{"id":"https://openalex.org/W2998801566","doi":"https://doi.org/10.1109/thms.2019.2960630","title":"Annotation Generation From IMU-Based Human Whole-Body Motions in Daily Life Behavior","display_name":"Annotation Generation From IMU-Based Human Whole-Body Motions in Daily Life Behavior","publication_year":2020,"publication_date":"2020-01-09","ids":{"openalex":"https://openalex.org/W2998801566","doi":"https://doi.org/10.1109/thms.2019.2960630","mag":"2998801566"},"language":"en","primary_location":{"id":"doi:10.1109/thms.2019.2960630","is_oa":true,"landing_page_url":"https://doi.org/10.1109/thms.2019.2960630","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221037/8960664/08954775.pdf","source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/6221037/8960664/08954775.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019765580","display_name":"Wataru Takano","orcid":"https://orcid.org/0000-0002-4846-3552"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wataru Takano","raw_affiliation_strings":["Center for Mathematical Modeling and Data Science, Toyonaka, Japan"],"affiliations":[{"raw_affiliation_string":"Center for Mathematical Modeling and Data Science, Toyonaka, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5019765580"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9816,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.77537028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"50","issue":"1","first_page":"13","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9988999962806702,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9988999962806702,"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/T12290","display_name":"Human Motion and Animation","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/motion","display_name":"Motion (physics)","score":0.7219496369361877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7142059803009033},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6907037496566772},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.655540406703949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6242425441741943},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5323767066001892},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5223706364631653},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4876786470413208},{"id":"https://openalex.org/keywords/human-body","display_name":"Human body","score":0.46376702189445496},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.41456738114356995},{"id":"https://openalex.org/keywords/biological-motion","display_name":"Biological motion","score":0.41241276264190674},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4103519320487976},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39330923557281494},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1442091166973114},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12337642908096313}],"concepts":[{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.7219496369361877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7142059803009033},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6907037496566772},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.655540406703949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6242425441741943},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5323767066001892},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5223706364631653},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4876786470413208},{"id":"https://openalex.org/C193293595","wikidata":"https://www.wikidata.org/wiki/Q23852","display_name":"Human body","level":2,"score":0.46376702189445496},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.41456738114356995},{"id":"https://openalex.org/C20864712","wikidata":"https://www.wikidata.org/wiki/Q667800","display_name":"Biological motion","level":3,"score":0.41241276264190674},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4103519320487976},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39330923557281494},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1442091166973114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12337642908096313},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/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/thms.2019.2960630","is_oa":true,"landing_page_url":"https://doi.org/10.1109/thms.2019.2960630","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221037/8960664/08954775.pdf","source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/thms.2019.2960630","is_oa":true,"landing_page_url":"https://doi.org/10.1109/thms.2019.2960630","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221037/8960664/08954775.pdf","source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1395300767","display_name":null,"funder_award_id":"Challenging Research","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3236194794","display_name":null,"funder_award_id":"Grant-in-Aid","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G3459562248","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4225694594","display_name":null,"funder_award_id":"Grant-in-Aid for Challenging Research","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4690793076","display_name":null,"funder_award_id":"17K20000","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G4874944895","display_name":null,"funder_award_id":"-in-Aid","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G6134231042","display_name":null,"funder_award_id":"Grant-in-Aid for Challenging Research (Exploratory","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G7752643416","display_name":null,"funder_award_id":"Japan","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"},{"id":"https://openalex.org/G8012574918","display_name":null,"funder_award_id":"Exploratory","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2998801566.pdf","grobid_xml":"https://content.openalex.org/works/W2998801566.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1769896327","https://openalex.org/W1976953979","https://openalex.org/W1982486572","https://openalex.org/W1991942383","https://openalex.org/W2005870832","https://openalex.org/W2023869074","https://openalex.org/W2032382874","https://openalex.org/W2037461669","https://openalex.org/W2058206076","https://openalex.org/W2101105183","https://openalex.org/W2102515918","https://openalex.org/W2108131333","https://openalex.org/W2108794515","https://openalex.org/W2113897020","https://openalex.org/W2128774515","https://openalex.org/W2130942839","https://openalex.org/W2142344747","https://openalex.org/W2143623899","https://openalex.org/W2145097496","https://openalex.org/W2145405314","https://openalex.org/W2151857564","https://openalex.org/W2154943827","https://openalex.org/W2155007355","https://openalex.org/W2160625746","https://openalex.org/W2163605009","https://openalex.org/W2575705757","https://openalex.org/W2586817051","https://openalex.org/W2614519765","https://openalex.org/W2618530766","https://openalex.org/W2801218449","https://openalex.org/W2862846329","https://openalex.org/W2889438493","https://openalex.org/W2919115771","https://openalex.org/W2964076328","https://openalex.org/W2964161785","https://openalex.org/W2970782657","https://openalex.org/W4255344641","https://openalex.org/W6677120643","https://openalex.org/W6679436768","https://openalex.org/W6682849425"],"related_works":["https://openalex.org/W4315750480","https://openalex.org/W4383748483","https://openalex.org/W4205657394","https://openalex.org/W3003695190","https://openalex.org/W4285265093","https://openalex.org/W2325200052","https://openalex.org/W1987441863","https://openalex.org/W4386436071","https://openalex.org/W2025404243","https://openalex.org/W159132833"],"abstract_inverted_index":{"This":[0],"article":[1],"describes":[2],"a":[3,123],"stochastic":[4,54,57],"framework":[5,119],"for":[6,42,108],"integrating":[7],"human":[8,39,85,97,127,137,148],"whole-body":[9,15,86,128],"motions":[10,16,87,98,129,138],"with":[11],"natural":[12,140],"language.":[13],"Human":[14],"in":[17,74],"daily":[18],"life":[19],"are":[20,34,51,81,93],"measured":[21],"by":[22,53,99],"inertial":[23],"measurement":[24],"units":[25],"(IMU)":[26],"and":[27,49,67,103,130],"subsequently":[28],"encoded":[29],"into":[30,88],"motion":[31,40,63],"primitives.":[32],"Sentences":[33],"manually":[35],"attached":[36],"to":[37,65,139,144],"the":[38,60,68,75,96,100,104,114],"primitives":[41,64],"their":[43,131],"descriptions.":[44],"Two":[45],"aspects":[46],"of":[47,62,113,126,136,147],"semantics":[48],"syntactics":[50],"represented":[52],"modules.":[55],"One":[56],"module":[58,70,106],"trains":[59],"linking":[61,135],"words,":[66],"other":[69],"represents":[71],"word":[72],"order":[73],"sentence":[76],"structure.":[77],"These":[78],"two":[79],"modules":[80],"helpful":[82],"toward":[83],"converting":[84],"descriptions,":[89],"where":[90],"multiple":[91],"words":[92],"generated":[94,115],"from":[95],"first":[101],"module,":[102],"second":[105],"searches":[107],"syntactically":[109],"consistent":[110],"sentences":[111],"consisting":[112],"words.":[116],"The":[117,134],"proposed":[118],"is":[120],"tested":[121],"on":[122],"large":[124],"dataset":[125],"descriptive":[132],"sentences.":[133,151],"language":[141],"enables":[142],"robots":[143],"understand":[145],"observations":[146],"behavior":[149],"as":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
