{"id":"https://openalex.org/W7127985322","doi":"https://doi.org/10.1016/j.compeleceng.2026.111005","title":"A low-latency deep learning approach for human action recognition in medical internet of things applications","display_name":"A low-latency deep learning approach for human action recognition in medical internet of things applications","publication_year":2026,"publication_date":"2026-02-06","ids":{"openalex":"https://openalex.org/W7127985322","doi":"https://doi.org/10.1016/j.compeleceng.2026.111005"},"language":"en","primary_location":{"id":"doi:10.1016/j.compeleceng.2026.111005","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compeleceng.2026.111005","pdf_url":null,"source":{"id":"https://openalex.org/S121340289","display_name":"Computers & Electrical Engineering","issn_l":"0045-7906","issn":["0045-7906","1879-0755"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers and Electrical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.compeleceng.2026.111005","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018461941","display_name":"Hoangcong Le","orcid":"https://orcid.org/0009-0007-9327-7584"},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hoangcong Le","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0009-0007-9327-7584","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan","institution_ids":["https://openalex.org/I134161618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022360833","display_name":"Cheng-Kai Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Cheng-Kai Lu","raw_affiliation_strings":["Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-5819-0754","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, National Taiwan Normal University, Taipei, Taiwan","institution_ids":["https://openalex.org/I134161618"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5022360833"],"corresponding_institution_ids":["https://openalex.org/I134161618"],"apc_list":{"value":3100,"currency":"USD","value_usd":3100},"apc_paid":{"value":3100,"currency":"USD","value_usd":3100},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12179644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"132","issue":null,"first_page":"111005","last_page":"111005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.6151000261306763,"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":0.6151000261306763,"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":0.24879999458789825,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.01810000091791153,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/benchmark","display_name":"Benchmark (surveying)","score":0.7145000100135803},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.555400013923645},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5285000205039978},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4912000000476837},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.47600001096725464},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.46549999713897705},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.46209999918937683},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.4275999963283539},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4237000048160553},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.42160001397132874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7741000056266785},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7145000100135803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6256999969482422},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.555400013923645},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5285000205039978},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5024999976158142},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4912000000476837},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.47600001096725464},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.46549999713897705},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.46209999918937683},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.427700012922287},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.4275999963283539},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4237000048160553},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.42160001397132874},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.3828999996185303},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.3626999855041504},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.35030001401901245},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.3490000069141388},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.34880000352859497},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.34360000491142273},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3434999883174896},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.28349998593330383},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.compeleceng.2026.111005","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compeleceng.2026.111005","pdf_url":null,"source":{"id":"https://openalex.org/S121340289","display_name":"Computers & Electrical Engineering","issn_l":"0045-7906","issn":["0045-7906","1879-0755"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers and Electrical Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.compeleceng.2026.111005","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.compeleceng.2026.111005","pdf_url":null,"source":{"id":"https://openalex.org/S121340289","display_name":"Computers & Electrical Engineering","issn_l":"0045-7906","issn":["0045-7906","1879-0755"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers and Electrical Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2716800565","display_name":null,"funder_award_id":"112-2221-E-003 -010","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"},{"id":"https://openalex.org/G3003046129","display_name":null,"funder_award_id":"NSTC 112\\u20132221-E-003 \\u2212010","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"},{"id":"https://openalex.org/G313962517","display_name":null,"funder_award_id":"NSTC 112-2221-E-003-008","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"},{"id":"https://openalex.org/G3173836731","display_name":null,"funder_award_id":"NSTC 112\\u20132221-E-003\\u2013007","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"},{"id":"https://openalex.org/G4172208085","display_name":null,"funder_award_id":"NSTC 112-2221-E-003-007","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"},{"id":"https://openalex.org/G8022838964","display_name":null,"funder_award_id":"NSTC 112\\u20132221-E-003\\u2013008","funder_id":"https://openalex.org/F2461203286","funder_display_name":"National Science and Technology Council"}],"funders":[{"id":"https://openalex.org/F2461203286","display_name":"National Science and Technology Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"},{"id":"https://openalex.org/F4320323837","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1984798172","https://openalex.org/W2777985171","https://openalex.org/W2783323081","https://openalex.org/W2910217813","https://openalex.org/W2972743300","https://openalex.org/W2977470591","https://openalex.org/W3002842489","https://openalex.org/W3039224603","https://openalex.org/W3080723489","https://openalex.org/W3104048084","https://openalex.org/W3106678532","https://openalex.org/W3115431207","https://openalex.org/W3128348732","https://openalex.org/W3135691841","https://openalex.org/W3200235245","https://openalex.org/W4200301490","https://openalex.org/W4200317051","https://openalex.org/W4226297068","https://openalex.org/W4226538115","https://openalex.org/W4283836352","https://openalex.org/W4308933614","https://openalex.org/W4309489061","https://openalex.org/W4312997982","https://openalex.org/W4318586187","https://openalex.org/W4321488262","https://openalex.org/W4366779442","https://openalex.org/W4367835725","https://openalex.org/W4381053042","https://openalex.org/W4382683887","https://openalex.org/W4385225755","https://openalex.org/W4386022762","https://openalex.org/W4387452824","https://openalex.org/W4387885793","https://openalex.org/W4387911389","https://openalex.org/W4388178348","https://openalex.org/W4388914567","https://openalex.org/W4389086713","https://openalex.org/W4389991328","https://openalex.org/W4390327397","https://openalex.org/W4390349622","https://openalex.org/W4391226146","https://openalex.org/W4391241837","https://openalex.org/W4392309487","https://openalex.org/W4392567235","https://openalex.org/W4392902205","https://openalex.org/W4393232165","https://openalex.org/W4393678937","https://openalex.org/W4393965510","https://openalex.org/W4394904126","https://openalex.org/W4396753493","https://openalex.org/W4402313988","https://openalex.org/W4402492901","https://openalex.org/W4403561319","https://openalex.org/W4406053702","https://openalex.org/W4406109636","https://openalex.org/W4412972292"],"related_works":[],"abstract_inverted_index":{"Real-time":[0],"human":[1],"action":[2],"recognition":[3,93],"(HAR)":[4],"plays":[5],"a":[6,55,60,158],"vital":[7],"role":[8],"in":[9,43,186],"healthcare":[10,189],"monitoring,":[11],"particularly":[12],"for":[13,178],"elderly":[14],"care":[15],"and":[16,32,69,75,86,115],"assistive":[17],"environments.":[18],"However,":[19],"existing":[20],"HAR":[21],"systems":[22],"often":[23],"struggle":[24],"with":[25,147],"high":[26],"computational":[27,98],"demands,":[28],"large":[29],"model":[30,101],"sizes,":[31],"vulnerability":[33],"to":[34,71,118,141],"background":[35],"noise,":[36],"limiting":[37],"their":[38],"use":[39],"on":[40,59,125,143,167],"edge":[41],"devices":[42],"the":[44,131,134,144,182],"Internet":[45],"of":[46,133,151,171],"Medical":[47],"Things":[48],"(IoMT)":[49],"settings.":[50],"This":[51],"study":[52,78],"proposes":[53],"Temporal-SpatialCNN,":[54],"lightweight":[56],"framework":[57],"built":[58],"novel":[61],"CNNBlock":[62,85],"architecture":[63],"that":[64,91],"integrates":[65],"convolution,":[66],"batch":[67],"normalization,":[68],"Spatial-Dropout":[70],"enhance":[72],"both":[73],"efficiency":[74],"generalization.":[76],"The":[77,100],"systematically":[79],"analyzes":[80],"various":[81],"layer":[82],"arrangements":[83],"within":[84],"identifies":[87],"an":[88,148],"optimal":[89],"configuration":[90],"improves":[92],"performance":[94],"while":[95],"maintaining":[96],"minimal":[97],"overhead.":[99],"incorporates":[102],"diverse":[103],"skeletal":[104],"input":[105],"modalities":[106],"\u2013":[107,117],"joint":[108,110],"coordinates,":[109],"collection":[111],"distances,":[112],"slow":[113],"motion,":[114],"velocity":[116],"capture":[119],"enriched":[120],"spatio-temporal":[121],"features.":[122],"Extensive":[123],"experiments":[124],"five":[126],"well-known":[127],"benchmark":[128],"datasets":[129],"validate":[130],"effectiveness":[132],"proposed":[135],"approach,":[136],"achieving":[137],"state-of-the-art":[138],"accuracy":[139],"(up":[140],"99.66%":[142],"Florence-3D":[145],"dataset)":[146],"inference":[149],"time":[150],"9.6":[152],"ms.":[153],"To":[154],"demonstrate":[155],"real-world":[156],"applicability,":[157],"real-time":[159],"Save":[160],"Our":[161],"Soul":[162],"(SOS)":[163],"system":[164],"was":[165],"implemented":[166],"standard":[168],"hardware,":[169],"capable":[170],"detecting":[172],"emergency":[173],"gestures":[174],"such":[175],"as":[176],"calls":[177],"assistance,":[179],"thereby":[180],"highlighting":[181],"model\u2019s":[183],"practical":[184],"potential":[185],"real-time,":[187],"resource-constrained":[188],"scenarios.":[190]},"counts_by_year":[],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2026-02-07T00:00:00"}