{"id":164757,"date":"2013-03-01T00:00:00","date_gmt":"2013-03-01T00:00:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/msr-research-item\/the-smartphone-as-a-platform-for-wearable-cameras-in-health-research\/"},"modified":"2018-10-16T20:10:57","modified_gmt":"2018-10-17T03:10:57","slug":"the-smartphone-as-a-platform-for-wearable-cameras-in-health-research","status":"publish","type":"msr-research-item","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/the-smartphone-as-a-platform-for-wearable-cameras-in-health-research\/","title":{"rendered":"The Smartphone As a Platform for Wearable Cameras in Health Research"},"content":{"rendered":"<p>Background: The Microsoft SenseCam, a small camera that is worn on the chest via a lanyard, increasingly is being deployed in health research. However, the SenseCam and other wearable cameras are not yet in widespread use because of a variety of factors. It is proposed that the ubiquitous smartphones can provide a more accessible alternative to SenseCam and similar devices.<br \/>\nPurpose: To perform an initial evaluation of the potential of smartphones to become an alternative to a wearable camera such as the SenseCam.<\/p>\n<p>Methods: In 2012, adults were supplied with a smartphone, which they wore on a lanyard, that ran life-logging software. Participants wore the smartphone for up to 1 day and the resulting life-log data were both manually annotated and automatically analyzed for the presence of visual concepts. The results were compared to prior work using the SenseCam.<\/p>\n<p>Results: In total, 166,000 smartphone photos were gathered from 47 individuals, along with associated sensor readings. The average time spent wearing the device across all users was 5 hours 39 minutes (SD4 hours 11 minutes). A subset of 36,698 photos was selected for manual annotation by f\u0131ve researchers. Software analysis of these photos supports the automatic identif\u0131cation of activities to a similar level of accuracy as for SenseCam images in a previous study.<\/p>\n<p>Conclusions: Many aspects of the functionality of a SenseCam largely can be replicated, and in some cases enhanced, by the ubiquitous smartphone platform. This makes smartphones good candidates for a new generation of wearable sensing devices in health research, because of their widespread use across many populations. It is envisioned that smartphones will provide a compelling alternative to the dedicated Sense Cam hardware for a number of users and application areas. This will be achieved by integrating new types of sensor data, leveraging the smartphone\u2019s real-time connectivity and rich user interface, and providing support for a range of relatively sophisticated applications.<\/p>\n<p>(Am J Prev Med 2013;44(3):308\u2013313) \u00a9 2013 American Journal of Preventive Medicine<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Background: The Microsoft SenseCam, a small camera that is worn on the chest via a lanyard, increasingly is being deployed in health research. However, the SenseCam and other wearable cameras are not yet in widespread use because of a variety of factors. It is proposed that the ubiquitous smartphones can provide a more accessible alternative [&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":null,"msr_publishername":"Elsevier","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"American Journal of Preventive Medicine","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"American Journal of Preventive Medicine","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Cathal Gurrin, Zhengwei Qiu, Mark Hughes, Niamh Caprani, Alan Smeaton","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"","msr_host":"","msr_version":"","msr_duration":"","msr_original_fields_of_study":"","msr_release_tracker_id":"","msr_s2_match_type":"","msr_citation_count_updated":"","msr_published_date":"2013-03-01","msr_highlight_text":"","msr_notes":"","msr_longbiography":"","msr_publicationurl":"","msr_external_url":"","msr_secondary_video_url":"","msr_conference_url":"","msr_journal_url":"","msr_s2_pdf_url":"","msr_year":2013,"msr_citation_count":0,"msr_influential_citations":0,"msr_reference_count":0,"msr_s2_match_confidence":0,"msr_microsoftintellectualproperty":true,"msr_s2_open_access":false,"msr_s2_author_ids":[],"msr_pub_ids":[],"msr_hide_image_in_river":0,"footnotes":""},"msr-research-highlight":[],"research-area":[13552],"msr-publication-type":[193715],"msr-publisher":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-164757","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-hardware-devices","msr-locale-en_us"],"msr_publishername":"Elsevier","msr_edition":"American Journal of Preventive Medicine","msr_affiliation":"","msr_published_date":"2013-03-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"American Journal of Preventive Medicine","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":"205575","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"AJPM%20-%20Gurrin%20Mar13.pdf","viewUrl":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2016\/02\/AJPM20-20Gurrin20Mar13.pdf","id":205575,"label_id":0}],"msr_related_uploader":"","msr_citation_count":0,"msr_citation_count_updated":"","msr_s2_paper_id":"","msr_influential_citations":0,"msr_reference_count":0,"msr_arxiv_id":"","msr_s2_author_ids":[],"msr_s2_open_access":false,"msr_s2_pdf_url":null,"msr_attachments":[{"id":205575,"url":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2016\/02\/AJPM20-20Gurrin20Mar13.pdf"}],"msr-author-ordering":[{"type":"text","value":"Cathal Gurrin","user_id":0,"rest_url":false},{"type":"text","value":"Zhengwei Qiu","user_id":0,"rest_url":false},{"type":"text","value":"Mark Hughes","user_id":0,"rest_url":false},{"type":"text","value":"Niamh Caprani","user_id":0,"rest_url":false},{"type":"user_nicename","value":"shodges","user_id":33628,"rest_url":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=shodges"},{"type":"text","value":"Alan Smeaton","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[],"msr_project":[169803],"publication":[],"video":[],"msr-tool":[],"msr_publication_type":"article","related_content":{"projects":[{"ID":169803,"post_title":"SenseCam","post_name":"sensecam","post_type":"msr-project","post_date":"2004-02-25 04:05:34","post_modified":"2023-11-28 10:10:37","post_status":"publish","permalink":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/project\/sensecam\/","post_excerpt":"SenseCam is a wearable camera that takes photos automatically. 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