{"id":"https://openalex.org/W2284964568","doi":"https://doi.org/10.1109/iecon.2015.7392494","title":"Improvement of activity recognition for child growth monitoring system at kindergarten","display_name":"Improvement of activity recognition for child growth monitoring system at kindergarten","publication_year":2015,"publication_date":"2015-11-01","ids":{"openalex":"https://openalex.org/W2284964568","doi":"https://doi.org/10.1109/iecon.2015.7392494","mag":"2284964568"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2015.7392494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2015.7392494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society","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/A5075434077","display_name":"Shuehi Kurashima","orcid":null},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shuehi Kurashima","raw_affiliation_strings":["Department of Robotics and Mechatronics, Tokyo Denki University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Robotics and Mechatronics, Tokyo Denki University, Tokyo, Japan","institution_ids":["https://openalex.org/I165522056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103055800","display_name":"Satoshi Suzuki","orcid":"https://orcid.org/0000-0003-1341-2808"},"institutions":[{"id":"https://openalex.org/I165522056","display_name":"Tokyo Denki University","ror":"https://ror.org/01pa62v70","country_code":"JP","type":"education","lineage":["https://openalex.org/I165522056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Suzuki","raw_affiliation_strings":["Department of Robotics and Mechatronics, Tokyo Denki University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Robotics and Mechatronics, Tokyo Denki University, Tokyo, Japan","institution_ids":["https://openalex.org/I165522056"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075434077"],"corresponding_institution_ids":["https://openalex.org/I165522056"],"apc_list":null,"apc_paid":null,"fwci":0.3682,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70108204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"002596","last_page":"002601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9786999821662903,"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":0.9786999821662903,"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/T11446","display_name":"Mobile Health and mHealth Applications","score":0.9050999879837036,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.7048744559288025},{"id":"https://openalex.org/keywords/sitting","display_name":"Sitting","score":0.666644275188446},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6087701320648193},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.6002572178840637},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5372801423072815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.496310293674469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4298783242702484},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3862707018852234},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3419920802116394},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.33495795726776123},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12573403120040894}],"concepts":[{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.7048744559288025},{"id":"https://openalex.org/C2776370487","wikidata":"https://www.wikidata.org/wiki/Q1144593","display_name":"Sitting","level":2,"score":0.666644275188446},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6087701320648193},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.6002572178840637},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5372801423072815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.496310293674469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4298783242702484},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3862707018852234},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3419920802116394},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.33495795726776123},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12573403120040894},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon.2015.7392494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2015.7392494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1995461206","https://openalex.org/W2017634428","https://openalex.org/W2070034676","https://openalex.org/W2082832830","https://openalex.org/W2096161434","https://openalex.org/W2099061154","https://openalex.org/W2103388129","https://openalex.org/W2107065593","https://openalex.org/W2140463114","https://openalex.org/W2163710303","https://openalex.org/W4234432254","https://openalex.org/W6675757181"],"related_works":["https://openalex.org/W2585190064","https://openalex.org/W2414618191","https://openalex.org/W2580175325","https://openalex.org/W1576128429","https://openalex.org/W4311431118","https://openalex.org/W4382240674","https://openalex.org/W2269464716","https://openalex.org/W3181401746","https://openalex.org/W2982423860","https://openalex.org/W2983481687"],"abstract_inverted_index":{"Activity":[0],"recognition":[1,70],"is":[2],"possible":[3],"to":[4,7,49],"be":[5],"used":[6],"understand":[8],"behavior":[9],"of":[10,18,25,39,67,77,90],"infants":[11],"and":[12,16,36,65],"effective":[13],"for":[14],"health":[15],"development":[17],"children.":[19],"In":[20,56],"our":[21],"previous":[22],"study,":[23,58],"action":[24,40,60],"children":[26],"were":[27,71,83,94],"assumed":[28],"as":[29],"sleeping,":[30],"sitting,":[31],"hand":[32],"motion,":[33],"walking,":[34],"running,":[35],"playing.":[37],"Revise":[38],"items":[41,61,79,82,93],"were,":[42],"however,":[43],"required":[44],"because":[45],"it":[46],"was":[47],"difficult":[48],"calculate":[50],"calorie":[51],"consumption":[52],"in":[53],"the":[54,68],"previous.":[55],"this":[57],"11":[59,81],"are":[62],"newly":[63],"assumed,":[64],"accuracies":[66,76,89],"activity":[69],"investigated.":[72],"As":[73],"a":[74],"result,":[75],"4":[78],"among":[80],"improved":[84],"over":[85],"than":[86,96],"60%,":[87],"although":[88],"other":[91],"7":[92],"less":[95],"60%.":[97]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}