{"id":7362,"date":"2017-05-19T13:11:20","date_gmt":"2017-05-19T17:11:20","guid":{"rendered":"https:\/\/engineering.jhu.edu\/magazine-archive\/?p=7362"},"modified":"2017-05-22T13:19:02","modified_gmt":"2017-05-22T17:19:02","slug":"upstarts-brain-waves-and-big-data","status":"publish","type":"post","link":"https:\/\/engineering.jhu.edu\/magazine-archive\/2017\/05\/upstarts-brain-waves-and-big-data\/","title":{"rendered":"Upstarts: Brain Waves and Big Data"},"content":{"rendered":"\"Brain<\/a>\n

Imagine tapping into big data\u2014with your brain.<\/p>\n

This is a novel idea that Tam\u00e1s Budav\u00e1ri<\/a>, an assistant professor of applied mathematics and statistics<\/a> at the Whiting School, is investigating as a way to radically speed up how researchers make sense of extremely large and complex data sets\u2014say, all the data associated with the structure of the universe.<\/p>\n

With support from the Cohen Translational Fund<\/a>, Budav\u00e1ri and PhD candidate Nicholas Carey are developing a suite of software tools that enables them to tap into a person\u2019s brain waves as a way to interact with computerized data visualization.<\/p>\n

Sound like science fiction? Budav\u00e1ri admits it was, back when he started thinking about this approach five years ago. \u201cBut now, this is actually becoming a reality, and using brain waves is a hot topic,\u201d he says. The team has filed for patent protection on the system.<\/p>\n

Here\u2019s how it works: A researcher sits in front of a computer analyzing huge data sets of information while wearing an EEG cap outfitted with electrodes to measure his P300 brain waves. Budav\u00e1ri\u2019s newly invented system enables the researcher to interact with his computer, and the data, without touching a keyboard; instead, he transmits preferences by brain waves alone.<\/p>\n

Budav\u00e1ri postulates that this loop between man and machine will dramatically speed the process of making sense of information. He estimates a study that once took two years could, say, be completed in as little time as an afternoon. \u201cWouldn\u2019t that be nice,\u201d he says.<\/p>\n","protected":false},"excerpt":{"rendered":"

Imagine tapping into big data\u2014with your brain.<\/p>\n","protected":false},"author":4,"featured_media":7366,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[24],"tags":[124,146,1522,1526,1530,1534],"class_list":["post-7362","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-impact","tag-department-of-applied-mathematics-and-statistics","tag-tamas-budavari","tag-nicholas-carey","tag-cohen-translational-fund","tag-big-data","tag-brain-machine-interface","issue-summer-2017"],"acf":[],"yoast_head":"\nUpstarts: Brain Waves and Big Data - JHU Engineering Magazine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/engineering.jhu.edu\/magazine-archive\/2017\/05\/upstarts-brain-waves-and-big-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Upstarts: Brain Waves and Big Data - 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