{"id":169803,"date":"2004-02-25T04:05:34","date_gmt":"2004-02-25T04:05:34","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/project\/sensecam\/"},"modified":"2023-11-28T10:10:37","modified_gmt":"2023-11-28T18:10:37","slug":"sensecam","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/sensecam\/","title":{"rendered":"SenseCam"},"content":{"rendered":"
SenseCam is a wearable camera that takes photos automatically. Originally conceived as a personal \u2018Black Box\u2019 accident recorder, it soon became evident that looking through images previously recorded tends to elicit quite vivid remembering of the original event. This exciting effect has formed the basis of a great deal of research around the world: there are over 200 papers based on work using SenseCam, the Vicon Revue<\/a>\u00a0and OMG Autographer<\/a> (both produced for several years under license).<\/p>\n Highlights of the history of SenseCam, the Vicon Revue and the OMG Autographer include:<\/p>\n <\/p>\n For more information about SenseCam research please contact us at sensecam@microsoft.com<\/a><\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" SenseCam is a wearable camera that takes photos automatically. Originally conceived as a personal \u2018Black Box\u2019 accident recorder, it soon became evident that looking through images previously recorded tends to elicit quite vivid remembering of the original event.<\/p>\n","protected":false},"featured_media":352349,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13552,13554,13553],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-169803","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-hardware-devices","msr-research-area-human-computer-interaction","msr-research-area-medical-health-genomics","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2004-02-25","related-publications":[164757,157435,159803,166065,157861,159805,166066,158153,159807,315125,158245,159951,315134,159071,160681,315176,159133,163388,159738,163389,159739,163391,159741,163394,145297,159801,164739,155478,159802],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[{"id":0,"name":"Publications","content":"\n
Publications of work using SenseCam or its direct descendants<\/h2>\r\nThese include eight PhD theses describing research which leveraged SenseCam.\r\n\r\nNote that work presented at the first three SenseCam Conferences,\u00a0SenseCam 2009<\/a>,\u00a0SenseCam 2010<\/a>\u00a0and\u00a0SenseCam 2012<\/a>,\u00a0is largely not included because these were not archival events. Papers included at SenseCam 2013 were, however, published by the ACM and are listed below.\r\n
\r\n \t