{"id":"https://openalex.org/W4288388953","doi":"https://doi.org/10.1109/jcsse54890.2022.9836239","title":"Deep Learning Models for Daily Living Activity Recognition based on Wearable Inertial Sensors","display_name":"Deep Learning Models for Daily Living Activity Recognition based on Wearable Inertial Sensors","publication_year":2022,"publication_date":"2022-06-22","ids":{"openalex":"https://openalex.org/W4288388953","doi":"https://doi.org/10.1109/jcsse54890.2022.9836239"},"language":"en","primary_location":{"id":"doi:10.1109/jcsse54890.2022.9836239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse54890.2022.9836239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)","raw_type":"proceedings-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/A5068798343","display_name":"Sakorn Mekruksavanich","orcid":"https://orcid.org/0000-0002-3735-4262"},"institutions":[{"id":"https://openalex.org/I4210090662","display_name":"University of Phayao","ror":"https://ror.org/00a5mh069","country_code":"TH","type":"education","lineage":["https://openalex.org/I4210090662"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Sakorn Mekruksavanich","raw_affiliation_strings":["School of Information and Communication Technology, University of Phayao,Department of Computer Engineering,Phayao,Thailand","Department of Computer Engineering, School of Information and Communication Technology, University of Phayao, Phayao, Thailand"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, University of Phayao,Department of Computer Engineering,Phayao,Thailand","institution_ids":["https://openalex.org/I4210090662"]},{"raw_affiliation_string":"Department of Computer Engineering, School of Information and Communication Technology, University of Phayao, Phayao, Thailand","institution_ids":["https://openalex.org/I4210090662"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021003747","display_name":"Ponnipa Jantawong","orcid":"https://orcid.org/0000-0002-4582-4922"},"institutions":[{"id":"https://openalex.org/I4210090662","display_name":"University of Phayao","ror":"https://ror.org/00a5mh069","country_code":"TH","type":"education","lineage":["https://openalex.org/I4210090662"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Ponnipa Jantawong","raw_affiliation_strings":["School of Information and Communication Technology, University of Phayao,Department of Computer Engineering,Phayao,Thailand","Department of Computer Engineering, School of Information and Communication Technology, University of Phayao, Phayao, Thailand"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, University of Phayao,Department of Computer Engineering,Phayao,Thailand","institution_ids":["https://openalex.org/I4210090662"]},{"raw_affiliation_string":"Department of Computer Engineering, School of Information and Communication Technology, University of Phayao, Phayao, Thailand","institution_ids":["https://openalex.org/I4210090662"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058911450","display_name":"Narit Hnoohom","orcid":"https://orcid.org/0000-0003-3714-8482"},"institutions":[{"id":"https://openalex.org/I25399158","display_name":"Mahidol University","ror":"https://ror.org/01znkr924","country_code":"TH","type":"education","lineage":["https://openalex.org/I25399158"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Narit Hnoohom","raw_affiliation_strings":["Mahidol University,Image, Information and Intelligence Laboratory, Faculty of Engineering,Department of Computer Engineering,Nakhon Pathom,Thailand","Department of Computer Engineering, Image, Information and Intelligence Laboratory, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand"],"affiliations":[{"raw_affiliation_string":"Mahidol University,Image, Information and Intelligence Laboratory, Faculty of Engineering,Department of Computer Engineering,Nakhon Pathom,Thailand","institution_ids":["https://openalex.org/I25399158"]},{"raw_affiliation_string":"Department of Computer Engineering, Image, Information and Intelligence Laboratory, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand","institution_ids":["https://openalex.org/I25399158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085644461","display_name":"Anuchit Jitpattanakul","orcid":"https://orcid.org/0000-0002-5249-2786"},"institutions":[{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Anuchit Jitpattanakul","raw_affiliation_strings":["King Mongkut&#x0027;s University of Technology North Bangkok,Intelligent and Nonlinear Dynamic Innovations Research Center, Faculty of Applied Science,Department of Mathematics,Bangkok,Thailand"],"affiliations":[{"raw_affiliation_string":"King Mongkut&#x0027;s University of Technology North Bangkok,Intelligent and Nonlinear Dynamic Innovations Research Center, Faculty of Applied Science,Department of Mathematics,Bangkok,Thailand","institution_ids":["https://openalex.org/I82828225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068798343"],"corresponding_institution_ids":["https://openalex.org/I4210090662"],"apc_list":null,"apc_paid":null,"fwci":0.302,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53472856,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9739999771118164,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.967199981212616,"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/activity-recognition","display_name":"Activity recognition","score":0.8804157972335815},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7466660737991333},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.734100341796875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6948968172073364},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6945408582687378},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.6284973621368408},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6223694682121277},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6205001473426819},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5745807886123657},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.5287703275680542},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46334370970726013},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4227873980998993},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12781953811645508},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.07943263649940491}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.8804157972335815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7466660737991333},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.734100341796875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6948968172073364},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6945408582687378},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6284973621368408},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6223694682121277},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6205001473426819},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5745807886123657},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.5287703275680542},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46334370970726013},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4227873980998993},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12781953811645508},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.07943263649940491},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jcsse54890.2022.9836239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcsse54890.2022.9836239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3954527670","display_name":null,"funder_award_id":"KMUTNB-FF-66-07","funder_id":"https://openalex.org/F4320324344","funder_display_name":"King Mongkut's University of Technology North Bangkok"},{"id":"https://openalex.org/G8132594228","display_name":null,"funder_award_id":"FF65-RIM041","funder_id":"https://openalex.org/F4320326818","funder_display_name":"University of Phayao"}],"funders":[{"id":"https://openalex.org/F4320324344","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97"},{"id":"https://openalex.org/F4320326818","display_name":"University of Phayao","ror":"https://ror.org/00a5mh069"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2086509056","https://openalex.org/W2342792048","https://openalex.org/W2549139847","https://openalex.org/W2577415454","https://openalex.org/W2734548032","https://openalex.org/W2748923651","https://openalex.org/W2770106921","https://openalex.org/W2945695009","https://openalex.org/W3013964275","https://openalex.org/W3103757520","https://openalex.org/W3132550222","https://openalex.org/W3182319652","https://openalex.org/W4224285064","https://openalex.org/W4226284516","https://openalex.org/W4230034369","https://openalex.org/W4285180754","https://openalex.org/W4285211081","https://openalex.org/W6775310956"],"related_works":["https://openalex.org/W2356006086","https://openalex.org/W2545168295","https://openalex.org/W1973973903","https://openalex.org/W2365897603","https://openalex.org/W4234814094","https://openalex.org/W2156308897","https://openalex.org/W3195533899","https://openalex.org/W3208523813","https://openalex.org/W4287084017","https://openalex.org/W3179745820"],"abstract_inverted_index":{"Due":[0],"to":[1,66,90,108,136],"the":[2,81,117,177,191,195],"breadth":[3],"of":[4,16,26,52,74,84],"its":[5,122],"application":[6],"domains,":[7],"Hu-man":[8],"Activity":[9,148],"Recognition":[10],"(HAR)":[11],"is":[12,63,115,198],"a":[13,98,141],"problematic":[14],"area":[15],"human-computer":[17],"interaction.":[18],"HAR":[19,38,62,143],"can":[20],"be":[21],"used":[22],"in":[23,32,49,163],"remote":[24],"monitoring":[25],"senior":[27],"healthcare":[28],"and":[29,68,130,134,161,170,188],"concern":[30],"situations":[31],"intelligent":[33],"man-ufacturing,":[34],"among":[35],"other":[36,181,202],"applications.":[37],"based":[39],"on":[40],"wearable":[41],"inertial":[42],"sensors":[43,158],"has":[44],"been":[45],"researched":[46],"identification":[47,110],"efficiency":[48],"various":[50],"kinds":[51],"human":[53,94],"actions":[54],"considerably":[55],"more":[56,199],"than":[57,201],"vision-based":[58],"HAR.":[59],"The":[60,112,172],"sensor-based":[61],"generally":[64],"applicable":[65],"indoor":[67],"outdoor":[69],"locations":[70],"without":[71],"privacy":[72],"considerations":[73],"implementation.":[75],"In":[76],"this":[77],"research,":[78],"we":[79],"explore":[80],"recognition":[82],"performance":[83],"multiple":[85],"deep":[86,99],"learning":[87],"(DL)":[88],"models":[89,127,184,203],"recognize":[91],"everyday":[92],"living":[93],"activities.":[95],"We":[96],"developed":[97],"residual":[100],"neural":[101],"network":[102],"that":[103,176,194],"employed":[104],"aggregated":[105],"multi-branch":[106],"transformation":[107],"boost":[109],"performance.":[111],"proposed":[113,138,178],"model":[114,139,179,197],"called":[116,145],"ResNeXt":[118,196],"model.":[119],"To":[120],"evaluate":[121],"performance,":[123],"three":[124,164],"standard":[125,142],"DL":[126,183],"(CNN,":[128],"LSTM,":[129],"CNN-LSTM)":[131],"are":[132],"investigated":[133],"compared":[135],"our":[137],"using":[140],"dataset":[144],"Daily":[146],"Living":[147],"dataset.":[149],"These":[150],"datasets":[151],"gathered":[152],"mobility":[153],"signal":[154],"data":[155],"from":[156],"multimodal":[157],"(accelerometer,":[159],"gyroscope,":[160],"magnetometer)":[162],"distinct":[165],"body":[166],"areas":[167],"(wrist,":[168],"hip,":[169],"ankle).":[171],"experimental":[173],"findings":[174,192],"reveal":[175],"surpasses":[180],"benchmark":[182],"with":[185,204],"maximum":[186],"accuracy":[187],"F1-scores.":[189],"Furthermore,":[190],"show":[193],"resistant":[200],"fewer":[205],"training":[206],"parameters.":[207]},"counts_by_year":[{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
