{"id":"https://openalex.org/W3159756309","doi":"https://doi.org/10.1109/access.2021.3077764","title":"Baseline Model Training in Sensor-Based Human Activity Recognition: An Incremental Learning Approach","display_name":"Baseline Model Training in Sensor-Based Human Activity Recognition: An Incremental Learning Approach","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3159756309","doi":"https://doi.org/10.1109/access.2021.3077764","mag":"3159756309"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3077764","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3077764","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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://doi.org/10.1109/access.2021.3077764","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101911509","display_name":"Jianyu Xiao","orcid":"https://orcid.org/0000-0002-4896-4285"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyu Xiao","raw_affiliation_strings":["National-Local Joint Engineering Research Center of Navigation and Location Services, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-4896-4285","affiliations":[{"raw_affiliation_string":"National-Local Joint Engineering Research Center of Navigation and Location Services, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327244","display_name":"Linlin Chen","orcid":"https://orcid.org/0000-0002-3173-2859"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linlin Chen","raw_affiliation_strings":["National-Local Joint Engineering Research Center of Navigation and Location Services, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National-Local Joint Engineering Research Center of Navigation and Location Services, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100627248","display_name":"Haipeng Chen","orcid":"https://orcid.org/0000-0002-9410-4120"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haipeng Chen","raw_affiliation_strings":["National-Local Joint Engineering Research Center of Navigation and Location Services, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National-Local Joint Engineering Research Center of Navigation and Location Services, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065663697","display_name":"Xuemin Hong","orcid":"https://orcid.org/0000-0001-6537-5653"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuemin Hong","raw_affiliation_strings":["National-Local Joint Engineering Research Center of Navigation and Location Services, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0001-6537-5653","affiliations":[{"raw_affiliation_string":"National-Local Joint Engineering Research Center of Navigation and Location Services, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.6595,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69909844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"70261","last_page":"70272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9997000098228455,"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":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.98089998960495,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.8704252243041992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7914661765098572},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.701324462890625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6471168398857117},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6151241660118103},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5913904905319214},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5091661810874939},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4819464683532715},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4500300884246826},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.412930965423584}],"concepts":[{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.8704252243041992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7914661765098572},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.701324462890625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6471168398857117},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6151241660118103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5913904905319214},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5091661810874939},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4819464683532715},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4500300884246826},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.412930965423584},{"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3077764","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3077764","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e5c2dfbf735e44388fff058680196d6b","is_oa":true,"landing_page_url":"https://doaj.org/article/e5c2dfbf735e44388fff058680196d6b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"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 9, Pp 70261-70272 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3077764","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3077764","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2702878874","display_name":null,"funder_award_id":"62077040","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3630812999","display_name":null,"funder_award_id":"2018HZ0002-1","funder_id":"https://openalex.org/F4320323190","funder_display_name":"Fujian Provincial Department of Science and Technology"},{"id":"https://openalex.org/G7822264012","display_name":null,"funder_award_id":"2019HZ020009","funder_id":"https://openalex.org/F4320323190","funder_display_name":"Fujian Provincial Department of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323190","display_name":"Fujian Provincial Department of Science and Technology","ror":"https://ror.org/00rgzpv08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W1613249581","https://openalex.org/W1968142161","https://openalex.org/W1975428667","https://openalex.org/W1996640396","https://openalex.org/W2010997748","https://openalex.org/W2017634428","https://openalex.org/W2040181375","https://openalex.org/W2047028564","https://openalex.org/W2054780155","https://openalex.org/W2058963220","https://openalex.org/W2083440971","https://openalex.org/W2164943005","https://openalex.org/W2285292066","https://openalex.org/W2288074780","https://openalex.org/W2473781013","https://openalex.org/W2566130292","https://openalex.org/W2589032543","https://openalex.org/W2592284297","https://openalex.org/W2602008317","https://openalex.org/W2735987329","https://openalex.org/W2736191430","https://openalex.org/W2738226240","https://openalex.org/W2749455101","https://openalex.org/W2759690896","https://openalex.org/W2765811365","https://openalex.org/W2772455222","https://openalex.org/W2783047733","https://openalex.org/W2791827527","https://openalex.org/W2794045421","https://openalex.org/W2795342689","https://openalex.org/W2841493617","https://openalex.org/W2868310449","https://openalex.org/W2883554196","https://openalex.org/W2887997457","https://openalex.org/W2906031885","https://openalex.org/W2918629098","https://openalex.org/W2940096514","https://openalex.org/W2944924536","https://openalex.org/W2948012107","https://openalex.org/W2951095886","https://openalex.org/W2951873722","https://openalex.org/W2954709787","https://openalex.org/W2954996726","https://openalex.org/W2971040589","https://openalex.org/W2971155163","https://openalex.org/W2972567486","https://openalex.org/W3044326989","https://openalex.org/W3138794164","https://openalex.org/W3141023492","https://openalex.org/W3173151551","https://openalex.org/W3189092450","https://openalex.org/W4234173777","https://openalex.org/W4288320194","https://openalex.org/W4288346294","https://openalex.org/W4293568373","https://openalex.org/W6605479355","https://openalex.org/W6696429117","https://openalex.org/W6747837047","https://openalex.org/W6754278344","https://openalex.org/W6756599904","https://openalex.org/W6759718592","https://openalex.org/W6763416564","https://openalex.org/W6765242767","https://openalex.org/W6780248173","https://openalex.org/W6781372415","https://openalex.org/W6797132756"],"related_works":["https://openalex.org/W2117913171","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/W2582769230"],"abstract_inverted_index":{"Human":[0],"activity":[1,37],"recognition":[2],"(HAR)":[3],"based":[4],"on":[5,67],"wearable":[6],"sensors":[7],"has":[8,64],"attracted":[9],"significant":[10,65],"research":[11],"attention":[12],"in":[13,20,77,133],"recent":[14],"years":[15],"due":[16],"to":[17,34,103,143,145],"its":[18],"advantages":[19],"availability,":[21],"accuracy,":[22,137],"and":[23,90,115,140],"privacy-friendliness.":[24],"HAR":[25,70,78],"baseline":[26,56,74,99],"model":[27,51,57,75,100],"is":[28,58,79],"essentially":[29],"a":[30,54,80,97],"general-purpose":[31],"classifier":[32],"trained":[33],"recognized":[35],"multiple":[36],"patterns":[38],"of":[39,50,59,135],"most":[40],"user":[41],"types.":[42],"It":[43],"provides":[44],"the":[45,68,105,127,141],"input":[46],"for":[47],"subsequent":[48],"steps":[49],"personalization.":[52],"Training":[53],"good":[55],"fundamental":[60],"importance":[61],"because":[62],"it":[63],"impacts":[66],"ultimate":[69],"accuracy.":[71],"In":[72],"practice,":[73],"training":[76,88,92,101],"non-trivial":[81],"problem":[82],"that":[83,126],"faces":[84],"two":[85,106],"challenges:":[86],"insufficient":[87],"data":[89,150],"biased":[91],"data.":[93],"This":[94],"paper":[95],"proposes":[96],"novel":[98],"scheme":[102,129],"tackle":[104],"challenges":[107],"using":[108],"Deep":[109],"InfoMax":[110],"(DIM)-based":[111],"unsupervised":[112],"feature":[113],"extraction":[114],"Broad":[116],"Learning":[117],"System":[118],"(BLS)-based":[119],"incremental":[120],"learning,":[121],"respectively.":[122],"Experimental":[123],"results":[124],"demonstrate":[125],"proposed":[128],"outperform":[130],"conventional":[131],"methods":[132],"terms":[134],"overall":[136],"computational":[138],"efficiency,":[139],"ability":[142],"adapt":[144],"dynamic":[146],"scenarios":[147],"with":[148],"changing":[149],"characteristics.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}