{"id":"https://openalex.org/W2806149423","doi":"https://doi.org/10.1109/percomw.2018.8480409","title":"Towards Systematic Benchmarking of Activity Recognition Algorithms","display_name":"Towards Systematic Benchmarking of Activity Recognition Algorithms","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2806149423","doi":"https://doi.org/10.1109/percomw.2018.8480409","mag":"2806149423"},"language":"en","primary_location":{"id":"doi:10.1109/percomw.2018.8480409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2018.8480409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5048691708","display_name":"Timo Sztyler","orcid":"https://orcid.org/0000-0001-8132-5920"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Timo Sztyler","raw_affiliation_strings":["University of Mannheim, Mannheim, Germany"],"affiliations":[{"raw_affiliation_string":"University of Mannheim, Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081017897","display_name":"Christian Meilicke","orcid":"https://orcid.org/0000-0002-0198-5396"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Meilicke","raw_affiliation_strings":["University of Mannheim, Mannheim, Germany"],"affiliations":[{"raw_affiliation_string":"University of Mannheim, Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050425933","display_name":"Heiner Stuckenschmidt","orcid":"https://orcid.org/0000-0002-0209-3859"},"institutions":[{"id":"https://openalex.org/I177802217","display_name":"University of Mannheim","ror":"https://ror.org/031bsb921","country_code":"DE","type":"education","lineage":["https://openalex.org/I177802217"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Heiner Stuckenschmidt","raw_affiliation_strings":["University of Mannheim, Mannheim, Germany"],"affiliations":[{"raw_affiliation_string":"University of Mannheim, Mannheim, Germany","institution_ids":["https://openalex.org/I177802217"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048691708"],"corresponding_institution_ids":["https://openalex.org/I177802217"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04869051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"20"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9926000237464905,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9855999946594238,"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/benchmarking","display_name":"Benchmarking","score":0.9179493188858032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8390321135520935},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5619257688522339},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.5517211556434631},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5322492122650146},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5288634896278381},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5066936612129211},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48596489429473877},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4629543423652649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4382880926132202},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.41785457730293274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3378848731517792}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.9179493188858032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8390321135520935},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5619257688522339},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.5517211556434631},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5322492122650146},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5288634896278381},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5066936612129211},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48596489429473877},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4629543423652649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4382880926132202},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.41785457730293274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3378848731517792},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/percomw.2018.8480409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2018.8480409","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:ub-madoc.bib.uni-mannheim.de:43522","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/8480409","pdf_url":null,"source":{"id":"https://openalex.org/S4377196315","display_name":"MADOC (University of Mannheim)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I177802217","host_organization_name":"University of Mannheim","host_organization_lineage":["https://openalex.org/I177802217"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Konferenzver\u00f6ffentlichung"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W31461794","https://openalex.org/W136147141","https://openalex.org/W1975325338","https://openalex.org/W2015200434","https://openalex.org/W2054780155","https://openalex.org/W2140944144","https://openalex.org/W2183541457","https://openalex.org/W2340025709","https://openalex.org/W2555209581","https://openalex.org/W2566093627","https://openalex.org/W2595331287","https://openalex.org/W2615858777","https://openalex.org/W2624907881","https://openalex.org/W2747415854","https://openalex.org/W3105077040","https://openalex.org/W3125210009","https://openalex.org/W6601297003","https://openalex.org/W6678614386","https://openalex.org/W6703996351","https://openalex.org/W7026722888"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2112883198"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4,26],"a":[5,27,36,40,82],"benchmarking":[6],"frame-work":[7],"for":[8,17,31],"evaluating":[9],"activity":[10,19,32],"recognition":[11,20,33],"methods.":[12],"We":[13,72],"use":[14,76],"an":[15,43],"ontology":[16],"describing":[18],"datasets":[21,62],"on":[22,53],"the":[23,77],"meta-level":[24],"and":[25,63,79],"fine-grained":[28],"annotation":[29],"scheme":[30],"datasets.":[34,55],"Given":[35],"method":[37],"that":[38],"implements":[39],"defined":[41],"interface,":[42],"evaluation":[44,84],"client":[45],"can":[46],"be":[47],"used":[48],"to":[49,59,75],"automatically":[50],"run":[51],"experiments":[52],"annotated":[54],"Our":[56],"framework":[57,78],"helps":[58],"find":[60],"relevant":[61],"makes":[64],"results":[65],"reproducible":[66],"by":[67],"fixing":[68],"concrete":[69],"experimental":[70],"settings.":[71],"show":[73],"how":[74],"report":[80],"about":[81],"preliminary":[83],"experiment.":[85]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
