{"id":"https://openalex.org/W3047375249","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156170","title":"Annotation Performance for multi-channel time series HAR Dataset in Logistics","display_name":"Annotation Performance for multi-channel time series HAR Dataset in Logistics","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3047375249","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156170","mag":"3047375249"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops48775.2020.9156170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","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/A5079280711","display_name":"Christopher Reining","orcid":"https://orcid.org/0000-0003-4915-4070"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christopher Reining","raw_affiliation_strings":["Chair of Materials Handling and Warehousing, TU Dortmund University, Dortmund"],"affiliations":[{"raw_affiliation_string":"Chair of Materials Handling and Warehousing, TU Dortmund University, Dortmund","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068918618","display_name":"Fernando Moya Rueda","orcid":"https://orcid.org/0000-0001-8115-5968"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]},{"id":"https://openalex.org/I4210145666","display_name":"Embedded Systems (United States)","ror":"https://ror.org/04742eh45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145666"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Fernando Moya Rueda","raw_affiliation_strings":["Pattern Recognition in Embedded Systems Group, TU Dortmund University, Dortmund"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition in Embedded Systems Group, TU Dortmund University, Dortmund","institution_ids":["https://openalex.org/I200332995","https://openalex.org/I4210145666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084495046","display_name":"Friedrich Niemann","orcid":"https://orcid.org/0000-0002-4827-3206"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Friedrich Niemann","raw_affiliation_strings":["Chair of Materials Handling and Warehousing, TU Dortmund University, Dortmund"],"affiliations":[{"raw_affiliation_string":"Chair of Materials Handling and Warehousing, TU Dortmund University, Dortmund","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048407937","display_name":"Gernot A. Fink","orcid":"https://orcid.org/0000-0002-7446-7813"},"institutions":[{"id":"https://openalex.org/I4210145666","display_name":"Embedded Systems (United States)","ror":"https://ror.org/04742eh45","country_code":"US","type":"company","lineage":["https://openalex.org/I4210145666"]},{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Gernot A. Fink","raw_affiliation_strings":["Pattern Recognition in Embedded Systems Group, TU Dortmund University, Dortmund"],"affiliations":[{"raw_affiliation_string":"Pattern Recognition in Embedded Systems Group, TU Dortmund University, Dortmund","institution_ids":["https://openalex.org/I200332995","https://openalex.org/I4210145666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005976538","display_name":"Michael ten Hompel","orcid":"https://orcid.org/0000-0003-3349-4951"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael ten Hompel","raw_affiliation_strings":["Chair of Materials Handling and Warehousing, TU Dortmund University, Dortmund"],"affiliations":[{"raw_affiliation_string":"Chair of Materials Handling and Warehousing, TU Dortmund University, Dortmund","institution_ids":["https://openalex.org/I200332995"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5079280711"],"corresponding_institution_ids":["https://openalex.org/I200332995"],"apc_list":null,"apc_paid":null,"fwci":1.3638,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.81356155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9987999796867371,"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":0.9976999759674072,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.8008347153663635},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7701625823974609},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7515201568603516},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.49985241889953613},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4955390691757202},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.46523112058639526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44861167669296265},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4339170455932617},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41274744272232056},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34855616092681885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08256542682647705}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.8008347153663635},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7701625823974609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7515201568603516},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.49985241889953613},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4955390691757202},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.46523112058639526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44861167669296265},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4339170455932617},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41274744272232056},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34855616092681885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08256542682647705},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomworkshops48775.2020.9156170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1506491340","https://openalex.org/W1923184257","https://openalex.org/W1966976587","https://openalex.org/W2126511896","https://openalex.org/W2128532956","https://openalex.org/W2130580359","https://openalex.org/W2270470215","https://openalex.org/W2520111655","https://openalex.org/W2751506590","https://openalex.org/W2758688381","https://openalex.org/W2759013978","https://openalex.org/W2794410164","https://openalex.org/W2888255003","https://openalex.org/W2891539715","https://openalex.org/W2903662896","https://openalex.org/W2962728655","https://openalex.org/W4294214983","https://openalex.org/W4301311593","https://openalex.org/W6745131566"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W4229499248","https://openalex.org/W2392921965","https://openalex.org/W2566006169","https://openalex.org/W1567818861"],"abstract_inverted_index":{"This":[0],"contribution":[1],"proposes":[2],"an":[3],"approach":[4],"for":[5,14,33,47,95,105,111,118],"annotating":[6],"human":[7],"actions":[8],"and":[9,29,38,51,54,116,122],"their":[10],"coarse":[11],"semantic":[12,52],"descriptions":[13],"multichannel":[15],"time-series.":[16],"For":[17],"this":[18],"purpose,":[19],"a":[20,66],"new":[21],"dataset":[22,96],"that":[23],"consists":[24],"of":[25,45,83,101],"Optical":[26],"Motion":[27],"Capturing":[28],"IMU":[30],"time-series":[31],"data":[32],"industrial":[34,106],"deployment":[35],"is":[36],"created":[37],"annotated":[39],"by":[40,65,81],"6":[41],"individuals.":[42],"The":[43,60,88,108],"expenditure":[44],"time":[46],"labelling,":[48],"both":[49],"classes":[50],"attributes,":[53],"the":[55,75,93,99,119],"annotation":[56],"consistency":[57,112],"are":[58,63,86],"examined.":[59],"initial":[61,120],"annotations":[62],"revised":[64],"single":[67],"domain":[68],"expert":[69],"to":[70],"measure":[71],"its":[72],"effect":[73],"on":[74,92],"overall":[76],"between-individual":[77],"consistency.":[78],"Consistency":[79],"measurements":[80],"means":[82],"Cohen's":[84,109],"\u03ba":[85,110],"analysed.":[87],"results":[89],"give":[90],"insights":[91],"effort":[94],"creation":[97],"in":[98],"field":[100],"Human":[102],"Activity":[103],"Recognition":[104],"application.":[107],"assessment":[113],"was":[114],"moderate":[115],"substantial":[117],"annotation,":[121],"it":[123],"increased":[124],"slightly":[125],"after":[126],"revision.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}