{"id":"https://openalex.org/W2218390127","doi":"https://doi.org/10.1109/eusipco.2015.7362796","title":"Daily activity recognition based on DNN using environmental sound and acceleration signals","display_name":"Daily activity recognition based on DNN using environmental sound and acceleration signals","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2218390127","doi":"https://doi.org/10.1109/eusipco.2015.7362796","mag":"2218390127"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","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/A5078778981","display_name":"Tomoki Hayashi","orcid":"https://orcid.org/0000-0001-8782-4093"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tomoki Hayashi","raw_affiliation_strings":["Nagoya Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya Univ., Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109009818","display_name":"Masafumi Nishida","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masafumi Nishida","raw_affiliation_strings":["Nagoya Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya Univ., Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077234015","display_name":"Norihide Kitaoka","orcid":"https://orcid.org/0000-0003-2028-8585"},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Norihide Kitaoka","raw_affiliation_strings":["The Univ. of Tokushima, Japan"],"affiliations":[{"raw_affiliation_string":"The Univ. of Tokushima, Japan","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042118446","display_name":"Kazuya Takeda","orcid":"https://orcid.org/0000-0002-0330-1787"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuya Takeda","raw_affiliation_strings":["Nagoya Univ., Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya Univ., Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078778981"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":1.1046,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.85015577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2306","last_page":"2310"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.978600025177002,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9778000116348267,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.8048133850097656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7238929271697998},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6298372745513916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6080239415168762},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.6074671745300293},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5918895602226257},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5786083936691284},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5365984439849854},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5327513217926025},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3492155969142914}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8048133850097656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7238929271697998},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6298372745513916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6080239415168762},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.6074671745300293},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5918895602226257},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5786083936691284},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5365984439849854},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5327513217926025},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3492155969142914},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eusipco.2015.7362796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W98188630","https://openalex.org/W1498436455","https://openalex.org/W1904365287","https://openalex.org/W1977834503","https://openalex.org/W1988794819","https://openalex.org/W1999603972","https://openalex.org/W2017634428","https://openalex.org/W2105046342","https://openalex.org/W2149845449","https://openalex.org/W2160860215","https://openalex.org/W4312531999","https://openalex.org/W6640036494","https://openalex.org/W6681900609"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W2090763504","https://openalex.org/W2281498195","https://openalex.org/W1989791859","https://openalex.org/W2390829436","https://openalex.org/W1971289376","https://openalex.org/W148178222","https://openalex.org/W2506504620","https://openalex.org/W2565094479","https://openalex.org/W2017526120"],"abstract_inverted_index":{"We":[0,27],"propose":[1],"a":[2,12,41,58,65,101],"new":[3],"method":[4,35,56,82,86,103],"of":[5,62,69,76,104],"recognizing":[6],"daily":[7,77,105],"human":[8],"activities":[9],"based":[10],"on":[11],"Deep":[13],"Neural":[14],"Network":[15],"(DNN),":[16],"using":[17,46],"multimodal":[18],"signals":[19],"such":[20,39],"as":[21,40],"environmental":[22],"sound":[23],"and":[24,64],"subject":[25],"acceleration.":[26],"conduct":[28],"recognition":[29],"experiments":[30],"to":[31,36],"compare":[32],"the":[33,80,84],"proposed":[34,55,81],"other":[37],"methods":[38],"Support":[42],"Vector":[43],"Machine":[44],"(SVM),":[45],"real-world":[47],"data":[48],"recorded":[49],"continuously":[50],"over":[51],"72":[52],"hours.":[53],"Our":[54],"achieved":[57],"frame":[59],"accuracy":[60,67],"rate":[61,68],"85.5%":[63],"sample":[66],"91.7%":[70],"when":[71,87],"identifying":[72],"nine":[73],"different":[74],"types":[75],"activities.":[78],"Furthermore,":[79],"outperformed":[83],"SVM-based":[85],"an":[88],"additional":[89],"\"Other\"":[90],"activity":[91,106],"category":[92],"was":[93],"included.":[94],"Therefore,":[95],"we":[96],"demonstrate":[97],"that":[98],"DNNs":[99],"are":[100],"robust":[102],"recognition.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}