{"id":"https://openalex.org/W4285211365","doi":"https://doi.org/10.1109/tii.2022.3173957","title":"A Boundary Consistency-Aware Multitask Learning Framework for Joint Activity Segmentation and Recognition With Wearable Sensors","display_name":"A Boundary Consistency-Aware Multitask Learning Framework for Joint Activity Segmentation and Recognition With Wearable Sensors","publication_year":2022,"publication_date":"2022-05-10","ids":{"openalex":"https://openalex.org/W4285211365","doi":"https://doi.org/10.1109/tii.2022.3173957"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3173957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3173957","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Industrial Informatics","raw_type":"journal-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/A5100617519","display_name":"Songpengcheng Xia","orcid":"https://orcid.org/0000-0002-9452-7967"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Songpengcheng Xia","raw_affiliation_strings":["Shanghai Key Laboratory of Navigation and Location-based Services, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Navigation and Location-based Services, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041988024","display_name":"Lei Chu","orcid":"https://orcid.org/0000-0001-6265-6505"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chu","raw_affiliation_strings":["Shanghai Key Laboratory of Navigation and Location-based Services, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Navigation and Location-based Services, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021661339","display_name":"Ling Pei","orcid":"https://orcid.org/0000-0003-1025-1260"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Pei","raw_affiliation_strings":["Shanghai Key Laboratory of Navigation and Location-based Services, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Navigation and Location-based Services, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445293","display_name":"Wenxian Yu","orcid":"https://orcid.org/0000-0002-8741-776X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxian Yu","raw_affiliation_strings":["Shanghai Key Laboratory of Navigation and Location-based Services, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Navigation and Location-based Services, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066014874","display_name":"Robert C. Qiu","orcid":"https://orcid.org/0000-0002-0988-5525"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Robert C. Qiu","raw_affiliation_strings":["Shanghai Key Laboratory of Navigation and Location-based Services, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Navigation and Location-based Services, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100617519"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.732,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.85741522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"19","issue":"3","first_page":"2984","last_page":"2996"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9603999853134155,"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/computer-science","display_name":"Computer science","score":0.7578927278518677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6777546405792236},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6547793745994568},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6378757953643799},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6045888662338257},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5397565960884094},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5079377293586731},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.48069220781326294},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45540720224380493},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4221374988555908},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3926231265068054},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32967978715896606},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.10186299681663513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7578927278518677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6777546405792236},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6547793745994568},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6378757953643799},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6045888662338257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5397565960884094},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5079377293586731},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.48069220781326294},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45540720224380493},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4221374988555908},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3926231265068054},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32967978715896606},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.10186299681663513}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2022.3173957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3173957","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5699999928474426,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G3041062983","display_name":null,"funder_award_id":"61873163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1682770403","https://openalex.org/W1903029394","https://openalex.org/W2026297770","https://openalex.org/W2073401630","https://openalex.org/W2270470215","https://openalex.org/W2288101972","https://openalex.org/W2466337456","https://openalex.org/W2523257820","https://openalex.org/W2561406803","https://openalex.org/W2592284297","https://openalex.org/W2604630936","https://openalex.org/W2757094569","https://openalex.org/W2807963368","https://openalex.org/W2899250138","https://openalex.org/W2905852111","https://openalex.org/W2948204427","https://openalex.org/W2954418827","https://openalex.org/W2963691377","https://openalex.org/W2963716982","https://openalex.org/W2963853051","https://openalex.org/W2963881378","https://openalex.org/W2965144482","https://openalex.org/W2996849311","https://openalex.org/W3006654525","https://openalex.org/W3047467872","https://openalex.org/W3080624533","https://openalex.org/W3101265641","https://openalex.org/W3108772932","https://openalex.org/W3109518304","https://openalex.org/W3109519758","https://openalex.org/W3119038403","https://openalex.org/W3120838687","https://openalex.org/W3127033546","https://openalex.org/W3132447096","https://openalex.org/W3144294392","https://openalex.org/W3162237909","https://openalex.org/W3164845984","https://openalex.org/W3166187222","https://openalex.org/W3168371806","https://openalex.org/W3196745188","https://openalex.org/W3199905074","https://openalex.org/W3200829394","https://openalex.org/W3201303090","https://openalex.org/W3204193736","https://openalex.org/W4205189160","https://openalex.org/W4206712409","https://openalex.org/W4210325123","https://openalex.org/W4286681770","https://openalex.org/W4313165677","https://openalex.org/W6739901393","https://openalex.org/W6752381170"],"related_works":["https://openalex.org/W3183901164","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3105278570","https://openalex.org/W3167935049","https://openalex.org/W3003905048","https://openalex.org/W2117913171","https://openalex.org/W2582769230","https://openalex.org/W2253429366","https://openalex.org/W3127975138"],"abstract_inverted_index":{"With":[0],"the":[1,43,82,105,119,122,150],"development":[2],"of":[3,121,155],"industrial":[4],"and":[5,40,58,124],"sensing":[6],"technology,":[7],"sensor-based":[8],"activity":[9,23,78,123],"recognition":[10,24,44],"has":[11,37],"become":[12],"a":[13,21,31,51,71,94,99,113],"promising":[14],"technology":[15],"for":[16,76,87],"informatics":[17],"applications.":[18],"However,":[19],"in":[20],"typical":[22],"procedure,":[25],"sensory":[26],"data":[27],"segmentation,":[28],"usually":[29],"considered":[30],"preprocess":[32],"with":[33,61,98,146],"sliding":[34],"windows,":[35],"rarely":[36],"been":[38],"investigated":[39],"significantly":[41],"affected":[42],"performance.":[45],"In":[46],"this":[47,156],"article,":[48],"we":[49,69,110],"propose":[50,112],"novel":[52],"deep-learning":[53],"method":[54,128],"to":[55,80,103,117],"jointly":[56],"segment":[57],"recognize":[59],"activities":[60],"wearable":[62],"sensors.":[63],"Our":[64,127],"contributions":[65],"are":[66],"three-fold:":[67],"First,":[68],"introduce":[70],"multistage":[72],"temporal":[73],"convolutional":[74],"network":[75],"sample-level":[77],"prediction":[79,101],"overcome":[81],"multiclass":[83],"windows":[84],"problem.":[85],"Second,":[86],"alleviating":[88],"oversegmentation":[89],"errors,":[90],"our":[91],"model":[92],"forms":[93],"multitask":[95],"learning":[96],"framework":[97],"boundary":[100,114,125],"module":[102],"adjust":[104],"entire":[106],"model\u2019s":[107],"gradients.":[108],"Third,":[109],"innovatively":[111],"consistency":[115,120],"loss":[116],"enforce":[118],"prediction.":[126],"shows":[129],"impressive":[130],"performance":[131],"on":[132,149,162],"three":[133],"public":[134],"datasets,":[135],"especially":[136],"achieving":[137],"16%":[138],"improvement":[139],"over":[140],"very":[141],"recently":[142],"advanced":[143],"competing":[144],"methods":[145],"class-average":[147],"F1-score":[148],"Hospital":[151],"dataset.":[152],"The":[153],"code":[154],"work":[157],"will":[158],"be":[159],"open":[160],"source":[161],"<uri":[163],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[164],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/xspc/Segmentation-Sensor-based-HAR</uri>":[165],".":[166]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
