{"id":"https://openalex.org/W1982791972","doi":"https://doi.org/10.1109/icsmc.2011.6083638","title":"Collection and curation of a large reference dataset for activity recognition","display_name":"Collection and curation of a large reference dataset for activity recognition","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W1982791972","doi":"https://doi.org/10.1109/icsmc.2011.6083638","mag":"1982791972"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2011.6083638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2011.6083638","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/A5058570292","display_name":"Alberto Calatroni","orcid":"https://orcid.org/0000-0002-8789-3213"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Alberto Calatroni","raw_affiliation_strings":["Electronics Laboratory, ETH Z\u00fcrich, Zurich, Switzerland","Electronics Laboratory, ETH Z\u00fcrich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics Laboratory, ETH Z\u00fcrich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Electronics Laboratory, ETH Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051210293","display_name":"Daniel Roggen","orcid":"https://orcid.org/0000-0001-8033-6417"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Daniel Roggen","raw_affiliation_strings":["Electronics Laboratory, ETH Z\u00fcrich, Zurich, Switzerland","Electronics Laboratory, ETH Z\u00fcrich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics Laboratory, ETH Z\u00fcrich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Electronics Laboratory, ETH Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017473656","display_name":"Gerhard Tr\u00f6ster","orcid":"https://orcid.org/0000-0002-9278-1638"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Gerhard Troster","raw_affiliation_strings":["Electronics Laboratory, ETH Z\u00fcrich, Zurich, Switzerland","Electronics Laboratory, ETH Z\u00fcrich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronics Laboratory, ETH Z\u00fcrich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"Electronics Laboratory, ETH Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"30","last_page":"35"},"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7898963689804077},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6894118189811707},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6479352712631226},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6462892889976501},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.5919480919837952},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5528544783592224},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4675653874874115},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44156837463378906},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.43927890062332153},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.43623948097229004},{"id":"https://openalex.org/keywords/reference-data","display_name":"Reference data","score":0.4340323209762573},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4206332862377167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4172629117965698},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.41246360540390015},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3874112367630005},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.19888415932655334}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7898963689804077},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6894118189811707},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6479352712631226},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6462892889976501},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.5919480919837952},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5528544783592224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4675653874874115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44156837463378906},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.43927890062332153},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.43623948097229004},{"id":"https://openalex.org/C60478076","wikidata":"https://www.wikidata.org/wiki/Q3036835","display_name":"Reference data","level":2,"score":0.4340323209762573},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4206332862377167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4172629117965698},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41246360540390015},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3874112367630005},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.19888415932655334},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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":1,"locations":[{"id":"doi:10.1109/icsmc.2011.6083638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2011.6083638","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":[{"display_name":"Industry, innovation and infrastructure","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1553634967","https://openalex.org/W1595052838","https://openalex.org/W2010899561","https://openalex.org/W2078046413","https://openalex.org/W2103902674","https://openalex.org/W2122039611","https://openalex.org/W2122690764","https://openalex.org/W2126511896","https://openalex.org/W2137659841","https://openalex.org/W2801268113","https://openalex.org/W6679380999","https://openalex.org/W6751578113"],"related_works":["https://openalex.org/W2185469136","https://openalex.org/W2011264131","https://openalex.org/W3195649134","https://openalex.org/W4306353150","https://openalex.org/W2026860389","https://openalex.org/W8219677","https://openalex.org/W3216879894","https://openalex.org/W2890132085","https://openalex.org/W2281498195","https://openalex.org/W3207883763"],"abstract_inverted_index":{"The":[0],"field":[1],"of":[2,46,68,104,125],"research":[3],"on":[4,24,85],"activity":[5,58],"recognition":[6,59],"is":[7],"relatively":[8],"young":[9],"compared":[10],"to":[11,64,76,108,120],"others,":[12],"like":[13],"computer":[14],"vision.":[15],"In":[16],"more":[17],"mature":[18],"fields,":[19],"algorithms":[20,30],"are":[21,74],"usually":[22],"tested":[23,37],"standardized,":[25],"reference":[26,52,93],"datasets.":[27],"This":[28],"way,":[29],"coming":[31],"from":[32,114],"different":[33],"groups":[34],"can":[35],"be":[36],"in":[38],"a":[39,51,78,92,96,105,110],"fair":[40],"manner,":[41],"which":[42,73],"accelerates":[43],"the":[44,65,102,115,121,126],"process":[45],"developing":[47],"new":[48],"knowledge.":[49],"Collecting":[50],"dataset":[53,94],"under":[54],"realistic":[55],"settings":[56],"for":[57,101],"poses":[60],"many":[61],"challenges":[62],"due":[63],"large":[66],"amount":[67],"sensors":[69],"and":[70,117,123],"sensor":[71],"modalities":[72],"needed":[75],"provide":[77],"sufficiently":[79],"complete":[80],"playground.":[81],"We":[82,99],"here":[83],"report":[84],"some":[86],"lessons":[87],"learned":[88],"while":[89],"collecting":[90],"such":[91],"with":[95],"heterogeneous":[97],"setup.":[98],"argue":[100],"importance":[103],"few":[106],"principles":[107],"obtain":[109],"clean":[111],"dataset,":[112],"starting":[113],"sampling":[116],"acquisition,":[118],"down":[119],"synchronization":[122],"labeling":[124],"data.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}