{"id":"https://openalex.org/W2226178156","doi":null,"title":"Passive In-home Estimation of Gait Velocity From Motion Sensors.","display_name":"Passive In-home Estimation of Gait Velocity From Motion Sensors.","publication_year":2013,"publication_date":"2013-10-18","ids":{"openalex":"https://openalex.org/W2226178156","mag":"2226178156"},"language":"en","primary_location":{"id":"mag:2226178156","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1310.4880v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1310.4880v1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080929578","display_name":"Rajib Kumar Rana","orcid":"https://orcid.org/0000-0002-0506-2409","observed_orcids":["https://orcid.org/0000-0002-0506-2409"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rajib Rana","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-0506-2409","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059290753","display_name":"Daniel Austin","orcid":"https://orcid.org/0000-0002-3248-5503","observed_orcids":["https://orcid.org/0000-0002-3248-5503"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Austin","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3248-5503","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050851035","display_name":"Peter G. Jacobs","orcid":"https://orcid.org/0000-0001-9897-4783","observed_orcids":["https://orcid.org/0000-0001-9897-4783"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter G. Jacobs","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-9897-4783","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018449160","display_name":"Mohan Karunanithi","orcid":"https://orcid.org/0000-0002-9141-932X","observed_orcids":["https://orcid.org/0000-0002-9141-932X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohan Karunanithi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5040631126","display_name":"Jeffrey Alan Kaye","orcid":"https://orcid.org/0000-0002-9971-3478","observed_orcids":["https://orcid.org/0000-0002-9971-3478"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeffrey Kaye","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9971-3478","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.5907999873161316,"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":0.5907999873161316,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.26809999346733093,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.11339999735355377,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/walking-speed","display_name":"walking speed","score":0.8519999980926514},{"id":"https://openalex.org/keywords/passive-infrared-motion-sensors","display_name":"passive infrared motion sensor","score":0.6190000176429749},{"id":"https://openalex.org/keywords/transition-time","display_name":"transition time","score":0.7300000190734863},{"id":"https://openalex.org/keywords/home-monitoring","display_name":"home monitoring","score":0.7450000047683716},{"id":"https://openalex.org/keywords/support-vector-regression","display_name":"support vector regression","score":0.8730000257492065},{"id":"https://openalex.org/keywords/elderly-monitoring","display_name":"elderly monitoring","score":0.7950000166893005},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"gait analysis","score":0.5239999890327454},{"id":"https://openalex.org/keywords/home-based-assessment","display_name":"home-based assessment","score":0.3499999940395355}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.8147362470626831},{"id":"https://openalex.org/C20220851","wikidata":"https://www.wikidata.org/wiki/Q18206750","display_name":"Effect of gait parameters on energetic cost","level":4,"score":0.5293073654174805},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5027568340301514},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.48294323682785034},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43989866971969604},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4207906424999237},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.35940808057785034},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.35434162616729736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30334895849227905},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.200423926115036},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1985538899898529},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2226178156","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1310.4880v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null}],"best_oa_location":{"id":"mag:2226178156","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1310.4880v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8199999928474426,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W20929342","https://openalex.org/W1486032711","https://openalex.org/W1599486179","https://openalex.org/W1666494805","https://openalex.org/W1968630667","https://openalex.org/W1975291371","https://openalex.org/W1977116633","https://openalex.org/W1979317856","https://openalex.org/W1987354253","https://openalex.org/W1991306625","https://openalex.org/W2008813344","https://openalex.org/W2030482433","https://openalex.org/W2041300338","https://openalex.org/W2056542448","https://openalex.org/W2063074845","https://openalex.org/W2089918267","https://openalex.org/W2102282908","https://openalex.org/W2112370270","https://openalex.org/W2119958965","https://openalex.org/W2120728836","https://openalex.org/W2121159265","https://openalex.org/W2121895804","https://openalex.org/W2131308775","https://openalex.org/W2137226992","https://openalex.org/W2148836549","https://openalex.org/W2153635508","https://openalex.org/W2155579822","https://openalex.org/W2156909104","https://openalex.org/W2159296038","https://openalex.org/W2161574907","https://openalex.org/W2161920802","https://openalex.org/W2161938769","https://openalex.org/W2162959968","https://openalex.org/W4248173958"],"related_works":["https://openalex.org/W7099600649","https://openalex.org/W2142401421","https://openalex.org/W1556530036","https://openalex.org/W1980267938","https://openalex.org/W2121895804","https://openalex.org/W2270075880","https://openalex.org/W4206432060","https://openalex.org/W2895794393","https://openalex.org/W2114522926","https://openalex.org/W107044854"],"abstract_inverted_index":{"Gait":[0,20],"velocity":[1,21,192],"has":[2,122,161],"been":[3],"consistently":[4],"shown":[5],"to":[6,57,66,83,94,171,179],"be":[7],"an":[8,123],"important":[9],"indicator":[10],"and":[11,31,101,147,157,160],"predictor":[12],"of":[13,38,126,190],"health":[14,40],"status,":[15],"especially":[16],"in":[17,61,78,143],"elderly":[18],"populations.":[19],"is":[22,155],"often":[23],"assessed":[24],"clinically,":[25],"but":[26],"clinical":[27,150],"assessments":[28],"occur":[29],"infrequently":[30],"thus":[32],"do":[33],"not":[34,168],"allow":[35],"optimal":[36],"detection":[37],"key":[39],"changes":[41],"when":[42],"they":[43],"occur.":[44],"In":[45,114],"this":[46,183],"paper,":[47],"we":[48,105,108,116],"propose":[49],"using":[50,88,129],"the":[51,96,119],"time":[52],"it":[53],"takes":[54],"a":[55,79,89,133,149,173],"person":[56],"move":[58],"between":[59,98],"rooms":[60],"their":[62,144],"home":[63,82],"-":[64,70],"referred":[65],"as":[67,167],"'transition":[68],"times'":[69],"estimated":[71],"from":[72,137],"passive":[73],"infrared":[74],"motion":[75],"sensors":[76,178],"installed":[77],"patients":[80,170],"own":[81,145],"predict":[84,110],"gait":[85,103,191],"velocity.":[86],"By":[87],"support":[90],"vector":[91],"regression":[92],"approach":[93,121],"model":[95],"relationship":[97],"transition":[99],"times":[100],"observed":[102],"velocities,":[104],"show":[106],"that":[107,118],"can":[109],"unobserved":[111],"velocities":[112],"accurately.":[113],"particular,":[115],"demonstrate":[117],"proposed":[120,153],"average":[124],"error":[125],"4":[127],"cm/sec":[128],"data":[130],"collected":[131],"over":[132,163],"5":[134],"year":[135],"period":[136],"76":[138],"study":[139],"participants":[140],"monitored":[141],"both":[142],"homes":[146],"within":[148],"setting.":[151],"The":[152],"method":[154,184],"simple":[156],"cost":[158],"effective,":[159],"advantages":[162],"competing":[164],"approaches":[165],"such":[166],"requiring":[169],"wear":[172],"device":[174],"or":[175],"needing":[176],"dedicated":[177],"measure":[180],"gait.":[181],"Furthermore,":[182],"provides":[185],"substantially":[186],"more":[187],"frequent":[188],"estimates":[189],"than":[193],"are":[194],"provided":[195],"by":[196],"other":[197],"approaches.":[198]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
