{"id":"https://openalex.org/W2189425273","doi":"https://doi.org/10.1109/ipin.2015.7346769","title":"Daily movement recognition for Dead Reckoning applications","display_name":"Daily movement recognition for Dead Reckoning applications","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2189425273","doi":"https://doi.org/10.1109/ipin.2015.7346769","mag":"2189425273"},"language":"en","primary_location":{"id":"doi:10.1109/ipin.2015.7346769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2015.7346769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","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/A5038559848","display_name":"Alessio Martinelli","orcid":"https://orcid.org/0000-0002-8509-5322"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessio Martinelli","raw_affiliation_strings":["Department of Information Engineering (DINFO), University of Florence, Florence, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering (DINFO), University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080330110","display_name":"Simone Morosi","orcid":"https://orcid.org/0000-0002-0145-8406"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Simone Morosi","raw_affiliation_strings":["Department of Information Engineering (DINFO), University of Florence, Florence, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering (DINFO), University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037127497","display_name":"E. Del Re","orcid":"https://orcid.org/0000-0002-4810-6571"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enrico Del Re","raw_affiliation_strings":["Department of Information Engineering (DINFO), University of Florence, Florence, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering (DINFO), University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5616,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75516031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9965999722480774,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9930999875068665,"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/computer-science","display_name":"Computer science","score":0.7600221037864685},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7038025856018066},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6544695496559143},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.6376869678497314},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6342529058456421},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5865716338157654},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5396774411201477},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.518142819404602},{"id":"https://openalex.org/keywords/dead-reckoning","display_name":"Dead reckoning","score":0.47308045625686646},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4612272083759308},{"id":"https://openalex.org/keywords/confusion-matrix","display_name":"Confusion matrix","score":0.4520260989665985},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.44605472683906555},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4110988676548004},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39577963948249817},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34091150760650635},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.13952478766441345},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08238312602043152}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7600221037864685},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7038025856018066},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6544695496559143},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.6376869678497314},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6342529058456421},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5865716338157654},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5396774411201477},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.518142819404602},{"id":"https://openalex.org/C106165642","wikidata":"https://www.wikidata.org/wiki/Q152255","display_name":"Dead reckoning","level":3,"score":0.47308045625686646},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4612272083759308},{"id":"https://openalex.org/C138602881","wikidata":"https://www.wikidata.org/wiki/Q2709591","display_name":"Confusion matrix","level":2,"score":0.4520260989665985},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.44605472683906555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4110988676548004},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39577963948249817},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34091150760650635},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.13952478766441345},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08238312602043152},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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":2,"locations":[{"id":"doi:10.1109/ipin.2015.7346769","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipin.2015.7346769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Indoor Positioning and Indoor Navigation (IPIN)","raw_type":"proceedings-article"},{"id":"pmh:oai:flore.unifi.it:2158/1008868","is_oa":false,"landing_page_url":"http://hdl.handle.net/2158/1008868","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1873332500","https://openalex.org/W1979930226","https://openalex.org/W1999712889","https://openalex.org/W2029884854","https://openalex.org/W2099817569","https://openalex.org/W2116678161","https://openalex.org/W2118521174","https://openalex.org/W2125701040","https://openalex.org/W2127095067","https://openalex.org/W2132657063","https://openalex.org/W2132984323","https://openalex.org/W2145343602","https://openalex.org/W2149128480","https://openalex.org/W2207642662","https://openalex.org/W6639175750","https://openalex.org/W6645266496","https://openalex.org/W6677571322"],"related_works":["https://openalex.org/W4313854500","https://openalex.org/W2571366690","https://openalex.org/W1991294548","https://openalex.org/W4245754245","https://openalex.org/W1997304167","https://openalex.org/W4224922629","https://openalex.org/W2551890981","https://openalex.org/W1985927271","https://openalex.org/W4361732610","https://openalex.org/W2099560956"],"abstract_inverted_index":{"In":[0,30],"the":[1,9,31,49,52,56,59,71,81,89,157,180,184,189,194,203,210,219,222],"last":[2],"years,":[3],"Activity":[4],"Recognition":[5],"(AR)":[6],"has":[7,40],"drawn":[8],"attention":[10],"of":[11,24,27,33,51,58,73,78,91,147,202,221],"many":[12],"researchers":[13],"in":[14,80],"several":[15],"fields":[16],"such":[17,104,114],"as":[18,105,115,145],"user":[19],"mobility":[20],"identification":[21],"and":[22,26,54,108,111,119,131,173,193],"monitoring":[23],"patients":[25],"daily":[28],"activities.":[29],"context":[32],"Dead":[34],"Reckoning":[35],"(DR)":[36],"navigation":[37],"systems,":[38],"AR":[39],"been":[41],"used":[42],"so":[43],"far":[44],"to":[45,70,98,133,228],"get":[46],"landmarks":[47],"on":[48,170,218],"map":[50],"buldings":[53],"permit":[55],"calibration":[57],"considered":[60,144,204],"routines.":[61],"The":[62,200],"present":[63],"work":[64],"aims":[65],"at":[66],"providing":[67],"a":[68,74,92,148,163],"contribution":[69],"definition":[72],"more":[75,226],"effective":[76],"recognition":[77,135],"movement":[79],"DR":[82],"applications.":[83],"To":[84],"this":[85],"aim":[86],"we":[87],"describe":[88],"implementation":[90],"Movement":[93],"Segmentation":[94],"procedure":[95],"which":[96,127,152,215],"permits":[97],"distinguish":[99],"between":[100],"posture":[101],"change":[102],"movements,":[103],"lying":[106],"down":[107],"standing":[109],"up,":[110],"cyclic":[112],"movements":[113,126,223],"walking,":[116],"walking":[117],"downstairs":[118],"upstair.":[120],"As":[121],"it":[122],"is":[123,168,207],"known,":[124],"these":[125],"are":[128,143,160,198,213,225],"very":[129],"similar":[130],"prone":[132],"critical":[134],"analysis,":[136],"can":[137],"often":[138],"be":[139,229],"misleaded;":[140],"therefore,":[141],"they":[142],"inputs":[146],"supervised":[149,175],"learning":[150,176],"technique":[151],"allows":[153],"their":[154],"classification.":[155],"Particularly,":[156],"acceleration":[158],"data":[159],"acquired":[161],"from":[162],"Motion":[164],"Node":[165],"sensor":[166],"that":[167,224],"worn":[169],"front":[171],"right-hip":[172],"four":[174],"classification":[177,205],"families,":[178],"namely":[179],"Decision":[181],"Tree":[182],"(DT),":[183],"Support":[185],"Vector":[186],"Machine":[187],"(SVM),":[188],"K-Nearest":[190],"Neighbor":[191],"(KNN)":[192],"Ensamble":[195],"Learner":[196],"(EL),":[197],"tested.":[199],"accuracy":[201],"models":[206],"evaluated;":[208],"particularly,":[209],"confusion":[211],"matrices":[212],"presented":[214],"shed":[216],"light":[217],"collection":[220],"likely":[227],"mixed":[230],"up.":[231]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-12T08:23:45.883708","created_date":"2025-10-10T00:00:00"}
