{"id":"https://openalex.org/W2889747329","doi":"https://doi.org/10.1145/3266157.3266219","title":"Combining off-the-shelf Image Classifiers with Transfer Learning for Activity Recognition","display_name":"Combining off-the-shelf Image Classifiers with Transfer Learning for Activity Recognition","publication_year":2018,"publication_date":"2018-09-20","ids":{"openalex":"https://openalex.org/W2889747329","doi":"https://doi.org/10.1145/3266157.3266219","mag":"2889747329"},"language":"en","primary_location":{"id":"doi:10.1145/3266157.3266219","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3266157.3266219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction","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/A5053443459","display_name":"Amit Kumar","orcid":"https://orcid.org/0000-0002-1342-6073"},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Amit Kumar","raw_affiliation_strings":["University of Rostock, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"University of Rostock, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055405987","display_name":"Kristina Yordanova","orcid":"https://orcid.org/0000-0002-6428-1062"},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kristina Yordanova","raw_affiliation_strings":["University of Rostock, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"University of Rostock, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012782091","display_name":"Thomas Kirste","orcid":"https://orcid.org/0000-0002-8956-9820"},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Kirste","raw_affiliation_strings":["University of Rostock, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"University of Rostock, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046933902","display_name":"Mohit Kumar","orcid":"https://orcid.org/0000-0002-3355-8815"},"institutions":[{"id":"https://openalex.org/I4665924","display_name":"University of Rostock","ror":"https://ror.org/03zdwsf69","country_code":"DE","type":"education","lineage":["https://openalex.org/I4665924"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mohit Kumar","raw_affiliation_strings":["University of Rostock, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"University of Rostock, Rostock, Germany","institution_ids":["https://openalex.org/I4665924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053443459"],"corresponding_institution_ids":["https://openalex.org/I4665924"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.44520948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9988999962806702,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9988999962806702,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9973999857902527,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7490932941436768},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7458516359329224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.745254635810852},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6855069398880005},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.6708766222000122},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5988183617591858},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.590483546257019},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5622696876525879},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5148279070854187},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5067089200019836},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.478630930185318},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4377969801425934},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.32646307349205017}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490932941436768},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7458516359329224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.745254635810852},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6855069398880005},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.6708766222000122},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5988183617591858},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.590483546257019},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5622696876525879},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5148279070854187},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5067089200019836},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.478630930185318},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4377969801425934},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.32646307349205017},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3266157.3266219","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3266157.3266219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Workshop on Sensor-based Activity Recognition and Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6445204732","display_name":null,"funder_award_id":"YO 226/1-1","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1906598733","https://openalex.org/W2025198378","https://openalex.org/W2054780155","https://openalex.org/W2057815930","https://openalex.org/W2065502920","https://openalex.org/W2066536551","https://openalex.org/W2093866254","https://openalex.org/W2100495367","https://openalex.org/W2133601766","https://openalex.org/W2136922672","https://openalex.org/W2150913357","https://openalex.org/W2157968878","https://openalex.org/W2225156818","https://openalex.org/W2465488276","https://openalex.org/W2469651370","https://openalex.org/W2579984156","https://openalex.org/W2896642929","https://openalex.org/W2911792760","https://openalex.org/W3101380508"],"related_works":["https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013","https://openalex.org/W4389543811"],"abstract_inverted_index":{"Human":[0],"Activity":[1],"Recognition":[2],"(HAR)":[3],"plays":[4],"an":[5,155,178],"important":[6],"role":[7],"in":[8,22,34,39,83],"many":[9],"real":[10],"world":[11],"applications.":[12],"Currently,":[13],"various":[14],"techniques":[15],"have":[16,41],"been":[17],"proposed":[18],"for":[19,104,154],"sensor-based":[20],"\"HAR\"":[21,128],"daily":[23],"health":[24],"monitoring,":[25],"rehabilitative":[26],"training":[27,105,186],"and":[28,36,45,57,110,193,198],"disease":[29],"prevention.":[30],"However,":[31],"non-visual":[32],"sensors":[33,38],"general":[35],"wearable":[37,49],"specific":[40],"several":[42],"limitations:":[43],"acceptability":[44],"willingness":[46],"to":[47,80,127,191],"use":[48],"sensors;":[50],"battery":[51],"life;":[52],"ease":[53],"of":[54,59,86,92,146,157,161,181,195],"use;":[55],"size":[56],"effectiveness":[58],"the":[60,78,144,158,162,165,172,187],"sensors.":[61],"Therefore,":[62],"adopting":[63,124],"vision-based":[64,125],"human":[65],"activity":[66,95],"recognition":[67],"approach":[68,126],"is":[69,107,140,183],"more":[70],"viable":[71],"option":[72],"since":[73],"its":[74],"diversity":[75],"would":[76],"enable":[77],"application":[79],"be":[81],"deployed":[82],"wide":[84],"range":[85],"domains.":[87],"The":[88],"most":[89],"popular":[90],"technique":[91,122],"vision":[93],"based":[94],"recognition,":[96],"Deep":[97,133],"Learning,":[98],"however,":[99],"requires":[100],"huge":[101],"domain-specific":[102],"datasets":[103],"which,":[106],"time":[108],"consuming":[109],"expensive.":[111],"To":[112],"address":[113],"this":[114,116],"problem":[115],"paper":[117],"proposes":[118],"a":[119],"Transfer":[120],"Learning":[121,134],"by":[123,129,142],"using":[130],"already":[131],"trained":[132],"models.":[135],"A":[136],"new":[137],"stochastic":[138],"model":[139,188],"developed":[141],"borrowing":[143],"concept":[145],"\"Dirichlet":[147],"Alloaction\"":[148],"from":[149],"Latent":[150],"Dirichlet":[151],"Allocation":[152],"(LDA)":[153],"inference":[156],"posterior":[159],"distribution":[160],"variables":[163],"relating":[164],"deep":[166],"learning":[167],"classifiers":[168],"predicted":[169],"labels":[170],"with":[171],"corresponding":[173],"activities.":[174],"Results":[175],"show":[176],"that":[177],"average":[179],"accuracy":[180],"95.43%":[182],"achieved":[184],"during":[185],"as":[189],"compared":[190],"74.88":[192],"61.4%":[194],"Decision":[196],"Tree":[197],"SVM":[199],"respectively.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}