{"id":"https://openalex.org/W2943964448","doi":"https://doi.org/10.1109/access.2019.2915290","title":"IoT Assisted Kernel Linear Discriminant Analysis Based Gait Phase Detection Algorithm for Walking With Cognitive Tasks","display_name":"IoT Assisted Kernel Linear Discriminant Analysis Based Gait Phase Detection Algorithm for Walking With Cognitive Tasks","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2943964448","doi":"https://doi.org/10.1109/access.2019.2915290","mag":"2943964448"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2915290","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2915290","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08708273.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08708273.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100601530","display_name":"Fang Peng","orcid":"https://orcid.org/0000-0003-4743-7157"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang Peng","raw_affiliation_strings":["School of Automation Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101887307","display_name":"Wei Peng","orcid":"https://orcid.org/0000-0003-4513-8970"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Peng","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100439693","display_name":"Cheng Zhang","orcid":"https://orcid.org/0000-0003-2135-7546"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Cheng Zhang","raw_affiliation_strings":["Department of Computer Science and Communications Engineering, Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Communications Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044259137","display_name":"Debao Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Debao Zhong","raw_affiliation_strings":["University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan, China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100601530"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.3693,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.79184977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"68240","last_page":"68249"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9993000030517578,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9993000030517578,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.9860000014305115,"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/gait","display_name":"Gait","score":0.7395241856575012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7261163592338562},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.6133899092674255},{"id":"https://openalex.org/keywords/gait-analysis","display_name":"Gait analysis","score":0.5297982096672058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5193589925765991},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4475190043449402},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.43939071893692017},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39241254329681396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3624635338783264},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35008302330970764},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3298311233520508},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.12205612659454346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11378711462020874},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07408526539802551}],"concepts":[{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.7395241856575012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7261163592338562},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.6133899092674255},{"id":"https://openalex.org/C173906292","wikidata":"https://www.wikidata.org/wiki/Q1493441","display_name":"Gait analysis","level":3,"score":0.5297982096672058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5193589925765991},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4475190043449402},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.43939071893692017},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39241254329681396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3624635338783264},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35008302330970764},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3298311233520508},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.12205612659454346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11378711462020874},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07408526539802551},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2915290","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2915290","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08708273.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4a4caa681763462399d9fff900af2148","is_oa":true,"landing_page_url":"https://doaj.org/article/4a4caa681763462399d9fff900af2148","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 68240-68249 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2915290","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2915290","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08708273.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2943964448.pdf","grobid_xml":"https://content.openalex.org/works/W2943964448.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W133839518","https://openalex.org/W1534553241","https://openalex.org/W1973585667","https://openalex.org/W1985158854","https://openalex.org/W1988110563","https://openalex.org/W1998613822","https://openalex.org/W2008437881","https://openalex.org/W2044628302","https://openalex.org/W2057816579","https://openalex.org/W2059342086","https://openalex.org/W2061529781","https://openalex.org/W2063381621","https://openalex.org/W2067317338","https://openalex.org/W2069316794","https://openalex.org/W2081527823","https://openalex.org/W2089282851","https://openalex.org/W2093185395","https://openalex.org/W2110642688","https://openalex.org/W2110745482","https://openalex.org/W2112673535","https://openalex.org/W2134809575","https://openalex.org/W2144910137","https://openalex.org/W2150796457","https://openalex.org/W2151868458","https://openalex.org/W2169819436","https://openalex.org/W2240363574","https://openalex.org/W2321409658","https://openalex.org/W2508819249","https://openalex.org/W2548532227","https://openalex.org/W2593165376","https://openalex.org/W2615186466","https://openalex.org/W2727642783","https://openalex.org/W2755200181","https://openalex.org/W2786839822","https://openalex.org/W2811093959","https://openalex.org/W2891931318","https://openalex.org/W2905685817","https://openalex.org/W2913454702","https://openalex.org/W2952714963","https://openalex.org/W2963334314","https://openalex.org/W3104248904","https://openalex.org/W6684800219"],"related_works":["https://openalex.org/W2133973503","https://openalex.org/W2471060339","https://openalex.org/W2385081178","https://openalex.org/W2111603423","https://openalex.org/W2148547327","https://openalex.org/W2125892956","https://openalex.org/W4226236273","https://openalex.org/W2790560349","https://openalex.org/W2130975749","https://openalex.org/W2493973380"],"abstract_inverted_index":{"Gait":[0],"phase":[1,18,75,126,151],"detection":[2,19,76,127,152],"is":[3,46,57,77,89,104,145],"an":[4,121],"important":[5],"procedure":[6],"in":[7,79,85,133],"the":[8,44,52,73,87,113,134,139,149,158,165,184,187],"application":[9],"of":[10,54,136,141],"many":[11],"lower":[12],"limb":[13],"auxiliary":[14],"robots.":[15],"The":[16,172],"gait":[17,40,62,74,107,125,150],"algorithms":[20,56],"that":[21,183],"utilize":[22],"surface":[23],"electromyography":[24],"(sEMG)":[25],"signals":[26],"have":[27,174],"been":[28,175],"developed":[29],"to":[30,59,147,164,177],"overcome":[31],"unnatural":[32],"walking.":[33,137],"However,":[34],"traditional":[35,55],"studies":[36],"mostly":[37],"consider":[38],"precise":[39],"walking":[41,66,90,197],"events":[42],"when":[43,196],"subject":[45,88],"focusing":[47],"only":[48],"on":[49],"walking,":[50],"and":[51,82,190],"accuracy":[53],"susceptible":[58],"more":[60,80,194],"realistic":[61,81],"scenarios,":[63,84],"such":[64],"as":[65],"with":[67,168,198],"cognitive":[68,93,117,129,199],"tasks.":[69,94,200],"In":[70],"this":[71],"paper,":[72],"considered":[78],"challenging":[83],"which":[86,109],"while":[91,128],"performing":[92],"A":[95],"kernel":[96],"linear":[97],"discriminant":[98],"analysis":[99],"(LDA)-based":[100],"nonlinear":[101],"fusion":[102],"model":[103,123],"proposed":[105,180],"for":[106,124],"recognition,":[108],"can":[110],"effectively":[111],"reduce":[112,148],"error":[114],"caused":[115],"by":[116,156],"tasks,":[118],"making":[119],"it":[120],"ideal":[122],"tasks":[130],"are":[131,193],"performed":[132],"process":[135,154],"Furthermore,":[138],"Internet":[140],"Things":[142],"(IoT)":[143],"framework":[144],"incorporated":[146],"algorithm's":[153],"time":[155],"offloading":[157],"data":[159],"from":[160],"local":[161],"sEMG":[162],"sensors":[163],"IoT":[166],"server":[167],"powerful":[169],"computation":[170],"capability.":[171],"experiments":[173],"conducted":[176],"validate":[178],"our":[179],"algorithms,":[181],"demonstrating":[182],"boundaries":[185],"between":[186],"stance":[188],"period":[189,192],"swing":[191],"blurred":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
