{"id":"https://openalex.org/W4392157987","doi":"https://doi.org/10.1109/globecom54140.2023.10437695","title":"Feet Pressure Prediction from Lower Limbs IMU Sensors for Wearable Systems in Remote Monitoring Architectures","display_name":"Feet Pressure Prediction from Lower Limbs IMU Sensors for Wearable Systems in Remote Monitoring Architectures","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4392157987","doi":"https://doi.org/10.1109/globecom54140.2023.10437695"},"language":"en","primary_location":{"id":"doi:10.1109/globecom54140.2023.10437695","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/globecom54140.2023.10437695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","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/A5055392194","display_name":"Igor Bisio","orcid":"https://orcid.org/0000-0003-3198-7306"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Igor Bisio","raw_affiliation_strings":["University of Genoa,DITEN Department,Italy","DITEN Department, University of Genoa, Italy","RAISE Ecosystem, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genoa,DITEN Department,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN Department, University of Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"RAISE Ecosystem, Genova, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045825361","display_name":"Chiara Garibotto","orcid":"https://orcid.org/0000-0002-6107-2484"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chiara Garibotto","raw_affiliation_strings":["University of Genoa,DITEN Department,Italy","RAISE Ecosystem, Genova, Italy","DITEN Department, University of Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genoa,DITEN Department,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"RAISE Ecosystem, Genova, Italy","institution_ids":[]},{"raw_affiliation_string":"DITEN Department, University of Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069126784","display_name":"Fabio Lavagetto","orcid":"https://orcid.org/0000-0003-3692-4021"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Lavagetto","raw_affiliation_strings":["University of Genoa,DITEN Department,Italy","DITEN Department, University of Genoa, Italy","RAISE Ecosystem, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genoa,DITEN Department,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN Department, University of Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"RAISE Ecosystem, Genova, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075523693","display_name":"Muhammad Shahid","orcid":"https://orcid.org/0000-0002-4573-0379"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Muhammad Shahid","raw_affiliation_strings":["University of Genoa,DITEN Department,Italy","DITEN Department, University of Genoa, Italy","RAISE Ecosystem, Genova, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genoa,DITEN Department,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN Department, University of Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"RAISE Ecosystem, Genova, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055392194"],"corresponding_institution_ids":["https://openalex.org/I83816512"],"apc_list":null,"apc_paid":null,"fwci":0.3516,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68806003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"492","last_page":"497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9467999935150146,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9467999935150146,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T14304","display_name":"Transport Systems and Technology","score":0.9363999962806702,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10812","display_name":"Human Pose and Action Recognition","score":0.9262999892234802,"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/wearable-computer","display_name":"Wearable computer","score":0.7986714839935303},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.7885855436325073},{"id":"https://openalex.org/keywords/pressure-sensor","display_name":"Pressure sensor","score":0.5915573239326477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5831430554389954},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4609437882900238},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3705999255180359},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34349292516708374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2821890711784363},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2550949454307556},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23767876625061035},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18559566140174866}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7986714839935303},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.7885855436325073},{"id":"https://openalex.org/C41325743","wikidata":"https://www.wikidata.org/wiki/Q1261040","display_name":"Pressure sensor","level":2,"score":0.5915573239326477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5831430554389954},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4609437882900238},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3705999255180359},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34349292516708374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2821890711784363},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2550949454307556},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23767876625061035},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18559566140174866},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/globecom54140.2023.10437695","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/globecom54140.2023.10437695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unige.it:11567/1186401","is_oa":false,"landing_page_url":"https://hdl.handle.net/11567/1186401","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7799999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1967696752","https://openalex.org/W1985741088","https://openalex.org/W1992274365","https://openalex.org/W2056703454","https://openalex.org/W2089996359","https://openalex.org/W2119412403","https://openalex.org/W2498490541","https://openalex.org/W2501846932","https://openalex.org/W2767647389","https://openalex.org/W2792764867","https://openalex.org/W2997454486","https://openalex.org/W3007904747","https://openalex.org/W3041098345","https://openalex.org/W3201478112","https://openalex.org/W4315606051","https://openalex.org/W4321367639","https://openalex.org/W6749825310"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2566526749","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W4312415459","https://openalex.org/W2528680939"],"abstract_inverted_index":{"The":[0,21,170],"eHealth":[1,102],"systems":[2,41,48],"are":[3,73],"in":[4,54,65,76,92,158],"great":[5],"demand,":[6],"particularly":[7],"during":[8],"times":[9],"of":[10,19,31,100,134],"outbreak":[11],"like":[12],"COVID-19,":[13],"when":[14],"there":[15],"is":[16,156,172],"a":[17,51],"shortage":[18],"caregivers.":[20],"technological":[22],"advancements,":[23],"such":[24],"as":[25],"wearable":[26],"wireless":[27],"devices,":[28,145],"the":[29,85,96,107,119,127,132,141,165],"Internet":[30],"Things,":[32],"and":[33,62,71,89,98,178],"improved":[34],"machine":[35,135],"learning":[36],"methods":[37],"have":[38,58],"made":[39],"these":[40,47],"more":[42],"reliable.":[43],"In":[44,80],"modern":[45],"times,":[46],"can":[49],"play":[50],"vital":[52],"role":[53],"post-rehabilitation":[55],"journeys,":[56],"which":[57],"significant":[59],"social":[60],"impact":[61],"high":[63],"costs":[64],"traditional":[66],"settings.":[67],"Cost":[68],"efficiency,":[69],"portability,":[70],"generalization":[72],"key":[74],"factors":[75],"adopting":[77],"new":[78],"technology.":[79],"this":[81],"study,":[82],"we":[83],"investigate":[84],"potential":[86,133],"for":[87,121,146,167],"optimizing":[88],"simplifying":[90],"hardware":[91],"order":[93],"to":[94,117,130],"increase":[95],"cost-effectiveness":[97],"versatility":[99],"post-stroke":[101],"rehabilitation":[103],"systems.":[104],"It":[105],"leverages":[106],"rich":[108],"information":[109],"available":[110],"from":[111],"Inertial":[112],"Measurement":[113],"Unit":[114],"(IMU)":[115],"sensors":[116],"compensate":[118],"need":[120,166],"foot":[122,147,152],"pressure":[123,148,153],"sensing.":[124],"We":[125],"present":[126],"first":[128],"attempt":[129],"demonstrate":[131],"learning,":[136],"aided":[137],"by":[138],"affordable":[139],"off":[140],"shelf":[142],"motion":[143],"sensing":[144],"analysis.":[149],"Our":[150],"proposed":[151],"decoding":[154],"model":[155],"trained":[157],"an":[159],"exercise-agnostic,":[160],"self-supervised":[161],"manner":[162],"that":[163],"eliminates":[164],"human":[168],"annotation.":[169],"algorithm":[171],"evaluated":[173],"using":[174],"appropriate":[175],"performance":[176],"metrics,":[177],"our":[179],"experimental":[180],"results":[181],"show":[182],"very":[183],"promising":[184],"performance.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}