{"id":"https://openalex.org/W2567983020","doi":"https://doi.org/10.1109/iecon.2016.7793962","title":"Improvement of child activity recognition algorithm for accurate calculation of consumption calorie","display_name":"Improvement of child activity recognition algorithm for accurate calculation of consumption calorie","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2567983020","doi":"https://doi.org/10.1109/iecon.2016.7793962","mag":"2567983020"},"language":"en","primary_location":{"id":"doi:10.1109/iecon.2016.7793962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2016.7793962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2016 - 42nd 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":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.2061882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"5915","last_page":"5920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10010","display_name":"Obesity, Physical Activity, Diet","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9359999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6901748180389404},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.5413986444473267},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.486433744430542}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901748180389404},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.5413986444473267},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.486433744430542},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iecon.2016.7793962","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon.2016.7793962","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"},{"id":"mag:2911813647","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702282192678140","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4000000059604645}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324549","display_name":"Benesse Holdings","ror":"https://ror.org/01dm0yq38"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1995461206","https://openalex.org/W2017634428","https://openalex.org/W2028811420","https://openalex.org/W2070034676","https://openalex.org/W2074276081","https://openalex.org/W2082832830","https://openalex.org/W2096161434","https://openalex.org/W2099061154","https://openalex.org/W2103388129","https://openalex.org/W2107065593","https://openalex.org/W2133990480","https://openalex.org/W2140463114","https://openalex.org/W2141023639","https://openalex.org/W2141695788","https://openalex.org/W2159543432","https://openalex.org/W2183329535","https://openalex.org/W2185218444","https://openalex.org/W2284964568","https://openalex.org/W4234432254","https://openalex.org/W6686069908"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Childhood":[0],"obesity":[1],"is":[2],"considered":[3],"as":[4,51],"a":[5,30,52,123,137,177,187],"risk":[6],"of":[7,33,97,103,126,140,155,159,173],"likely":[8],"adulthood":[9],"obesity.":[10],"Health":[11],"management":[12],"system":[13,32,38,183,195],"for":[14,39,47,54,163],"children":[15,48],"to":[16,119,167],"prevent":[17],"it":[18],"is,":[19],"however,":[20],"not":[21,112],"sufficient.":[22],"The":[23],"authors'":[24],"research":[25],"group":[26],"has":[27],"been":[28],"studying":[29],"monitoring":[31],"child":[34],"growth":[35],"named":[36],"Kinder-Guardian":[37],"it.":[40],"In":[41,59,90],"this":[42,60,153],"system,":[43],"activity":[44,93,156,165],"recognition":[45,109],"algorithm":[46],"was":[49,129,184,190],"used":[50,130],"method":[53],"watching":[55],"over":[56],"their":[57],"activity.":[58],"algorithm,":[61],"child's":[62],"activities":[63,98,133],"are":[64],"classified":[65],"and":[66,79,101,131,142,148],"verified":[67],"using":[68,180],"several":[69],"clustering":[70],"algorithms":[71],"(J48,":[72],"Naive":[73],"Bayes,":[74],"Random":[75,77],"Forest,":[76],"Tree,":[78],"REPtree)":[80],"based":[81,106],"on":[82,107,152],"the":[83,108,121,181,193],"feature":[84],"amount":[85],"computed":[86,160],"from":[87],"acceleration":[88,127],"data.":[89],"our":[91],"previous":[92,174],"recognition,":[94,157],"eleven":[95],"kinds":[96],"were":[99,134,144],"assumed,":[100],"calculation":[102],"calorie":[104,161],"consumption":[105,162],"accuracy":[110,139],"did":[111],"work":[113],"well":[114,197],"sufficiently.":[115],"Therefore,":[116],"in":[117,146,171,186],"order":[118],"improve":[120],"AR,":[122],"horizontal-vertical":[124],"decomposition":[125],"signal":[128],"nine":[132],"assumed.":[135],"As":[136],"result,":[138],"\u201cSitting\u201d":[141],"\u201cRunning\u201d":[143],"improved":[145],"61.4%":[147],"31.9%,":[149],"respectively.":[150],"Based":[151],"result":[154],"precisions":[158],"each":[164],"became":[166],"be":[168],"higher":[169],"than":[170],"case":[172],"AR.":[175],"Moreover,":[176],"field":[178],"test":[179],"prototype":[182,194],"performed":[185],"kindergarten.":[188],"It":[189],"confirmed":[191],"that":[192],"worked":[196],"automatically":[198],"under":[199],"daily":[200],"kindergarten":[201],"operation.":[202]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}