{"id":171101,"date":"2013-02-18T00:54:57","date_gmt":"2013-02-18T00:54:57","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/project\/phytics-physical-analytics\/"},"modified":"2020-12-10T19:56:31","modified_gmt":"2020-12-11T03:56:31","slug":"phytics-physical-analytics","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/phytics-physical-analytics\/","title":{"rendered":"Phytics: Physical Analytics"},"content":{"rendered":"<p>The goal of the Physical Analytics project, or Phytics, is to perform analytics on the physical actions of users. Such analytics would be valuable in a variety of contexts where the design of a physical space is intertwined with how users use the space, e.g., to understand the behaviour of shoppers in mall or a store, which might be indicative of their interests; to fine-tune the layout of services in an airport or a train station based on how people pass through; and to plan the layout of exhibits at a tradeshow based on the physical browsing patterns of users from previous editions. Thus, Physical Analytics brings to the physical world capabilities akin to those taken for granted in the online world, where the ready availability of clickstreams drives rich analytics.<\/p>\n<p>Our\u00a0research in realizing Physical Analytics spans several problems, including multi-modal sensing to track user activity; distributed data processing, spanning elements resident in smartphones, the local infrastructure, and the cloud; and interfacing with users through incentives for participation and targeted information delivery.<\/p>\n<p><span id=\"be8b797c-5350-4456-bd5f-21cd056b1d70\" class=\"ImageBlock fn\"><\/span><span id=\"4e03e569-eea2-4699-b6c6-f79db18fb91c\" class=\"ImageBlock fl\"><img loading=\"lazy\" decoding=\"async\" id=\"Image4e03e569-eea2-4699-b6c6-f79db18fb91c\" class=\"aligncenter\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/phytics-phytics-sensing.jpg\" alt=\"Multi-sensor User Tracking\" width=\"776\" height=\"582\" \/><span id=\"ImageCaption4e03e569-eea2-4699-b6c6-f79db18fb91c\" class=\"ImageCaptionCoreCss ImageCaption\"><\/span><\/span><span id=\"137f2000-0dad-4f9a-a084-9d1b852f6229\" class=\"ImageBlock fr\"><\/span><\/p>\n<p><span id=\"1ec5f1ba-27ea-482c-b867-b854cc0aba8f\" class=\"ImageBlock fn\"><img loading=\"lazy\" decoding=\"async\" id=\"Image1ec5f1ba-27ea-482c-b867-b854cc0aba8f\" class=\"aligncenter\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/phytics-phytics-heatmap.jpg\" width=\"784\" height=\"588\" \/><span id=\"ImageCaption1ec5f1ba-27ea-482c-b867-b854cc0aba8f\" class=\"ImageCaptionCoreCss ImageCaption\"><\/span><\/span><\/p>\n<h3><b>Events<\/b><\/h3>\n<p>We have played a leading role in creating\u00a0the Workshop on Physical Analytics and serving as co-chair, keynote speaker, and panelist:<\/p>\n<ul>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/www.sigmobile.org\/mobisys\/2014\/workshops\/physicalanalytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">1st Workshop on Physical Analytics<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> at ACM MobiSys 2014, Bretton Woods, NH, USA\u00a0(June 2014)<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/dl.acm.org\/doi\/proceedings\/10.1145\/2753497\">2nd Workshop on Physical Analytics <span class=\"sr-only\"> (opens in new tab)<\/span><\/a>at ACM MobiSys 2015, Florence, Italy (May 2015)<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.sigmobile.org\/mobisys\/2016\/workshops.php#wpa\">3rd Workshop on Physical Analytics<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> at ACM MobiSys 2016, Singapore (June 2016)<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.sigmobile.org\/mobisys\/2017\/workshops\/wpa\/\">4th Workshop on Physical Analytics<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> at ACM MobiSys 2017, Niagara Falls, NY, USA (June 2017)<\/li>\n<\/ul>\n<h3><b>External Collaborators<\/b><\/h3>\n<ul>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/www.cs.utexas.edu\/~lili\/\" target=\"_blank\" rel=\"noopener noreferrer\">Lili Qiu<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (UT Austin)<\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/www.cs.utexas.edu\/~swati\/\" target=\"_blank\" rel=\"noopener noreferrer\">Swati Rallapalli<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (UT Austin)<\/li>\n<\/ul>\n<h3><b>Related Projects<\/b><\/h3>\n<ul>\n<li>Indoor Localization: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/ez-localization\/\">EZ<\/a> and <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/zee-zero-effort-crowdsourcing-for-indoor-localization\/\">Zee<\/a> (MSR India), Duke, <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/fm-based-indoor-localization\/\" target=\"_self\" rel=\"noopener noreferrer\">FM-based<\/a> (MSR Redmond)<\/li>\n<li>Sensing:\u00a0<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/livesynergy-bridging-the-gap-between-virtual-and-physical-worlds\/\">LiveSynergy<\/a> (MSR China), <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/www.livelabs.smu.edu.sg\/\">LiveLabs<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (SMU), <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/sensorlab.cs.dartmouth.edu\/\">Dartmouth<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/research.cens.ucla.edu\/\">UCLA<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<li>RFID: <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/sixthsense\/\">SixthSense<\/a> (MSR India), <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/rfid.cs.washington.edu\/\" target=\"_blank\" rel=\"noopener noreferrer\">RFID Ecosystem<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> (Washington)<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The goal of the Physical Analytics project, or Phytics, is to perform analytics on the physical actions of users. Such analytics would be valuable in a variety of contexts where the design of a physical space is intertwined with how users use the space, e.g., to understand the behaviour of shoppers in mall or a [&hellip;]<\/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":[13552,13547],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-171101","msr-project","type-msr-project","status-publish","hentry","msr-research-area-hardware-devices","msr-research-area-systems-and-networking","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2013-02-18","related-publications":[165782,166913,168427,464280],"related-downloads":[],"related-videos":[191736],"related-groups":[144725],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","value":"krchinta","display_name":"Krishna Chintalapudi","author_link":"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/krchinta\/\" aria-label=\"Visit the profile page for Krishna Chintalapudi\">Krishna Chintalapudi<\/a>","is_active":false,"user_id":32577,"last_first":"Chintalapudi, Krishna","people_section":0,"alias":"krchinta"},{"type":"user_nicename","value":"navda","display_name":"Vishnu Navda","author_link":"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/navda\/\" aria-label=\"Visit the profile page for Vishnu Navda\">Vishnu Navda<\/a>","is_active":false,"user_id":33060,"last_first":"Navda, Vishnu","people_section":0,"alias":"navda"},{"type":"user_nicename","value":"padmanab","display_name":"Venkat Padmanabhan","author_link":"<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/people\/padmanab\/\" aria-label=\"Visit the profile page for Venkat Padmanabhan\">Venkat Padmanabhan<\/a>","is_active":false,"user_id":33180,"last_first":"Padmanabhan, Venkat","people_section":0,"alias":"padmanab"}],"msr_research_lab":[199562],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171101","targetHints":{"allow":["GET"]}}],"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":5,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171101\/revisions"}],"predecessor-version":[{"id":712186,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171101\/revisions\/712186"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=171101"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=171101"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=171101"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=171101"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=171101"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}