{"id":"https://openalex.org/W4410428445","doi":"https://doi.org/10.1109/icst62759.2024.10992063","title":"Gait Phase Identification using Wearable Sensors for Physiotherapy Assistance","display_name":"Gait Phase Identification using Wearable Sensors for Physiotherapy Assistance","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4410428445","doi":"https://doi.org/10.1109/icst62759.2024.10992063"},"language":"en","primary_location":{"id":"doi:10.1109/icst62759.2024.10992063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icst62759.2024.10992063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Conference on Sensing Technology (ICST)","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/A5117567461","display_name":"Rufyid-u-Nissa","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]},{"id":"https://openalex.org/I2802772015","display_name":"IITB-Monash Research Academy","ror":"https://ror.org/02r3nf527","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531","https://openalex.org/I2802772015","https://openalex.org/I56590836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rufyid-u-Nissa","raw_affiliation_strings":["IITB-Monash Research Academy, Indian Institute of Technology Bombay,Mumbai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IITB-Monash Research Academy, Indian Institute of Technology Bombay,Mumbai,India","institution_ids":["https://openalex.org/I2802772015","https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mohin Shaikh","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mohin Shaikh","raw_affiliation_strings":["Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070630767","display_name":"Nemai Chandra Karmakar","orcid":"https://orcid.org/0000-0002-6395-3840"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nemai Karmakar","raw_affiliation_strings":["Monash University,Dept. of Electrical and Computers System Eng.,Melbourne,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash University,Dept. of Electrical and Computers System Eng.,Melbourne,Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029767607","display_name":"Maryam Shojaei Baghini","orcid":"https://orcid.org/0000-0001-6568-3736"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Maryam Shojaei Baghini","raw_affiliation_strings":["Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Bombay,Department of Electrical Engineering,Mumbai,India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24278765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9194999933242798,"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/wearable-computer","display_name":"Wearable computer","score":0.8150570392608643},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.6731690168380737},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5977035164833069},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.5765710473060608},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.5674158334732056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.549960732460022},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.43485569953918457},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1627386212348938},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.11811462044715881}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.8150570392608643},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.6731690168380737},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5977035164833069},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.5765710473060608},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.5674158334732056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.549960732460022},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.43485569953918457},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1627386212348938},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.11811462044715881},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icst62759.2024.10992063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icst62759.2024.10992063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Conference on Sensing Technology (ICST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320971","display_name":"Monash University","ror":"https://ror.org/02bfwt286"},{"id":"https://openalex.org/F4320326656","display_name":"Department of Biotechnology, Government of West Bengal","ror":null},{"id":"https://openalex.org/F4320336048","display_name":"IITB-Monash Research Academy","ror":"https://ror.org/02r3nf527"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W73365015","https://openalex.org/W2024480775","https://openalex.org/W3154710845","https://openalex.org/W4290714337","https://openalex.org/W4292072108","https://openalex.org/W4319298151","https://openalex.org/W4366147372","https://openalex.org/W4382813647","https://openalex.org/W4388232305","https://openalex.org/W4396753616"],"related_works":["https://openalex.org/W2133973503","https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2471060339","https://openalex.org/W2566526749","https://openalex.org/W4226182457","https://openalex.org/W2148547327","https://openalex.org/W2158764002"],"abstract_inverted_index":{"Real-time,":[0],"unobtrusive":[1],"identification":[2,14,22],"of":[3,15,72,120],"gait":[4,20,46,78,107,137],"phases":[5,47,91],"is":[6],"essential":[7],"for":[8,87],"effective":[9],"gait-related":[10],"therapy":[11],"and":[12,26,63,83,109,117,124,144],"early":[13],"neurological":[16],"conditions.":[17],"Long-term,":[18],"real-world":[19],"phase":[21,138],"requires":[23],"on-device":[24],"sensing":[25,42],"computation,":[27],"achievable":[28],"through":[29],"wearable":[30],"technologies":[31],"that":[32,158],"integrate":[33],"sensors":[34,62],"with":[35,149],"microcontrollers.":[36],"This":[37],"study":[38],"proposes":[39],"a":[40,49],"multi-modal":[41],"approach":[43],"to":[44,67],"identify":[45],"using":[48],"one-dimensional":[50],"convolutional":[51],"neural":[52,164],"network":[53],"(1D-CNN).":[54],"We":[55],"gathered":[56,76],"data":[57,79,108],"from":[58],"both":[59],"plantar":[60],"pressure":[61],"an":[64],"inertial":[65],"sensor":[66],"accurately":[68],"capture":[69,159],"the":[70,88,96,146,150],"complexities":[71],"human":[73],"movement.":[74],"The":[75,100,127],"multi-sensor":[77],"were":[80,92],"processed":[81],"offline":[82],"prepared":[84],"as":[85,167],"input":[86],"1D-CNN.":[89],"Gait":[90],"labeled":[93],"by":[94],"analyzing":[95],"periodic":[97],"signal":[98],"waveforms.":[99],"1D-CNN":[101],"model":[102],"was":[103,129],"trained":[104],"on":[105,156],"sequential":[106],"demonstrated":[110],"high":[111],"performance,":[112],"achieving":[113],"accuracy,":[114],"precision,":[115],"specificity,":[116],"F1":[118],"scores":[119],"97.07%,":[121],"96.70%,":[122],"98.90%,":[123],"96.80%,":[125],"respectively.":[126],"method":[128],"validated":[130],"in":[131,136],"real-time,":[132],"showing":[133],"rapid":[134],"response":[135],"identification.":[139],"To":[140],"enhance":[141],"sequence":[142],"learning":[143],"address":[145],"misclassifications":[147],"observed":[148],"1D-CNN,":[151],"subsequent":[152],"investigations":[153],"will":[154],"focus":[155],"models":[157],"long-term":[160],"dependencies,":[161],"including":[162],"recurrent":[163],"networks":[165],"such":[166],"long":[168],"short-term":[169],"memory.":[170]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}