{"id":"https://openalex.org/W4416926407","doi":"https://doi.org/10.1145/3770652","title":"Large Language Model-guided Semantic Alignment for Human Activity Recognition","display_name":"Large Language Model-guided Semantic Alignment for Human Activity Recognition","publication_year":2025,"publication_date":"2025-12-02","ids":{"openalex":"https://openalex.org/W4416926407","doi":"https://doi.org/10.1145/3770652"},"language":"en","primary_location":{"id":"doi:10.1145/3770652","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770652","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3770652","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hua Yan","orcid":"https://orcid.org/0009-0001-5967-0194"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hua Yan","raw_affiliation_strings":["Lehigh University, Bethlehem, Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Lehigh University, Bethlehem, Pennsylvania, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037907278","display_name":"Heng Tan","orcid":"https://orcid.org/0000-0002-1864-6761"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng Tan","raw_affiliation_strings":["Lehigh University, Bethlehem, Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Lehigh University, Bethlehem, Pennsylvania, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037684756","display_name":"Yi Ding","orcid":"https://orcid.org/0000-0002-1226-341X"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Ding","raw_affiliation_strings":["Computer Science, University of Texas at Dallas, Richardson, Texas, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science, University of Texas at Dallas, Richardson, Texas, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025111079","display_name":"Pengfei Zhou","orcid":"https://orcid.org/0000-0003-1836-1122"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pengfei Zhou","raw_affiliation_strings":["School of Computing and Information, University of Pittsburgh, Pittsburgh, Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information, University of Pittsburgh, Pittsburgh, Pennsylvania, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008657111","display_name":"Vinod Namboodiri","orcid":"https://orcid.org/0000-0003-0705-6990"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vinod Namboodiri","raw_affiliation_strings":["Lehigh University, Bethlehem, Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Lehigh University, Bethlehem, Pennsylvania, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051976513","display_name":"Yu Yang","orcid":"https://orcid.org/0000-0003-1627-5503"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Yang","raw_affiliation_strings":["Department of Computer Science and Engineering, Lehigh University, Bethlehem, Pennsylvania, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Lehigh University, Bethlehem, Pennsylvania, USA","institution_ids":["https://openalex.org/I186143895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I186143895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39248903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"4","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9563000202178955,"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":0.9563000202178955,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.0052999998442828655,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.0020000000949949026,"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/activity-recognition","display_name":"Activity recognition","score":0.7254999876022339},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5705000162124634},{"id":"https://openalex.org/keywords/semantic-interpretation","display_name":"Semantic interpretation","score":0.5105999708175659},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.45190000534057617},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.41999998688697815},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.3978999853134155},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.39730000495910645},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.35670000314712524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7565000057220459},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7254999876022339},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5705000162124634},{"id":"https://openalex.org/C193125573","wikidata":"https://www.wikidata.org/wiki/Q7449065","display_name":"Semantic interpretation","level":2,"score":0.5105999708175659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4999000132083893},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4814999997615814},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.45190000534057617},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.41999998688697815},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.3978999853134155},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.39730000495910645},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.35670000314712524},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.3560999929904938},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.3424000144004822},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2994999885559082},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2964000105857849},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C53893814","wikidata":"https://www.wikidata.org/wiki/Q7378909","display_name":"Rule-based machine translation","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.26249998807907104},{"id":"https://openalex.org/C2983448237","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Language understanding","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3770652","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770652","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3770652","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3770652","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1974344651","https://openalex.org/W2057907879","https://openalex.org/W2129793335","https://openalex.org/W2219995598","https://openalex.org/W2270470215","https://openalex.org/W2316564986","https://openalex.org/W2553915786","https://openalex.org/W2620664872","https://openalex.org/W2811146364","https://openalex.org/W2898186212","https://openalex.org/W3003860764","https://openalex.org/W3011074022","https://openalex.org/W3047422066","https://openalex.org/W3099025572","https://openalex.org/W3124653912","https://openalex.org/W3128981305","https://openalex.org/W3183719272","https://openalex.org/W3211771663","https://openalex.org/W4205819551","https://openalex.org/W4282979157","https://openalex.org/W4286986228","https://openalex.org/W4290943458","https://openalex.org/W4291125982","https://openalex.org/W4387227531","https://openalex.org/W4391979508","https://openalex.org/W4396735673","https://openalex.org/W4399121418","https://openalex.org/W4404585435","https://openalex.org/W4411403346","https://openalex.org/W6963732718"],"related_works":[],"abstract_inverted_index":{"Human":[0],"Activity":[1],"Recognition":[2],"(HAR)":[3],"using":[4],"Inertial":[5],"Measurement":[6],"Unit":[7],"(IMU)":[8],"sensors":[9],"is":[10,161],"critical":[11],"for":[12,66,122],"applications":[13],"in":[14,22,150],"healthcare,":[15],"safety,":[16],"and":[17,27,63,97,110,154],"industrial":[18],"production.":[19],"However,":[20],"variations":[21],"activity":[23,64,111,156],"patterns,":[24],"device":[25],"types,":[26],"sensor":[28,61,108,119,127],"placements":[29],"create":[30],"distribution":[31],"gaps":[32],"across":[33],"datasets,":[34],"reducing":[35],"the":[36,79,104,133],"performance":[37],"of":[38,60,81,107],"HAR":[39,153],"models.":[40],"To":[41],"address":[42],"this,":[43],"we":[44],"propose":[45],"LanHAR,":[46],"a":[47,98,117],"novel":[48],"system":[49],"that":[50,102,143],"leverages":[51],"Large":[52],"Language":[53],"Models":[54],"(LLMs)":[55],"to":[56,90,116,129],"generate":[57],"semantic":[58,93,105,134],"interpretations":[59,94,106],"readings":[62,109],"labels":[65],"cross-dataset":[67,74,152],"HAR.":[68],"This":[69,113],"approach":[70,145],"not":[71],"only":[72],"mitigates":[73],"heterogeneity":[75],"but":[76],"also":[77],"enhances":[78],"recognition":[80],"new":[82,155],"activities.":[83],"LanHAR":[84],"employs":[85],"an":[86],"iterative":[87],"re-generation":[88],"method":[89],"produce":[91],"high-quality":[92],"with":[95],"LLMs":[96],"two-stage":[99],"training":[100],"framework":[101],"bridges":[103],"labels.":[112],"ultimately":[114],"leads":[115],"lightweight":[118],"encoder":[120],"suitable":[121],"mobile":[123],"deployment,":[124],"enabling":[125],"any":[126],"reading":[128],"be":[130],"mapped":[131],"into":[132],"interpretation":[135],"space.":[136],"Experiments":[137],"on":[138],"five":[139],"public":[140],"datasets":[141],"demonstrate":[142],"our":[144],"significantly":[146],"outperforms":[147],"state-of-the-art":[148],"methods":[149],"both":[151],"recognition.":[157],"The":[158],"source":[159],"code":[160],"publicly":[162],"available":[163],"at":[164],"https://github.com/DASHLab/LanHAR.":[165]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-02T00:00:00"}
