{"id":161638,"date":"2011-06-01T00:00:00","date_gmt":"2011-06-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/human-activity-recognition-har-everywhere-embedded-mobile-desktop-home-cloud\/"},"modified":"2018-10-16T22:13:33","modified_gmt":"2018-10-17T05:13:33","slug":"human-activity-recognition-har-everywhere-embedded-mobile-desktop-home-cloud","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/human-activity-recognition-har-everywhere-embedded-mobile-desktop-home-cloud\/","title":{"rendered":"Human-Activity Recognition (HAR) Everywhere: Embedded, Mobile, Desktop, Home & Cloud"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Human Activity Recognition (HAR) has been a topic of investigation for multiple decades. Researchers have explored a variety of approaches including a service running in the background on a mobile phone, cameras in the environment, RFID readers on people, and many more. In this note, we advocate that for HAR to make the leap from interesting research area to a mainstream technology that enhances our day-to-day experiences with computing it must utilize many parts of a person\u2019s computing ecosystem: from low-power embedded hardware that runs continuously and can be mounted directly in a phone to a service in the Cloud that tracks a person\u2019s activities over the long-term and computes current activity from every available input. We provide a brief discussion of how such a system might be constructed and used.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Human Activity Recognition (HAR) has been a topic of investigation for multiple decades. Researchers have explored a variety of approaches including a service running in the background on a mobile phone, cameras in the environment, RFID readers on people, and many more. In this note, we advocate that for HAR to make the leap from [&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":"","msr-author-ordering":[{"type":"user_nicename","value":"ssaponas","user_id":"33715"},{"type":"user_nicename","value":"brianme","user_id":"31299"},{"type":"user_nicename","value":"ajbrush","user_id":"30886"}],"msr_publishername":"Microsoft Research","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"Pervasive 2011 Workshop: Frontiers in Activity Recognition using Pervasive Sensing (IWFAR)","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Pervasive 2011 Workshop: 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