{"id":"https://openalex.org/W2397324009","doi":"https://doi.org/10.1155/2016/7128201","title":"Daily Living Movement Recognition for Pedestrian Dead Reckoning Applications","display_name":"Daily Living Movement Recognition for Pedestrian Dead Reckoning Applications","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2397324009","doi":"https://doi.org/10.1155/2016/7128201","mag":"2397324009"},"language":"en","primary_location":{"id":"doi:10.1155/2016/7128201","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/7128201","pdf_url":"https://downloads.hindawi.com/journals/misy/2016/7128201.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/misy/2016/7128201.pdf","any_repository_has_fulltext":true},"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":true,"raw_author_name":"Alessio Martinelli","raw_affiliation_strings":["Information Engineering Department, University of Florence, 50139 Florence, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering Department, University of Florence, 50139 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":["Information Engineering Department, University of Florence, 50139 Florence, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering Department, University of Florence, 50139 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":["Information Engineering Department, University of Florence, 50139 Florence, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Engineering Department, University of Florence, 50139 Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038559848"],"corresponding_institution_ids":["https://openalex.org/I45084792"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.35,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63264615,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9990000128746033,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9962999820709229,"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":0.8105471730232239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7031455039978027},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6828017830848694},{"id":"https://openalex.org/keywords/dead-reckoning","display_name":"Dead reckoning","score":0.6747500896453857},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.6063284277915955},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5728765726089478},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.5351852774620056},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.46531417965888977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45838066935539246},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.45500752329826355},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4282497465610504},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4263136684894562},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.41287875175476074},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40125057101249695},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34136420488357544},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.1370396614074707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8105471730232239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7031455039978027},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6828017830848694},{"id":"https://openalex.org/C106165642","wikidata":"https://www.wikidata.org/wiki/Q152255","display_name":"Dead reckoning","level":3,"score":0.6747500896453857},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.6063284277915955},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5728765726089478},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.5351852774620056},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.46531417965888977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45838066935539246},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.45500752329826355},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4282497465610504},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4263136684894562},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.41287875175476074},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40125057101249695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34136420488357544},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.1370396614074707},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"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/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","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":3,"locations":[{"id":"doi:10.1155/2016/7128201","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/7128201","pdf_url":"https://downloads.hindawi.com/journals/misy/2016/7128201.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:flore.unifi.it:2158/1055691","is_oa":true,"landing_page_url":"http://hdl.handle.net/2158/1055691","pdf_url":"https://flore.unifi.it/bitstream/2158/1055691/1/Mobile%20Information%20Systems.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:9d38e63d86314ad0862732882d20b040","is_oa":true,"landing_page_url":"https://doaj.org/article/9d38e63d86314ad0862732882d20b040","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mobile Information Systems, Vol 2016 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2016/7128201","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/7128201","pdf_url":"https://downloads.hindawi.com/journals/misy/2016/7128201.pdf","source":{"id":"https://openalex.org/S152111507","display_name":"Mobile Information Systems","issn_l":"1574-017X","issn":["1574-017X","1875-905X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Mobile Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2397324009.pdf","grobid_xml":"https://content.openalex.org/works/W2397324009.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1613732946","https://openalex.org/W1979930226","https://openalex.org/W1999712889","https://openalex.org/W2025797281","https://openalex.org/W2029884854","https://openalex.org/W2050190741","https://openalex.org/W2056427752","https://openalex.org/W2069725995","https://openalex.org/W2085312727","https://openalex.org/W2085731903","https://openalex.org/W2099817569","https://openalex.org/W2116678161","https://openalex.org/W2124647600","https://openalex.org/W2125701040","https://openalex.org/W2127095067","https://openalex.org/W2132657063","https://openalex.org/W2149128480","https://openalex.org/W2163965192","https://openalex.org/W2189425273","https://openalex.org/W2202411278","https://openalex.org/W2207642662"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2009888974","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W3023105672","https://openalex.org/W2355539379","https://openalex.org/W4231410700","https://openalex.org/W4237770763","https://openalex.org/W2706752825"],"abstract_inverted_index":{"Nowadays,":[0],"activity":[1,15,32],"recognition":[2,33,72],"is":[3,34,86,163],"a":[4,62,68,82,117],"central":[5],"topic":[6],"in":[7,25,46,121],"numerous":[8],"applications":[9],"such":[10,107,127],"as":[11,88,108,128],"patient":[12],"and":[13,18,103,130,133,152,165],"sport":[14],"monitoring,":[16],"surveillance,":[17],"navigation.":[19],"By":[20],"focusing":[21],"on":[22,40],"the":[23,41,44,50,53,65,89,92,111,156,159,166],"latter,":[24],"particular":[26],"Pedestrian":[27,74],"Dead":[28,75],"Reckoning":[29,76],"navigation":[30,54],"systems,":[31],"generally":[35],"exploited":[36],"to":[37,48,60,64,91,101,116,123],"get":[38],"landmarks":[39],"map":[42],"of":[43,52,67,158],"buildings":[45],"order":[47,122],"permit":[49],"calibration":[51],"routines.":[55],"The":[56,78],"present":[57],"work":[58],"aims":[59],"provide":[61],"contribution":[63],"definition":[66],"more":[69],"effective":[70],"movement":[71,93],"for":[73],"applications.":[77],"signal":[79],"acquired":[80],"by":[81],"belt-mounted":[83],"triaxial":[84],"accelerometer":[85],"considered":[87,160],"input":[90],"segmentation":[94],"procedure":[95],"which":[96],"exploits":[97],"Continuous":[98],"Wavelet":[99],"Transform":[100],"detect":[102],"segment":[104],"cyclic":[105],"movements":[106,113],"walking.":[109],"Furthermore,":[110],"segmented":[112],"are":[114,142,170],"provided":[115],"supervised":[118,138],"learning":[119,139],"classifier":[120],"distinguish":[124],"between":[125],"activities":[126],"walking":[129,131],"downstairs":[132],"upstairs.":[134],"In":[135],"particular,":[136],"four":[137],"classification":[140,161],"families":[141],"tested:":[143],"decision":[144],"tree,":[145],"Support":[146],"Vector":[147],"Machine,<mml:math":[148],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[149],"id=\"M1\"><mml:mrow><mml:mi>k</mml:mi></mml:mrow></mml:math>-nearest":[150],"neighbour,":[151],"Ensemble":[153],"Learner.":[154],"Finally,":[155],"accuracy":[157],"models":[162],"evaluated":[164],"relative":[167],"confusion":[168],"matrices":[169],"presented.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-08T08:47:23.578185","created_date":"2025-10-10T00:00:00"}
