{"id":"https://openalex.org/W4308083354","doi":"https://doi.org/10.1109/mapr56351.2022.9924794","title":"Human action recognition from inertial sensors with Transformer","display_name":"Human action recognition from inertial sensors with Transformer","publication_year":2022,"publication_date":"2022-10-01","ids":{"openalex":"https://openalex.org/W4308083354","doi":"https://doi.org/10.1109/mapr56351.2022.9924794"},"language":"en","primary_location":{"id":"doi:10.1109/mapr56351.2022.9924794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mapr56351.2022.9924794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101667554","display_name":"Trung-Hieu Le","orcid":"https://orcid.org/0000-0001-6323-6959"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Trung-Hieu Le","raw_affiliation_strings":["Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Hanoi,Vietnam","Dainam University, Hanoi, Vietnam","School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"Dainam University, Hanoi, Vietnam","institution_ids":[]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101724817","display_name":"Thanh-Hai Tran","orcid":"https://orcid.org/0000-0003-3133-3361"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thanh-Hai Tran","raw_affiliation_strings":["Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Hanoi,Vietnam","School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Hanoi,Vietnam","institution_ids":["https://openalex.org/I94518387"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108823705","display_name":"Cuong Pham","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cuong Pham","raw_affiliation_strings":["Posts and Telecom Institute of Technology,Department of Computer Science,Hanoi,Vietnam","Department of Computer Science, Posts and Telecom Institute of Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Posts and Telecom Institute of Technology,Department of Computer Science,Hanoi,Vietnam","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, Posts and Telecom Institute of Technology, Hanoi, Vietnam","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1849,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52026432,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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":0.9980000257492065,"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/computer-science","display_name":"Computer science","score":0.7396241426467896},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.7216627597808838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6140683889389038},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5735435485839844},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5489674806594849},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.547207236289978},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.501734733581543},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5006146430969238},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4993093013763428},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.43483391404151917},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43037810921669006},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3709210157394409},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34366583824157715},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13683360815048218}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7396241426467896},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7216627597808838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6140683889389038},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5735435485839844},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5489674806594849},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.547207236289978},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.501734733581543},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5006146430969238},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4993093013763428},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.43483391404151917},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43037810921669006},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3709210157394409},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34366583824157715},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13683360815048218},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mapr56351.2022.9924794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mapr56351.2022.9924794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7699999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2096680959","https://openalex.org/W2105046342","https://openalex.org/W2259263553","https://openalex.org/W2261486195","https://openalex.org/W2319522456","https://openalex.org/W2794261899","https://openalex.org/W2899217907","https://openalex.org/W2899372133","https://openalex.org/W2902643474","https://openalex.org/W2912533238","https://openalex.org/W2954510355","https://openalex.org/W2963855167","https://openalex.org/W3026863179","https://openalex.org/W3028031870","https://openalex.org/W3037210821","https://openalex.org/W3080359515","https://openalex.org/W3086906017","https://openalex.org/W3087079623","https://openalex.org/W3110656833","https://openalex.org/W3151130473","https://openalex.org/W3156725333","https://openalex.org/W3158057761","https://openalex.org/W3166187222","https://openalex.org/W4206703604","https://openalex.org/W4207050394","https://openalex.org/W4214612132","https://openalex.org/W4214843096","https://openalex.org/W4385245566","https://openalex.org/W6692982696","https://openalex.org/W6704286305","https://openalex.org/W6728817311","https://openalex.org/W6739901393","https://openalex.org/W6780226713"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735","https://openalex.org/W1975325338"],"abstract_inverted_index":{"Human":[0],"action":[1],"recognition":[2],"is":[3,60,142,157],"an":[4],"attractive":[5],"research":[6],"topic":[7],"because":[8],"it":[9,86],"opens":[10],"many":[11],"practical":[12],"applications":[13],"such":[14],"as":[15],"healthcare,":[16],"entertainment":[17],"or":[18],"robot":[19],"interaction.":[20],"Hand":[21],"gestures":[22],"in":[23,71,96,134],"particular":[24],"are":[25],"becoming":[26],"one":[27],"of":[28,33,64,91,98,148,167],"the":[29,53,72,89,106,121,132,135,139,149,155,165],"most":[30],"convenient":[31],"means":[32],"communication":[34],"between":[35,77],"humans":[36],"and":[37,57,101,116,118],"machines.":[38],"In":[39],"this":[40],"study,":[41],"transformer":[42,73,168],"model":[43],"-":[44],"a":[45,84],"deep":[46],"learning":[47],"neural":[48,94],"network":[49],"developed":[50],"primarily":[51],"for":[52,62,170],"natural":[54],"language":[55],"processing":[56],"vision":[58],"tasks,":[59],"investigated":[61],"analysis":[63],"time-series":[65],"signals.":[66],"The":[67,162],"self-attention":[68],"mechanism":[69],"inherent":[70],"expresses":[74],"individual":[75],"dependencies":[76],"signal":[78],"values":[79],"within":[80],"time":[81],"series.":[82],"As":[83],"result,":[85],"can":[87],"boost":[88],"performance":[90,126],"state-of-the-art":[92],"convolutional":[93],"networks":[95],"terms":[97],"memory":[99],"requirement":[100],"computational":[102],"times.":[103],"We":[104],"evaluate":[105],"proposed":[107,122],"method":[108,123],"on":[109,131],"three":[110],"published":[111],"sensor":[112],"datasets":[113],"(CMDFALL,":[114],"C-MHAD":[115,153],"DaLiAc)":[117],"showed":[119],"that":[120,147],"achieves":[124],"better":[125],"than":[127,146],"conventional":[128,150],"ones,":[129],"specifically":[130],"S3group":[133],"CMDFall":[136],"data":[137],"set,":[138],"F1":[140],"Score":[141],"19.04":[143],"%":[144],"higher":[145],"method.":[151],"On":[152],"dataset,":[154],"accuracy":[156],"up":[158],"to":[159],"99.56":[160],"%.":[161],"results":[163],"confirms":[164],"role":[166],"models":[169],"human":[171],"activity":[172],"recognition.":[173]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}