{"id":"https://openalex.org/W4205932285","doi":"https://doi.org/10.1109/m2vip49856.2021.9665024","title":"Incrementally Classifying Different Walking Activities Based on Wearable Sensors","display_name":"Incrementally Classifying Different Walking Activities Based on Wearable Sensors","publication_year":2021,"publication_date":"2021-11-26","ids":{"openalex":"https://openalex.org/W4205932285","doi":"https://doi.org/10.1109/m2vip49856.2021.9665024"},"language":"en","primary_location":{"id":"doi:10.1109/m2vip49856.2021.9665024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip49856.2021.9665024","pdf_url":null,"source":{"id":"https://openalex.org/S4363608277","display_name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","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/A5100413429","display_name":"Xiuhua Liu","orcid":"https://orcid.org/0000-0001-7674-8494"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiuhua Liu","raw_affiliation_strings":["Beijing Engineering Research Center of Intelligent Rehabilitation Engineering, Beijing, China","Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Intelligent Rehabilitation Engineering, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025723618","display_name":"Qining Wang","orcid":"https://orcid.org/0000-0003-3484-4810"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qining Wang","raw_affiliation_strings":["Beijing Engineering Research Center of Intelligent Rehabilitation Engineering, Beijing, China","Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Intelligent Rehabilitation Engineering, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100413429"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.7688,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66248078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"699","last_page":"704"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11023","display_name":"Prosthetics and Rehabilitation Robotics","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/T11023","display_name":"Prosthetics and Rehabilitation Robotics","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/T10784","display_name":"Muscle activation and electromyography studies","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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.643887996673584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6425803303718567},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.6126174926757812},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5804586410522461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.551935076713562},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5248159170150757},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4949795603752136},{"id":"https://openalex.org/keywords/preferred-walking-speed","display_name":"Preferred walking speed","score":0.45568278431892395},{"id":"https://openalex.org/keywords/units-of-measurement","display_name":"Units of measurement","score":0.45001286268234253},{"id":"https://openalex.org/keywords/gait","display_name":"Gait","score":0.42481252551078796},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37711048126220703},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34278830885887146},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.2671513855457306}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.643887996673584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6425803303718567},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.6126174926757812},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5804586410522461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.551935076713562},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5248159170150757},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4949795603752136},{"id":"https://openalex.org/C70770792","wikidata":"https://www.wikidata.org/wiki/Q7239848","display_name":"Preferred walking speed","level":2,"score":0.45568278431892395},{"id":"https://openalex.org/C151233233","wikidata":"https://www.wikidata.org/wiki/Q47574","display_name":"Units of measurement","level":2,"score":0.45001286268234253},{"id":"https://openalex.org/C151800584","wikidata":"https://www.wikidata.org/wiki/Q2370000","display_name":"Gait","level":2,"score":0.42481252551078796},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37711048126220703},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34278830885887146},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.2671513855457306},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded 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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/m2vip49856.2021.9665024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/m2vip49856.2021.9665024","pdf_url":null,"source":{"id":"https://openalex.org/S4363608277","display_name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1968259359","https://openalex.org/W1973585667","https://openalex.org/W1978248151","https://openalex.org/W1978332670","https://openalex.org/W1985158854","https://openalex.org/W2106951868","https://openalex.org/W2142114107","https://openalex.org/W2167221577","https://openalex.org/W2267727210","https://openalex.org/W2495774670","https://openalex.org/W2528234100","https://openalex.org/W2677572839","https://openalex.org/W2791820053","https://openalex.org/W2890648518","https://openalex.org/W2953511578"],"related_works":["https://openalex.org/W1967422967","https://openalex.org/W3016838864","https://openalex.org/W2766841671","https://openalex.org/W2029881158","https://openalex.org/W3196140453","https://openalex.org/W2978426962","https://openalex.org/W3044242125","https://openalex.org/W2768468910","https://openalex.org/W2037990170","https://openalex.org/W2999148748"],"abstract_inverted_index":{"Walking":[0],"environment":[1],"changes":[2],"in":[3,110],"daily":[4],"life,":[5],"and":[6,38,56,67,113,139],"the":[7,36,41,64,71,82,88,114,127,131,143,146],"classification":[8,94],"system":[9],"should":[10],"be":[11],"able":[12],"to":[13,15,62],"adapt":[14],"different":[16,29],"walking":[17,30,75,84,98,111],"activities.":[18],"In":[19,125],"this":[20],"sense,":[21],"a":[22],"class":[23,133,156],"incremental":[24,134,155],"learning":[25,135],"method":[26,136,149],"for":[27,96,122],"classifying":[28],"activities":[31,76],"is":[32,86,100,119,137],"proposed.":[33],"To":[34],"demonstrate":[35],"effectiveness":[37],"performance":[39,129,144],"of":[40,70,130,145,154],"proposed":[42,132],"method,":[43],"experiments":[44],"are":[45,60,79,90,151],"conducted":[46],"with":[47],"three":[48],"healthy":[49],"subjects.":[50,124],"Two":[51],"inertial":[52],"measurement":[53],"units":[54],"(IMUs)":[55],"one":[57],"pressure":[58,69],"insole":[59],"used":[61],"collect":[63],"kinetic":[65],"information":[66],"foot":[68],"subject,":[72],"respectively.":[73],"Three":[74],"(six":[77],"situations":[78],"included":[80],"when":[81],"first":[83],"activity":[85,99],"not":[87,152],"same)":[89],"considered.":[91],"The":[92],"mean":[93,116],"accuracy":[95],"each":[97],"more":[101],"than":[102,142],"93.5%":[103],"at":[104],"all":[105,123],"situations.":[106],"Recognition":[107],"delay":[108,117],"exists":[109],"transition":[112],"largest":[115],"time":[118],"550":[120],"ms":[121],"addition,":[126],"recognition":[128,148],"competitive":[138],"even":[140],"better":[141],"existed":[147],"that":[150],"capable":[153],"learning.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}