{"id":692034,"date":"2020-09-15T11:02:14","date_gmt":"2020-09-15T18:02:14","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=692034"},"modified":"2020-09-15T11:02:14","modified_gmt":"2020-09-15T18:02:14","slug":"decoding-music-attention-from-eeg-headphones-a-user-friendly-auditory-brain-computer-interface","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/decoding-music-attention-from-eeg-headphones-a-user-friendly-auditory-brain-computer-interface\/","title":{"rendered":"Decoding Music Attention from \u201cEEG headphones\u201d: a User-friendly Auditory Brain-computer Interface"},"content":{"rendered":"<p>Listening to music is a joyful way to relax. Many people enjoy playing music in the background in their daily life, even while working. This makes music an excellent choice as a stimulus for building a user-friendly auditory brain-computer interface. In this study, we designed a new brain-computer interface system using music as the stimuli, and recorded brain signals from Smartfones, an EEG recording device integrated into a pair of headphones. We spatialized musical instruments, and asked the participants to pay attention to either the vibraphone on the left or the piano on the right. Then, we used a stimulus reconstruction method to decode attention from EEG signals. Results show that the proposed system can achieve good decoding accuracy on top of its superior user-friendliness compared to EEG caps. These results suggest the viability of using music in designing future auditory brain-computer interfaces.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Listening to music is a joyful way to relax. Many people enjoy playing music in the background in their daily life, even while working. This makes music an excellent choice as a stimulus for building a user-friendly auditory brain-computer interface. In this study, we designed a new brain-computer interface system using music as the stimuli, [&hellip;]<\/p>\n","protected":false},"featured_media":692040,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_hide_image_in_river":0,"footnotes":""},"research-area":[13556,243062,13554,13553],"msr-video-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-session-type":[],"msr-impact-theme":[],"msr-pillar":[],"msr-episode":[],"msr-research-theme":[],"class_list":["post-692034","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-audio-acoustics","msr-research-area-human-computer-interaction","msr-research-area-medical-health-genomics","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/VD-hlGEVpzg","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/692034","targetHints":{"allow":["GET"]}}],"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":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/692034\/revisions"}],"predecessor-version":[{"id":692037,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/692034\/revisions\/692037"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/692040"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=692034"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=692034"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=692034"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=692034"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=692034"},{"taxonomy":"msr-session-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-session-type?post=692034"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=692034"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=692034"},{"taxonomy":"msr-episode","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-episode?post=692034"},{"taxonomy":"msr-research-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-research-theme?post=692034"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}