Current interactive surfaces provide little or no in-formation about which fingers are touching the surface, the amount of pressure exerted, or gestures that occur when not in contact with the surface. These limitations constrain the interaction vocabulary available to interactive surface systems. In our work, we extend the surface interaction space by using muscle sensing to provide complementary information about finger movement and posture. In this paper, we describe a novel system that combines muscle sensing with a multi-touch tabletop, and introduce a series of new interaction techniques enabled by this combination. We present observations from an initial system evaluation and discuss the limitations and challenges of utilizing muscle sensing for tabletop applications.<\/p>\n
Our Tabletop 2009 paper: [ pdf (opens in new tab)<\/span><\/a> ]<\/p>\n https:\/\/www.youtube.com\/watch?v=0phjl804onU (opens in new tab)<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Current interactive surfaces provide little or no in-formation about which fingers are touching the surface, the amount of pressure exerted, or gestures that occur when not in contact with the surface. These limitations constrain the interaction vocabulary available to interactive surface systems. In our work, we extend the surface interaction space by using muscle sensing […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556,13554],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-329324","msr-project","type-msr-project","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-human-computer-interaction","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","value":"ssaponas","user_id":33715,"display_name":"Scott Saponas","author_link":"Scott Saponas<\/a>","is_active":false,"last_first":"Saponas, Scott","people_section":0,"alias":"ssaponas"},{"type":"user_nicename","value":"desney","user_id":31613,"display_name":"Desney Tan","author_link":"Desney Tan<\/a>","is_active":false,"last_first":"Tan, Desney","people_section":0,"alias":"desney"}],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/329324"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/329324\/revisions"}],"predecessor-version":[{"id":744949,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/329324\/revisions\/744949"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=329324"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=329324"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=329324"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=329324"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=329324"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}