Homes are increasingly filled with connected devices such as wireless door locks, remotely controllable thermostats, and security cameras. Home automation systems, which used to be prohibitively expensive to average consumers, are now offered at an affordable price, accelerating the adoption of \u201csmart\u201d devices in the home. The advances in devices also enable researchers and practitioners to develop new services and applications for householders\u2014PreHeat uses occupancy sensing to efficiently heat homes [19]; a DigiSwitch display supports elders who reside separately from their caregivers with whom they share sensed activity data in the home [5]; and a Digital Neighbourhood Watch (DNW) is proposed to help neighbors detect suspicious activities (e.g., previously unseen cars driving by several times) in the neighborhood by sharing security camera images<\/p>\n","protected":false},"excerpt":{"rendered":"
Homes are increasingly filled with connected devices such as wireless door locks, remotely controllable thermostats, and security cameras. Home automation systems, which used to be prohibitively expensive to average consumers, are now offered at an affordable price, accelerating the adoption of \u201csmart\u201d devices in the home. The advances in devices also enable researchers and practitioners […]<\/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":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13547],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-165879","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2013-11-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"205185","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/LADIS2013-Bolt-CR.pdf","id":"205185","title":"LADIS2013-Bolt-CR.pdf","label_id":"243109","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":205185,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/02\/LADIS2013-Bolt-CR.pdf"}],"msr-author-ordering":[{"type":"text","value":"Trinabh Gupta","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Amar Phanishayee","user_id":30975,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Amar Phanishayee"},{"type":"user_nicename","value":"Jaeyeon Jung","user_id":32327,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Jaeyeon Jung"},{"type":"user_nicename","value":"Ratul Mahajan","user_id":33351,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Ratul Mahajan"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[144899,144927],"msr_project":[171457,170564],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":171457,"post_title":"Bam!","post_name":"bam","post_type":"msr-project","post_date":"2015-04-21 14:44:33","post_modified":"2017-06-01 18:31:54","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/bam\/","post_excerpt":"The proliferation of connected devices can in theory enable a range of applications that make rich inferences about users and their environment. But in practice developing such applications today is arduous because they are constructed as monolithic silos, tightly coupled to sensing devices, and must implement all sensing & inference logic, even as devices move or are temporarily disconnected. Our goal is to break down restrictive device-application silos and simplify app development. Bam achieve this…","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171457"}]}},{"ID":170564,"post_title":"HomeOS: Enabling smarter homes for everyone","post_name":"homeos-enabling-smarter-homes-for-everyone","post_type":"msr-project","post_date":"2010-09-30 22:19:38","post_modified":"2024-10-02 16:39:34","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/homeos-enabling-smarter-homes-for-everyone\/","post_excerpt":"It is no secret that homes are ever-increasing hotbeds of new technology such as set-top boxes, game consoles, wireless routers, home automation devices, tablets, smart phones, and security cameras. This innovation is breeding heterogeneity and complexity that frustrates even technically-savvy users\u2019 attempts to improve day-to-day life by implementing functionality that uses these devices in combination. 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