{"id":"https://openalex.org/W4400724765","doi":"https://doi.org/10.3390/s24144646","title":"Enhancing Human Activity Recognition through Integrated Multimodal Analysis: A Focus on RGB Imaging, Skeletal Tracking, and Pose Estimation","display_name":"Enhancing Human Activity Recognition through Integrated Multimodal Analysis: A Focus on RGB Imaging, Skeletal Tracking, and Pose Estimation","publication_year":2024,"publication_date":"2024-07-17","ids":{"openalex":"https://openalex.org/W4400724765","doi":"https://doi.org/10.3390/s24144646","pmid":"https://pubmed.ncbi.nlm.nih.gov/39066043"},"language":"en","primary_location":{"id":"doi:10.3390/s24144646","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24144646","pdf_url":"https://www.mdpi.com/1424-8220/24/14/4646/pdf?version=1721295520","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/14/4646/pdf?version=1721295520","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101103154","display_name":"Sajid Ur Rehman","orcid":null},"institutions":[{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Sajid Ur Rehman","raw_affiliation_strings":["Department of Creative Technologies, Air University, Islamabad 44000, Pakistan"],"raw_orcid":"https://orcid.org/0009-0003-0889-9540","affiliations":[{"raw_affiliation_string":"Department of Creative Technologies, Air University, Islamabad 44000, Pakistan","institution_ids":["https://openalex.org/I899713450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109748155","display_name":"Aman Ullah Yasin","orcid":null},"institutions":[{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Aman Ullah Yasin","raw_affiliation_strings":["Department of Creative Technologies, Air University, Islamabad 44000, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Creative Technologies, Air University, Islamabad 44000, Pakistan","institution_ids":["https://openalex.org/I899713450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113292294","display_name":"Ehtisham Ul Haq","orcid":null},"institutions":[{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Ehtisham Ul Haq","raw_affiliation_strings":["Department of Creative Technologies, Air University, Islamabad 44000, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Creative Technologies, Air University, Islamabad 44000, Pakistan","institution_ids":["https://openalex.org/I899713450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101318661","display_name":"M. Jafar Sathick Ali","orcid":"https://orcid.org/0009-0001-0918-4462"},"institutions":[{"id":"https://openalex.org/I899713450","display_name":"Air University","ror":"https://ror.org/03yfe9v83","country_code":"PK","type":"education","lineage":["https://openalex.org/I899713450"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Moazzam Ali","raw_affiliation_strings":["Department of Creative Technologies, Air University, Islamabad 44000, Pakistan"],"raw_orcid":"https://orcid.org/0009-0001-0918-4462","affiliations":[{"raw_affiliation_string":"Department of Creative Technologies, Air University, Islamabad 44000, Pakistan","institution_ids":["https://openalex.org/I899713450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101991949","display_name":"Jungsuk Kim","orcid":"https://orcid.org/0000-0001-5866-465X"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungsuk Kim","raw_affiliation_strings":["Department of Biomedical Engineering, College of IT Convergence, Gachon University, 1342 Seongnamdaero, Sujeong-gu, Seongnam-si 13120, Republic of Korea","Research and Development Laboratory, Cellico Company, Seongnam-si 13449, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-5866-465X","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, College of IT Convergence, Gachon University, 1342 Seongnamdaero, Sujeong-gu, Seongnam-si 13120, Republic of Korea","institution_ids":["https://openalex.org/I12832649"]},{"raw_affiliation_string":"Research and Development Laboratory, Cellico Company, Seongnam-si 13449, Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083067091","display_name":"Asif Mehmood","orcid":"https://orcid.org/0000-0002-3019-9191"},"institutions":[{"id":"https://openalex.org/I12832649","display_name":"Gachon University","ror":"https://ror.org/03ryywt80","country_code":"KR","type":"education","lineage":["https://openalex.org/I12832649"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Asif Mehmood","raw_affiliation_strings":["Department of Biomedical Engineering, College of IT Convergence, Gachon University, 1342 Seongnamdaero, Sujeong-gu, Seongnam-si 13120, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-3019-9191","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, College of IT Convergence, Gachon University, 1342 Seongnamdaero, Sujeong-gu, Seongnam-si 13120, Republic of Korea","institution_ids":["https://openalex.org/I12832649"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5083067091"],"corresponding_institution_ids":["https://openalex.org/I12832649"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":3.3799,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.9358249,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"24","issue":"14","first_page":"4646","last_page":"4646"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9968000054359436,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.986299991607666,"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/computer-science","display_name":"Computer science","score":0.7759015560150146},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6535031795501709},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.652028501033783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6510555148124695},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6184577941894531},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5675574541091919},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5528900623321533},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5174575448036194},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.515993595123291},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.47096043825149536},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4646700322628021},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.4607267379760742},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4090856909751892},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38298800587654114},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3765680491924286}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7759015560150146},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6535031795501709},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.652028501033783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6510555148124695},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6184577941894531},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5675574541091919},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5528900623321533},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5174575448036194},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.515993595123291},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47096043825149536},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4646700322628021},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.4607267379760742},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4090856909751892},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38298800587654114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3765680491924286},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.3390/s24144646","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24144646","pdf_url":"https://www.mdpi.com/1424-8220/24/14/4646/pdf?version=1721295520","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:39066043","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39066043","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11280841","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11280841","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11280841/pdf/sensors-24-04646.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:dba211fb3f894f91aa06f1e28dfa5e33","is_oa":false,"landing_page_url":"https://doaj.org/article/dba211fb3f894f91aa06f1e28dfa5e33","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 14, p 4646 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s24144646","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24144646","pdf_url":"https://www.mdpi.com/1424-8220/24/14/4646/pdf?version=1721295520","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2129844584","display_name":null,"funder_award_id":"20022793","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G3080989322","display_name":null,"funder_award_id":"NRF-2022R1A2C1012037","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320322202","display_name":"IC Design Education Center","ror":"https://ror.org/005v57z85"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400724765.pdf","grobid_xml":"https://content.openalex.org/works/W4400724765.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1983364832","https://openalex.org/W2002927414","https://openalex.org/W2172156083","https://openalex.org/W2296311849","https://openalex.org/W2583372902","https://openalex.org/W2602311553","https://openalex.org/W2604321021","https://openalex.org/W2606294640","https://openalex.org/W2737305288","https://openalex.org/W2797382244","https://openalex.org/W2883429621","https://openalex.org/W2963076818","https://openalex.org/W2963102968","https://openalex.org/W2963155035","https://openalex.org/W2963379341","https://openalex.org/W2965616447","https://openalex.org/W2971419863","https://openalex.org/W2978297421","https://openalex.org/W2994365842","https://openalex.org/W3001937790","https://openalex.org/W3002405096","https://openalex.org/W3003955781","https://openalex.org/W3008546095","https://openalex.org/W3011384521","https://openalex.org/W3013477486","https://openalex.org/W3022953388","https://openalex.org/W3048230991","https://openalex.org/W3096616479","https://openalex.org/W3133744066","https://openalex.org/W3169477302","https://openalex.org/W3188682810","https://openalex.org/W3193657022","https://openalex.org/W4206352863","https://openalex.org/W4287219251","https://openalex.org/W4304776924","https://openalex.org/W4312121903","https://openalex.org/W4312141031","https://openalex.org/W4312223985","https://openalex.org/W4312245820","https://openalex.org/W4320920821","https://openalex.org/W4365447106","https://openalex.org/W4380886146","https://openalex.org/W6758209225","https://openalex.org/W6784823439"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4308259661","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W4328132048","https://openalex.org/W1969901537","https://openalex.org/W2119768059"],"abstract_inverted_index":{"Human":[0],"activity":[1],"recognition":[2,114],"(HAR)":[3],"is":[4,106],"pivotal":[5],"in":[6,27,90,162,188],"advancing":[7],"applications":[8],"ranging":[9],"from":[10],"healthcare":[11],"monitoring":[12],"to":[13,41,63],"interactive":[14],"gaming.":[15],"Traditional":[16],"HAR":[17,42,152,186],"systems,":[18,69],"primarily":[19],"relying":[20],"on":[21,119],"single":[22],"data":[23,89],"sources,":[24],"face":[25],"limitations":[26],"capturing":[28,163],"the":[29,58,65,120,130,134,157,164,170,178],"full":[30],"spectrum":[31],"of":[32,60,67,77,103,136,159,166,172],"human":[33,123,167],"activities.":[34,78],"This":[35,143],"study":[36,144],"introduces":[37],"a":[38,71,81,148],"comprehensive":[39],"approach":[40,132],"by":[43,93],"integrating":[44],"two":[45],"critical":[46],"modalities:":[47],"RGB":[48,88],"imaging":[49],"and":[50,73,87,169,184],"advanced":[51,109],"pose":[52,94],"estimation":[53,95],"features.":[54,174],"Our":[55,175],"methodology":[56],"leverages":[57],"strengths":[59],"each":[61],"modality":[62],"overcome":[64],"drawbacks":[66],"unimodal":[68],"providing":[70],"richer":[72],"more":[74,181],"accurate":[75],"representation":[76],"We":[79],"propose":[80],"two-stream":[82],"network":[83],"that":[84,129],"processes":[85],"skeletal":[86],"parallel,":[91],"enhanced":[92],"techniques":[96],"for":[97,151,180],"refined":[98],"feature":[99,160],"extraction.":[100],"The":[101],"integration":[102,171],"these":[104],"modalities":[105],"facilitated":[107],"through":[108],"fusion":[110],"algorithms,":[111,139],"significantly":[112],"improving":[113],"accuracy.":[115],"Extensive":[116],"experiments":[117],"conducted":[118],"UTD":[121],"multimodal":[122],"action":[124],"dataset":[125],"(UTD":[126],"MHAD)":[127],"demonstrate":[128],"proposed":[131],"exceeds":[133],"performance":[135],"existing":[137],"state-of-the-art":[138],"yielding":[140],"improved":[141],"outcomes.":[142],"not":[145],"only":[146],"sets":[147],"new":[149],"benchmark":[150],"systems":[153,187],"but":[154],"also":[155],"highlights":[156],"importance":[158],"engineering":[161],"complexity":[165],"movements":[168],"optimal":[173],"findings":[176],"pave":[177],"way":[179],"sophisticated,":[182],"reliable,":[183],"applicable":[185],"real-world":[189],"scenarios.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}