{"id":"https://openalex.org/W2052314036","doi":"https://doi.org/10.1109/icip.2014.7025202","title":"Analyzing sedentary behavior in life-logging images","display_name":"Analyzing sedentary behavior in life-logging images","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2052314036","doi":"https://doi.org/10.1109/icip.2014.7025202","mag":"2052314036"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068225668","display_name":"Mohammad Kazem Moghimi","orcid":"https://orcid.org/0000-0003-0419-9806"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammad Moghimi","raw_affiliation_strings":["Department of Computer Science and Engineering, San Diego, UC","Department of Computer Science and Engineering, UC, San Diego#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, San Diego, UC","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science and Engineering, UC, San Diego#TAB#","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102569708","display_name":"Wanmin Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wanmin Wu","raw_affiliation_strings":["Department of Family and Preventive Medicine, San Diego, UC","Department of Family and Preventive Medicine, UC San Diego"],"affiliations":[{"raw_affiliation_string":"Department of Family and Preventive Medicine, San Diego, UC","institution_ids":[]},{"raw_affiliation_string":"Department of Family and Preventive Medicine, UC San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101693761","display_name":"Jacqueline Chen","orcid":"https://orcid.org/0000-0002-9896-6262"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacqueline Chen","raw_affiliation_strings":["Department of Family and Preventive Medicine, San Diego, UC","Department of Family and Preventive Medicine, UC San Diego"],"affiliations":[{"raw_affiliation_string":"Department of Family and Preventive Medicine, San Diego, UC","institution_ids":[]},{"raw_affiliation_string":"Department of Family and Preventive Medicine, UC San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045627919","display_name":"Suneeta Godbole","orcid":"https://orcid.org/0000-0002-7358-2078"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suneeta Godbole","raw_affiliation_strings":["Department of Family and Preventive Medicine, San Diego, UC","Department of Family and Preventive Medicine, UC San Diego"],"affiliations":[{"raw_affiliation_string":"Department of Family and Preventive Medicine, San Diego, UC","institution_ids":[]},{"raw_affiliation_string":"Department of Family and Preventive Medicine, UC San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103578618","display_name":"Simon J. Marshall","orcid":null},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Simon Marshall","raw_affiliation_strings":["Department of Family and Preventive Medicine, San Diego, UC","Department of Family and Preventive Medicine, UC San Diego"],"affiliations":[{"raw_affiliation_string":"Department of Family and Preventive Medicine, San Diego, UC","institution_ids":[]},{"raw_affiliation_string":"Department of Family and Preventive Medicine, UC San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014669027","display_name":"Jacqueline Kerr","orcid":"https://orcid.org/0000-0003-2341-8138"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacqueline Kerr","raw_affiliation_strings":["Department of Family and Preventive Medicine, San Diego, UC","Department of Family and Preventive Medicine, UC San Diego"],"affiliations":[{"raw_affiliation_string":"Department of Family and Preventive Medicine, San Diego, UC","institution_ids":[]},{"raw_affiliation_string":"Department of Family and Preventive Medicine, UC San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018609918","display_name":"Serge Belongie","orcid":"https://orcid.org/0000-0002-0388-5217"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Serge Belongie","raw_affiliation_strings":["Department of Computer Science, Cornell University and Cornell NYC Tech"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cornell University and Cornell NYC Tech","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5068225668"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.24114154,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60100434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1011","last_page":"1015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10352","display_name":"Physical Activity and Health","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9682000279426575,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7764339447021484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7088124752044678},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6341270208358765},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.592538595199585},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5595241785049438},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.44880443811416626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36518317461013794},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3631630539894104},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3574336767196655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764339447021484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7088124752044678},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6341270208358765},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.592538595199585},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5595241785049438},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.44880443811416626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36518317461013794},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3631630539894104},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3574336767196655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2014.7025202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.677.2720","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.677.2720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vision.cornell.edu/se3/wp-content/uploads/2014/11/icip14_sensecam1.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W148513544","https://openalex.org/W633553807","https://openalex.org/W1566135517","https://openalex.org/W1606858007","https://openalex.org/W2010826556","https://openalex.org/W2053229256","https://openalex.org/W2059861553","https://openalex.org/W2102605133","https://openalex.org/W2105046342","https://openalex.org/W2108598243","https://openalex.org/W2108666265","https://openalex.org/W2118585731","https://openalex.org/W2124386111","https://openalex.org/W2136285007","https://openalex.org/W2155541015","https://openalex.org/W2163605009","https://openalex.org/W2165605600","https://openalex.org/W2169177311","https://openalex.org/W2206858481","https://openalex.org/W2612253164","https://openalex.org/W2900726805","https://openalex.org/W4241707417","https://openalex.org/W4294375521","https://openalex.org/W6605987038","https://openalex.org/W6675026286","https://openalex.org/W6677656871","https://openalex.org/W6682778277","https://openalex.org/W6684191040","https://openalex.org/W6684872329","https://openalex.org/W6688059459"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2294565841","https://openalex.org/W2611989081","https://openalex.org/W3204276839","https://openalex.org/W4229671472","https://openalex.org/W2513792068","https://openalex.org/W2519522639","https://openalex.org/W4293469093","https://openalex.org/W4230611425","https://openalex.org/W4380075502"],"abstract_inverted_index":{"We":[0,16,52,72],"describe":[1],"a":[2,18,48,54,63,75],"study":[3],"that":[4,65],"aims":[5],"to":[6,21,24,78],"understand":[7],"physical":[8],"activity":[9],"and":[10,121],"sedentary":[11],"behavior":[12],"in":[13,34,59],"free-living":[14],"settings.":[15],"employed":[17],"wearable":[19],"camera":[20],"record":[22],"3":[23],"5":[25],"days":[26],"of":[27,103],"imaging":[28],"data":[29],"with":[30,47],"40":[31],"participants,":[32],"resulting":[33],"over":[35],"360,000":[36],"images.":[37],"These":[38],"images":[39],"were":[40],"then":[41,73],"fully":[42],"annotated":[43],"by":[44],"experienced":[45],"staff":[46],"rigorous":[49],"coding":[50],"protocol.":[51],"designed":[53],"deep":[55,80],"learning":[56,81],"based":[57,82],"classifier":[58],"which":[60],"we":[61],"adapted":[62],"model":[64],"was":[66],"originally":[67],"trained":[68],"for":[69,118,127],"ImageNet":[70],"[1].":[71],"added":[74],"spatio-temporal":[76],"pyramid":[77],"our":[79,87,99,106],"classifier.":[83],"Our":[84],"results":[85],"show":[86],"pro-posed":[88],"method":[89],"performs":[90],"better":[91],"than":[92,110,123],"the":[93,104],"state-of-the-art":[94],"visual":[95],"classification":[96],"methods":[97],"on":[98],"dataset.":[100],"For":[101],"most":[102],"labels":[105,120],"system":[107],"achieves":[108],"more":[109,122],"90":[111],"%":[112],"average":[113,125],"accuracy":[114,126],"across":[115],"different":[116],"individuals":[117],"frequent":[119],"80%":[124],"rare":[128],"labels.":[129]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
