{"id":"https://openalex.org/W2341481601","doi":"https://doi.org/10.1109/percomw.2016.7457053","title":"Tree-structured classifier for acceleration-based activity and gesture recognition on smartwatches","display_name":"Tree-structured classifier for acceleration-based activity and gesture recognition on smartwatches","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2341481601","doi":"https://doi.org/10.1109/percomw.2016.7457053","mag":"2341481601"},"language":"en","primary_location":{"id":"doi:10.1109/percomw.2016.7457053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2016.7457053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/221920","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076601437","display_name":"Joseph Korpela","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Joseph Korpela","raw_affiliation_strings":["Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039456378","display_name":"Takuya Maekawa","orcid":"https://orcid.org/0000-0002-7227-580X"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuya Maekawa","raw_affiliation_strings":["Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036900688","display_name":"Julien Eberle","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Julien Eberle","raw_affiliation_strings":["Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007887893","display_name":"Dipanjan Chakraborty","orcid":"https://orcid.org/0000-0001-6202-2342"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Dipanjan Chakraborty","raw_affiliation_strings":["Ecole Polytechnique Federale de Lausanne"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole Polytechnique Federale de Lausanne","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001443156","display_name":"Karl Aberer","orcid":"https://orcid.org/0000-0003-3005-7342"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Karl Aberer","raw_affiliation_strings":["Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6761,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.76413573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9995999932289124,"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":0.9995999932289124,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9908000230789185,"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/dynamic-time-warping","display_name":"Dynamic time warping","score":0.8646458387374878},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.8276128768920898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8003221750259399},{"id":"https://openalex.org/keywords/smartwatch","display_name":"Smartwatch","score":0.7697950601577759},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.7107036113739014},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.698771059513092},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.6482532620429993},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6026374101638794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6008435487747192},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5955568552017212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5241313576698303},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.45425984263420105},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4248395562171936},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3888099789619446},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36121511459350586},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.33866578340530396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07414868474006653},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.06436577439308167}],"concepts":[{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.8646458387374878},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8276128768920898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003221750259399},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.7697950601577759},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.7107036113739014},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.698771059513092},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6482532620429993},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6026374101638794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6008435487747192},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5955568552017212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5241313576698303},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.45425984263420105},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4248395562171936},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3888099789619446},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36121511459350586},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.33866578340530396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07414868474006653},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.06436577439308167},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/percomw.2016.7457053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomw.2016.7457053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:infoscience.epfl.ch:221920","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/221920","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:221920","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/221920","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1504694836","https://openalex.org/W1537509622","https://openalex.org/W1570448133","https://openalex.org/W1833977909","https://openalex.org/W1982923598","https://openalex.org/W2051050593","https://openalex.org/W2073438437","https://openalex.org/W2085099861","https://openalex.org/W2105046342","https://openalex.org/W2112628161","https://openalex.org/W2115354719","https://openalex.org/W2125055259","https://openalex.org/W2128160875","https://openalex.org/W2128286222","https://openalex.org/W2143364815","https://openalex.org/W2163473481","https://openalex.org/W2170265372","https://openalex.org/W2911964244","https://openalex.org/W4230088311","https://openalex.org/W6675583992"],"related_works":["https://openalex.org/W2748818549","https://openalex.org/W4304142278","https://openalex.org/W2342865424","https://openalex.org/W2587509230","https://openalex.org/W4283331601","https://openalex.org/W2315394208","https://openalex.org/W72718568","https://openalex.org/W2318081358","https://openalex.org/W3097068272","https://openalex.org/W4210780304"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,18,61,146],"new":[4],"method":[5,83,126],"for":[6],"recognizing":[7],"both":[8,21,86,129],"activities":[9,74,87,130],"and":[10,25,49,88,103,131],"gestures":[11,89,132],"by":[12,94,141],"using":[13,60],"acceleration":[14,30],"data":[15,48,122],"collected":[16],"on":[17,117],"smartwatch.":[19],"While":[20],"activity":[22,46],"recognition":[23,27,59],"techniques":[24,28,33],"gesture":[26,50],"employ":[29],"data,":[31],"these":[32],"are":[34,69,107],"studied":[35],"independently":[36],"due":[37],"to":[38,72,109],"the":[39,43,97],"large":[40],"difference":[41],"between":[42],"characteristics":[44],"of":[45,100,120],"sensor":[47,51,121],"data.":[52],"In":[53],"this":[54],"study,":[55],"we":[56],"combine":[57],"their":[58],"tree":[62],"structured":[63],"classifier":[64],"that":[65,68,106,124],"combines":[66],"features":[67],"widely":[70],"used":[71],"recognize":[73,85,110,128],"with":[75,90,134,145],"dynamic":[76],"time":[77],"warping-based":[78],"k-nearest":[79],"neighbor":[80],"classifiers.":[81],"Our":[82],"can":[84,127],"low":[91],"computational":[92],"cost":[93],"executing":[95],"only":[96],"minimal":[98],"set":[99],"feature":[101],"extraction":[102],"classification":[104],"processes":[105],"required":[108],"an":[111],"input":[112],"sensor-data":[113],"segment.":[114],"An":[115],"experiment":[116],"30":[118],"sessions":[119],"shows":[123],"our":[125],"simultaneously":[133],"95.8%":[135],"accuracy":[136],"while":[137],"reducing":[138],"computation":[139],"costs":[140],"97.3%":[142],"when":[143],"compared":[144],"baseline":[147],"method.":[148]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}