{"id":"https://openalex.org/W4387542709","doi":"https://doi.org/10.1145/3615834.3615854","title":"Using Deep Learning to Identify Persons by their Movement on a Sensor Floor","display_name":"Using Deep Learning to Identify Persons by their Movement on a Sensor Floor","publication_year":2023,"publication_date":"2023-09-21","ids":{"openalex":"https://openalex.org/W4387542709","doi":"https://doi.org/10.1145/3615834.3615854"},"language":"en","primary_location":{"id":"doi:10.1145/3615834.3615854","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3615834.3615854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence","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/A5101532161","display_name":"Felicia Bader","orcid":"https://orcid.org/0009-0002-2224-8042"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Felicia Bader","raw_affiliation_strings":["University of Luebeck, Germany and Sensprotect GmbH, Germany"],"raw_orcid":"https://orcid.org/0009-0002-2224-8042","affiliations":[{"raw_affiliation_string":"University of Luebeck, Germany and Sensprotect GmbH, Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007121121","display_name":"Laura Liebenow","orcid":"https://orcid.org/0009-0008-5233-3866"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Laura Liebenow","raw_affiliation_strings":["University of Luebeck, Germany"],"raw_orcid":"https://orcid.org/0009-0008-5233-3866","affiliations":[{"raw_affiliation_string":"University of Luebeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039915643","display_name":"Axel Steinhage","orcid":"https://orcid.org/0009-0002-0379-0434"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Axel Steinhage","raw_affiliation_strings":["Sensprotect GmbH, Germany"],"raw_orcid":"https://orcid.org/0009-0002-0379-0434","affiliations":[{"raw_affiliation_string":"Sensprotect GmbH, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12242505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9976999759674072,"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":0.9976999759674072,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.6759552955627441},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6076804399490356},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47610151767730713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4451286196708679},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36204689741134644},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.10528680682182312}],"concepts":[{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.6759552955627441},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6076804399490356},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47610151767730713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4451286196708679},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36204689741134644},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.10528680682182312},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3615834.3615854","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3615834.3615854","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence","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":6,"referenced_works":["https://openalex.org/W2145881665","https://openalex.org/W2193066722","https://openalex.org/W2468717994","https://openalex.org/W2767397225","https://openalex.org/W2789868604","https://openalex.org/W4285107985"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"We":[0],"present":[1],"an":[2],"approach":[3],"to":[4,43,66],"identify":[5],"persons":[6],"based":[7],"on":[8,11,24],"their":[9],"movement":[10,64],"a":[12,35,49],"sensor":[13,27,72],"floor.":[14],"Three":[15],"types":[16],"of":[17,52,58,63,96],"deep":[18],"learning":[19],"neural":[20],"networks":[21],"were":[22],"trained":[23],"five":[25],"subjects\u2019":[26],"data":[28,65],"collected":[29],"during":[30],"ordinary":[31],"working":[32],"days":[33],"in":[34,55,84,92,102],"test":[36],"room.":[37],"A":[38],"Transformer":[39],"network":[40],"architecture":[41],"proved":[42],"be":[44,75],"the":[45,56,67,71,81,93,103],"most":[46],"successful,":[47],"achieving":[48],"recognition":[50],"rate":[51],"over":[53],"90%":[54],"task":[57],"assigning":[59],"just":[60],"one":[61],"minute":[62],"correct":[68],"person.":[69],"Since":[70],"floor":[73],"can":[74],"installed":[76],"invisibly":[77],"under":[78],"normal":[79],"flooring,":[80],"findings":[82],"result":[83],"new":[85],"applications,":[86],"e.g.":[87],"for":[88],"security":[89],"systems":[90],"or":[91],"early":[94],"detection":[95],"health":[97],"problems":[98],"that":[99],"are":[100],"reflected":[101],"gait":[104],"pattern.":[105]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}