{"id":"https://openalex.org/W2030980398","doi":"https://doi.org/10.1109/icsmc.2011.6083640","title":"Exploring and extending the boundaries of physical activity recognition","display_name":"Exploring and extending the boundaries of physical activity recognition","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W2030980398","doi":"https://doi.org/10.1109/icsmc.2011.6083640","mag":"2030980398"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2011.6083640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2011.6083640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Systems, Man, and Cybernetics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5043824536","display_name":"Attila Reiss","orcid":null},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Attila Reiss","raw_affiliation_strings":["Department of Augmented Vision, German Research Center of Artificial Intelligence, Kaiserslautern, Germany","Department of Augmented Vision, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Augmented Vision, German Research Center of Artificial Intelligence, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"Department of Augmented Vision, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026110715","display_name":"Markus Weber","orcid":"https://orcid.org/0000-0001-8203-0382"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Weber","raw_affiliation_strings":["Department of Augmented Vision, German Research Center of Artificial Intelligence, Kaiserslautern, Germany","Department of Augmented Vision, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Augmented Vision, German Research Center of Artificial Intelligence, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"Department of Augmented Vision, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051650277","display_name":"Didier Stricker","orcid":"https://orcid.org/0009-0004-8794-6858"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Didier Stricker","raw_affiliation_strings":["Department of Augmented Vision, German Research Center of Artificial Intelligence, Kaiserslautern, Germany","Department of Augmented Vision, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Augmented Vision, German Research Center of Artificial Intelligence, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]},{"raw_affiliation_string":"Department of Augmented Vision, German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany","institution_ids":["https://openalex.org/I33256026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33256026"],"apc_list":null,"apc_paid":null,"fwci":2.8534,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.93241893,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T11446","display_name":"Mobile Health and mHealth Applications","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10803","display_name":"Innovative Human-Technology Interaction","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/activity-recognition","display_name":"Activity recognition","score":0.882936954498291},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7555155754089355},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.6362370252609253},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.49357807636260986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4653193950653076},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46307218074798584},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4214102029800415},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32779794931411743},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09219828248023987},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05795887112617493}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.882936954498291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7555155754089355},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.6362370252609253},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.49357807636260986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4653193950653076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46307218074798584},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4214102029800415},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32779794931411743},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09219828248023987},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05795887112617493},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2011.6083640","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2011.6083640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Systems, Man, and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W98188630","https://openalex.org/W1824200880","https://openalex.org/W2076747244","https://openalex.org/W2091043300","https://openalex.org/W2096731057","https://openalex.org/W2105046342","https://openalex.org/W2124609194","https://openalex.org/W2133075061","https://openalex.org/W2133990480","https://openalex.org/W2144852094","https://openalex.org/W2146476355","https://openalex.org/W2148217011","https://openalex.org/W2148857358","https://openalex.org/W2164427779","https://openalex.org/W2337167115","https://openalex.org/W4235773224","https://openalex.org/W6604091132","https://openalex.org/W6703010214"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3011192796","https://openalex.org/W4281386417","https://openalex.org/W3135542633","https://openalex.org/W4249229055","https://openalex.org/W4312501200","https://openalex.org/W4310447957","https://openalex.org/W3161460241","https://openalex.org/W3197848046"],"abstract_inverted_index":{"This":[0,95],"paper":[1,40],"discusses":[2],"several":[3],"aspects":[4],"and":[5,21,54,127],"practical":[6,60],"issues":[7],"of":[8,30,34,38,47,62,69,79,82,88,91,110,116,143],"physical":[9],"activity":[10,14,49,63,111,153],"recognition.":[11],"Many":[12],"existent":[13],"recognition":[15,50,64,112,154],"applications":[16],"only":[17,77],"include":[18],"the":[19,28,35,45,67,80,89,108,141,151],"few":[20],"well":[22],"known":[23],"basic":[24],"activities,":[25,53],"thus":[26],"limiting":[27],"applicability":[29],"these":[31],"systems.":[32,113],"One":[33],"main":[36],"goals":[37],"this":[39,117,138],"is":[41,72],"to":[42,55,150],"point":[43],"out":[44,136],"importance":[46],"extending":[48],"with":[51,124],"background":[52],"demonstrate":[56],"its":[57],"effects.":[58],"Another":[59],"issue":[61],"is,":[65],"that":[66,98],"comparison":[68],"different":[70,92,129],"approaches":[71],"often":[73],"not":[74,76],"possible":[75],"because":[78,87],"lack":[81],"common":[83],"datasets,":[84],"but":[85],"also":[86],"usage":[90],"evaluation":[93,109],"methods.":[94],"work":[96,118,139],"argues,":[97],"usually":[99],"subject":[100],"independent":[101],"validation":[102],"techniques":[103],"should":[104],"be":[105],"applied":[106],"for":[107,156],"The":[114],"statements":[115],"are":[119],"demonstrated":[120],"on":[121],"a":[122],"dataset":[123],"8":[125],"subjects":[126],"13":[128],"activities.":[130],"Finally,":[131],"an":[132],"empirical":[133],"study":[134],"carried":[135],"within":[137],"shows":[140],"feasibility":[142],"using":[144],"more":[145],"complex":[146],"classifiers":[147],"(required":[148],"due":[149],"extended":[152],"problem)":[155],"mobile":[157],"applications.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}