{"id":"https://openalex.org/W2952942579","doi":"https://doi.org/10.1145/3307334.3328667","title":"Gait Dependency of Smartphone Walking Speed Estimation using Deep Learning (poster)","display_name":"Gait Dependency of Smartphone Walking Speed Estimation using Deep Learning (poster)","publication_year":2019,"publication_date":"2019-06-12","ids":{"openalex":"https://openalex.org/W2952942579","doi":"https://doi.org/10.1145/3307334.3328667","mag":"2952942579"},"language":"en","primary_location":{"id":"doi:10.1145/3307334.3328667","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3307334.3328667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services","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/A5015357258","display_name":"T Yoshida","orcid":"https://orcid.org/0000-0002-7035-1960"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takuto Yoshida","raw_affiliation_strings":["Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032706314","display_name":"Junto Nozaki","orcid":null},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Junto Nozaki","raw_affiliation_strings":["Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044005499","display_name":"Kenta Urano","orcid":"https://orcid.org/0000-0003-2906-537X"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenta Urano","raw_affiliation_strings":["Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006030146","display_name":"Kei Hiroi","orcid":"https://orcid.org/0000-0002-6818-0701"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Hiroi","raw_affiliation_strings":["Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083114149","display_name":"Takuro Yonezawa","orcid":"https://orcid.org/0000-0001-9781-0402"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuro Yonezawa","raw_affiliation_strings":["Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045353484","display_name":"Nobuo Kawaguchi","orcid":"https://orcid.org/0000-0002-0444-2290"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuo Kawaguchi","raw_affiliation_strings":["Nagoya University, Nagoya, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Nagoya, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5015357258"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":1.4977,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81229438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"641","last_page":"642"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11500","display_name":"Evacuation and Crowd Dynamics","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T12740","display_name":"Gait Recognition and Analysis","score":0.9948999881744385,"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":0.9944000244140625,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.799583911895752},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.7396579384803772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6638326048851013},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6162632703781128},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.609674870967865},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6077873110771179},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.595288097858429},{"id":"https://openalex.org/keywords/dead-reckoning","display_name":"Dead reckoning","score":0.563637375831604},{"id":"https://openalex.org/keywords/stride","display_name":"STRIDE","score":0.5318448543548584},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.507403552532196},{"id":"https://openalex.org/keywords/preferred-walking-speed","display_name":"Preferred walking speed","score":0.4936448335647583},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.4848128855228424},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45418182015419006},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.43451356887817383},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32683223485946655},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.1466711163520813},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13644757866859436},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.08897683024406433}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.799583911895752},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.7396579384803772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6638326048851013},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6162632703781128},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.609674870967865},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6077873110771179},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.595288097858429},{"id":"https://openalex.org/C106165642","wikidata":"https://www.wikidata.org/wiki/Q152255","display_name":"Dead reckoning","level":3,"score":0.563637375831604},{"id":"https://openalex.org/C18007350","wikidata":"https://www.wikidata.org/wiki/Q7394815","display_name":"STRIDE","level":2,"score":0.5318448543548584},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.507403552532196},{"id":"https://openalex.org/C70770792","wikidata":"https://www.wikidata.org/wiki/Q7239848","display_name":"Preferred walking speed","level":2,"score":0.4936448335647583},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.4848128855228424},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45418182015419006},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.43451356887817383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32683223485946655},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.1466711163520813},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13644757866859436},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.08897683024406433},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems 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},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3307334.3328667","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3307334.3328667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2555624784","https://openalex.org/W2895879514"],"related_works":["https://openalex.org/W1889129279","https://openalex.org/W4387451989","https://openalex.org/W2347597433","https://openalex.org/W2156963144","https://openalex.org/W2794631200","https://openalex.org/W2582136274","https://openalex.org/W2471005005","https://openalex.org/W4379057334","https://openalex.org/W591021443","https://openalex.org/W2287760937"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2,61],"an":[3],"accurate":[4],"estimation":[5,47],"method":[6,83,97],"of":[7,25,35,45,75,81],"walking":[8,70],"speed":[9,22,46,71,101],"using":[10,28],"deep":[11,55,64],"learning":[12,65],"for":[13],"smartphone-based":[14],"Pedestrian":[15],"Dead":[16],"Reckoning":[17],"(PDR).PDR":[18],"requires":[19],"to":[20,40,62,68],"estimate":[21,69,99],"and":[23,30],"direction":[24],"pedestrians":[26],"accurately":[27],"accelerometer":[29],"gyroscope.To":[31],"improve":[32,41],"the":[33,42,57,79,100],"accuracy":[34,80],"PDR,":[36],"existing":[37],"works":[38],"focused":[39],"key":[43],"factors":[44],"(i.e.,":[48],"stride":[49],"and/or":[50],"step":[51],"estimation)":[52],"by":[53,84],"adapting":[54],"learning.On":[56],"contrary,":[58],"our":[59],"research":[60],"adapt":[63],"more":[66,102],"directly":[67],"from":[72],"sensor":[73],"data":[74],"smartphone.":[76],"We":[77],"evaluate":[78],"proposed":[82,96],"comparing":[85],"with":[86],"conventional":[87],"PDR":[88],"method.":[89],"As":[90],"a":[91],"result,":[92],"we":[93],"confirmed":[94],"that":[95],"can":[98],"accurately.":[103]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}