{"id":183508,"date":"2006-06-26T00:00:00","date_gmt":"2009-10-31T12:46:47","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/brain-computer-interface-systems-progress-and-opportunities\/"},"modified":"2020-06-22T15:48:39","modified_gmt":"2020-06-22T22:48:39","slug":"brain-computer-interface-systems-progress-and-opportunities","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/brain-computer-interface-systems-progress-and-opportunities\/","title":{"rendered":"Brain Computer Interface Systems: Progress and Opportunities"},"content":{"rendered":"<p>A brain computer interface (BCI) allows users to communicate without movement. BCIs infer user intent through direct measures of brain activity, usually via EEGs. BCIs are the only means of communication possible for some severely disabled users and are becoming increasingly useful to healthy subjects. The talk will present: 1) EEG and other brain imaging technologies, 2) components of a BCI, 3) how to build and use several different BCI systems, 4) videos of BCIs, and 5) future directions. Emphasis will be placed on recent advances and implications for practical commercial BCI systems.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A brain computer interface (BCI) allows users to communicate without movement. BCIs infer user intent through direct measures of brain activity, usually via EEGs. BCIs are the only means of communication possible for some severely disabled users and are becoming increasingly useful to healthy subjects. The talk will present: 1) EEG and other brain imaging [&hellip;]<\/p>\n","protected":false},"featured_media":668901,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[243062,13553],"msr-video-type":[],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-183508","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-audio-acoustics","msr-research-area-medical-health-genomics","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/eb5fun_t-9w","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/183508"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":2,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/183508\/revisions"}],"predecessor-version":[{"id":668907,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/183508\/revisions\/668907"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/668901"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=183508"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=183508"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=183508"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=183508"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=183508"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=183508"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}