assembly that realizes accurate sensing in the face of practical motion artifacts. Using it, we present WalkingWizard, our prototype dry-electrode EEG baseball cap that can be used under motion in everyday scenarios. We first evaluated its hardware performance by comparing its electrode-scalp impedance and ability to capture alpha rhythm against both wet EEG and commercially available dry EEG headsets. We then tested WalkingWizard using steady-state visual evoked potential (SSVEP) experiments, achieving high classification accuracy of 87% for walking speeds up to 5.0 km\/h, beating state-of-the-art. Expanding on WalkingWizard, we integrated all necessary electronic components into a flexible PCB assembly\u2014realizing\n            <jats:italic>WalkingWizard Integrated<\/jats:italic>\n            , in a truly wearable form-factor. Utilizing WalkingWizard Integrated, we demonstrated several applications as proof-of-concept: classification of SSVEP in VR environment while walking, real-time acquisition of emotional state of users while moving around the neighbourhood, and understanding the effect of guided meditation for relaxation.\n          <\/jats:p>","DOI":"10.1145\/3648106","type":"journal-article","created":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T11:54:00Z","timestamp":1707998040000},"page":"1-38","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["WalkingWizard\u2014A Truly Wearable EEG Headset for Everyday Use"],"prefix":"10.1145","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-5597-4677","authenticated-orcid":false,"given":"Teck Lun","family":"Goh","sequence":"first","affiliation":[{"name":"School of Computing, National University of Singapore, Singapore, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9010-6519","authenticated-orcid":false,"given":"Li-Shiuan","family":"Peh","sequence":"additional","affiliation":[{"name":"School of Computing, National University of Singapore, Singapore, Singapore"}]}],"member":"320","published-online":{"date-parts":[[2024,4,22]]},"reference":[{"key":"e_1_3_3_2_2","author":"Guideline twelve: guidelines for long-term monitoring for epilepsy.","unstructured":"Guideline twelve: guidelines for long-term monitoring for epilepsy. 2008. 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Journal of Neural Transmission 124 (Dec. 2016), 379--386. https:\/\/doi.org\/10.1007\/s00702-016-1664-9","journal-title":"Journal of Neural Transmission"},{"key":"e_1_3_3_25_2","doi-asserted-by":"publisher","DOI":"10.1038\/srep16743"},{"key":"e_1_3_3_26_2","article-title":"Monitoring pilot\u2019s mental workload using ERPs and spectral power with a six-dry-electrode EEG system in real flight conditions","author":"Dehais Fr\u00e9d\u00e9ric","year":"2019","unstructured":"Fr\u00e9d\u00e9ric Dehais, Alban Dupr\u00e8s, Sarah Blum, Nicolas Drougard, S\u00e9bastien Scannella, Raphaelle N. Roy, and Fabien Lotte. 2019. Monitoring pilot\u2019s mental workload using ERPs and spectral power with a six-dry-electrode EEG system in real flight conditions. 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Nature Scientific Data 8 (Dec. 2021). https:\/\/doi.org\/10.48550\/arXiv.2112.04176","journal-title":"Nature Scientific Data"},{"key":"e_1_3_3_47_2","doi-asserted-by":"publisher","DOI":"10.1186\/1743-0003-9-5"},{"key":"e_1_3_3_48_2","article-title":"The impact of vigorous cycling exercise on visual attention: A study with the BR8 wireless dry EEG system","author":"Lin Chin-Teng","year":"2021","unstructured":"Chin-Teng Lin, Jung-Tai King, Alka Rachel John, Kuan-Chih Huang, Zehong Cao, and Yu-Kai Wang. 2021. The impact of vigorous cycling exercise on visual attention: A study with the BR8 wireless dry EEG system. 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A mobile SSVEP-based brain-computer interface for freely moving humans: The robustness of canonical correlation analysis to motion artifacts. 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13). 1350--1353. https:\/\/ieeexplore.ieee.org\/document\/6609759","journal-title":"35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13)"},{"key":"e_1_3_3_50_2","article-title":"Assessing the feasibility of online SSVEP decoding in human walking using a consumer EEG headset","author":"Lin Yuan-Pin","year":"2014","unstructured":"Yuan-Pin Lin, Yijun Wang, and Tzyy-Ping Jung. 2014. Assessing the feasibility of online SSVEP decoding in human walking using a consumer EEG headset. Journal of Neuroengineering and Rehabilitation 11, 119 (Aug. 2014). https:\/\/doi.org\/10.1186\/1743-0003-11-119","journal-title":"Journal of Neuroengineering and Rehabilitation"},{"key":"e_1_3_3_51_2","article-title":"Assessing the quality of steady-state visual-evoked potentials for moving humans using a mobile electroencephalogram headset","author":"Lin Yuan-Pin","year":"2014","unstructured":"Yuan-Pin Lin, Yijun Wang, Chun-Shu Wei, and Tzyy-Ping Jung. 2014. Assessing the quality of steady-state visual-evoked potentials for moving humans using a mobile electroencephalogram headset. Frontiers in Human Neuroscience 8, 182 (March 2014). https:\/\/doi.org\/10.3389\/fnhum.2014.00182","journal-title":"Frontiers in Human Neuroscience"},{"key":"e_1_3_3_52_2","article-title":"BETA: A large benchmark database toward SSVEP-BCI application","author":"Liu Bingchuan","year":"2020","unstructured":"Bingchuan Liu, Xiaoshan Huang, Yijun Wang, Xiaogang Chen, and Xiaorong Gao. 2020. 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Neuroscience and Biobehavioral Reviews 57 (Oct. 2015), 401--410. https:\/\/doi.org\/10.1016\/j.neubiorev.2015.09.018","journal-title":"Neuroscience and Biobehavioral Reviews"},{"key":"e_1_3_3_56_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-09187-0"},{"key":"e_1_3_3_57_2","volume-title":"0871 Surface Mount Spring-loaded Pin","year":"2022","unstructured":"Mill-Max. 2022. 0871 Surface Mount Spring-loaded Pin. Retrieved May 13, 2022 from https:\/\/www.mill-max.com\/products\/pin\/0871"},{"key":"e_1_3_3_58_2","article-title":"What can neuromarketing tell us about food packaging?","author":"Moya Ingrit","year":"2020","unstructured":"Ingrit Moya, Jes\u00fas Garc\u00eda-Madariaga, and Mar\u00eda-Francisca Blasco. 2020. What can neuromarketing tell us about food packaging? 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