{"id":"https://openalex.org/W3001603467","doi":"https://doi.org/10.1109/icecs46596.2019.8964885","title":"Dilated Temporal Convolutional Neural Network Architecture with Independent Component Layer for Human Activity Recognition","display_name":"Dilated Temporal Convolutional Neural Network Architecture with Independent Component Layer for Human Activity Recognition","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3001603467","doi":"https://doi.org/10.1109/icecs46596.2019.8964885","mag":"3001603467"},"language":"en","primary_location":{"id":"doi:10.1109/icecs46596.2019.8964885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs46596.2019.8964885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","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/A5013720155","display_name":"Matthew K. Ward","orcid":"https://orcid.org/0000-0002-3426-0244"},"institutions":[{"id":"https://openalex.org/I161515732","display_name":"University of St. Thomas - Minnesota","ror":"https://ror.org/05vfxvp80","country_code":"US","type":"education","lineage":["https://openalex.org/I161515732"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Ward","raw_affiliation_strings":["University of St. Thomas,Department of Electrical and Computer Engineering,St. Paul,MN,USA","University of St. Thomas, St. Paul, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of St. Thomas,Department of Electrical and Computer Engineering,St. Paul,MN,USA","institution_ids":["https://openalex.org/I161515732"]},{"raw_affiliation_string":"University of St. Thomas, St. Paul, MN, USA","institution_ids":["https://openalex.org/I161515732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112570377","display_name":"Cheol-Hong Min","orcid":"https://orcid.org/0009-0007-1495-2976"},"institutions":[{"id":"https://openalex.org/I161515732","display_name":"University of St. Thomas - Minnesota","ror":"https://ror.org/05vfxvp80","country_code":"US","type":"education","lineage":["https://openalex.org/I161515732"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheol-Hong Min","raw_affiliation_strings":["University of St. Thomas,Department of Electrical and Computer Engineering,St. Paul,MN,USA","University of St. Thomas, St. Paul, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of St. Thomas,Department of Electrical and Computer Engineering,St. Paul,MN,USA","institution_ids":["https://openalex.org/I161515732"]},{"raw_affiliation_string":"University of St. Thomas, St. Paul, MN, USA","institution_ids":["https://openalex.org/I161515732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005484411","display_name":"Hassan Salamy","orcid":"https://orcid.org/0000-0003-1314-1702"},"institutions":[{"id":"https://openalex.org/I161515732","display_name":"University of St. Thomas - Minnesota","ror":"https://ror.org/05vfxvp80","country_code":"US","type":"education","lineage":["https://openalex.org/I161515732"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hassan Salamy","raw_affiliation_strings":["University of St. Thomas,Department of Electrical and Computer Engineering,St. Paul,MN,USA","University of St. Thomas, St. Paul, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of St. Thomas,Department of Electrical and Computer Engineering,St. Paul,MN,USA","institution_ids":["https://openalex.org/I161515732"]},{"raw_affiliation_string":"University of St. Thomas, St. Paul, MN, USA","institution_ids":["https://openalex.org/I161515732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084404179","display_name":"Kundan Nepal","orcid":"https://orcid.org/0000-0002-4215-3393"},"institutions":[{"id":"https://openalex.org/I161515732","display_name":"University of St. Thomas - Minnesota","ror":"https://ror.org/05vfxvp80","country_code":"US","type":"education","lineage":["https://openalex.org/I161515732"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kundan Nepal","raw_affiliation_strings":["University of St. Thomas,Department of Electrical and Computer Engineering,St. Paul,MN,USA","University of St. Thomas, St. Paul, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of St. Thomas,Department of Electrical and Computer Engineering,St. Paul,MN,USA","institution_ids":["https://openalex.org/I161515732"]},{"raw_affiliation_string":"University of St. Thomas, St. Paul, MN, USA","institution_ids":["https://openalex.org/I161515732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I161515732"],"apc_list":null,"apc_paid":null,"fwci":0.3047,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62637778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"49","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.991599977016449,"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":0.9789999723434448,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.802405595779419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7963025569915771},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.7010636925697327},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6766209602355957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5609132647514343},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.516135573387146},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49273040890693665},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4669678509235382},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45959198474884033},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3741611838340759}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.802405595779419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7963025569915771},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.7010636925697327},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6766209602355957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5609132647514343},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.516135573387146},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49273040890693665},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4669678509235382},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45959198474884033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3741611838340759},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecs46596.2019.8964885","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs46596.2019.8964885","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2014161209","https://openalex.org/W2054780155","https://openalex.org/W2061376642","https://openalex.org/W2159295584","https://openalex.org/W2945313542","https://openalex.org/W2962734576","https://openalex.org/W3143471131","https://openalex.org/W4288356534","https://openalex.org/W4297797035"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2009888974","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W3023105672","https://openalex.org/W2355539379","https://openalex.org/W4231410700","https://openalex.org/W4237770763","https://openalex.org/W2706752825"],"abstract_inverted_index":{"A":[0],"system":[1,56,80],"using":[2,95],"Convolutional":[3,64],"Neural":[4,65],"Network":[5,66],"was":[6],"developed":[7],"for":[8],"Human":[9],"Activity":[10],"Recognition":[11],"(HAR)":[12],"application.":[13],"The":[14,54,78],"proposed":[15,55,79,112],"method":[16,102],"uses":[17,61],"the":[18,22,59,105,111,116],"algorithm":[19,117],"to":[20,39,49,73,84,109,118],"detect":[21,74],"daily":[23,34,75],"activities":[24,36],"of":[25,90],"people":[26,41],"with":[27,42,68],"cognitive":[28,43],"disabilities.":[29],"As":[30],"an":[31],"initial":[32],"application,":[33],"hygienic":[35,76],"were":[37],"monitored":[38],"assist":[40],"disabilities":[44],"who":[45],"often":[46],"need":[47],"prompts":[48],"start":[50],"and":[51],"finish":[52],"activities.":[53,77],"discussed":[57],"in":[58],"paper":[60],"Dilated":[62],"Temporal":[63],"Architecture":[67],"Independent":[69],"Component":[70],"Layers":[71],"(DT-CNN-IC)":[72],"can":[81,103],"be":[82,119],"trained":[83],"obtain":[85],"high":[86],"average":[87],"classification":[88],"accuracy":[89],"92.66":[91],"percent":[92],"from":[93],"only":[94],"a":[96],"single":[97],"channel":[98],"accelerometer":[99],"information.":[100],"This":[101],"reduce":[104],"necessary":[106],"computational":[107],"resources":[108],"train":[110],"neural":[113],"network":[114],"allowing":[115],"implemented":[120],"on":[121],"low-cost":[122],"platforms.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}