{"id":"https://openalex.org/W4389724555","doi":"https://doi.org/10.1109/iotais60147.2023.10346056","title":"Accurate Classification of Sport Activities Under Tiny Deployability Constraints","display_name":"Accurate Classification of Sport Activities Under Tiny Deployability Constraints","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389724555","doi":"https://doi.org/10.1109/iotais60147.2023.10346056"},"language":"en","primary_location":{"id":"doi:10.1109/iotais60147.2023.10346056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotais60147.2023.10346056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","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/A5027506735","display_name":"Armin Mazinani","orcid":"https://orcid.org/0000-0001-9192-7722"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Armin Mazinani","raw_affiliation_strings":["University of Parma,Internet of Things (loT) Lab,Parma,Italy","Internet of Things (loT) Lab, University of Parma, Parma, Italy"],"affiliations":[{"raw_affiliation_string":"University of Parma,Internet of Things (loT) Lab,Parma,Italy","institution_ids":["https://openalex.org/I124601658"]},{"raw_affiliation_string":"Internet of Things (loT) Lab, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042850397","display_name":"Luca Davoli","orcid":"https://orcid.org/0000-0002-4396-8885"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Davoli","raw_affiliation_strings":["University of Parma,Internet of Things (loT) Lab,Parma,Italy","Internet of Things (loT) Lab, University of Parma, Parma, Italy"],"affiliations":[{"raw_affiliation_string":"University of Parma,Internet of Things (loT) Lab,Parma,Italy","institution_ids":["https://openalex.org/I124601658"]},{"raw_affiliation_string":"Internet of Things (loT) Lab, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036123913","display_name":"Danilo Pau","orcid":"https://orcid.org/0000-0003-1585-2313"},"institutions":[{"id":"https://openalex.org/I4210154781","display_name":"STMicroelectronics (Italy)","ror":"https://ror.org/053bqv655","country_code":"IT","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210154781"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Danilo Pietro Pau","raw_affiliation_strings":["STMicroelectronics Agrate,Brianza,Italy","STMicroelectronics Agrate, Brianza, Italy"],"affiliations":[{"raw_affiliation_string":"STMicroelectronics Agrate,Brianza,Italy","institution_ids":["https://openalex.org/I4210154781"]},{"raw_affiliation_string":"STMicroelectronics Agrate, Brianza, Italy","institution_ids":["https://openalex.org/I4210154781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021962518","display_name":"Gianluigi Ferrari","orcid":"https://orcid.org/0000-0001-6688-0934"},"institutions":[{"id":"https://openalex.org/I124601658","display_name":"University of Parma","ror":"https://ror.org/02k7wn190","country_code":"IT","type":"education","lineage":["https://openalex.org/I124601658"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianluigi Ferrari","raw_affiliation_strings":["University of Parma,Internet of Things (loT) Lab,Parma,Italy","Internet of Things (loT) Lab, University of Parma, Parma, Italy"],"affiliations":[{"raw_affiliation_string":"University of Parma,Internet of Things (loT) Lab,Parma,Italy","institution_ids":["https://openalex.org/I124601658"]},{"raw_affiliation_string":"Internet of Things (loT) Lab, University of Parma, Parma, Italy","institution_ids":["https://openalex.org/I124601658"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027506735"],"corresponding_institution_ids":["https://openalex.org/I124601658"],"apc_list":null,"apc_paid":null,"fwci":0.369,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61647867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"261","last_page":"267"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9975000023841858,"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":0.9975000023841858,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9843000173568726,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5414422154426575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3730526566505432}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5414422154426575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3730526566505432}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iotais60147.2023.10346056","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotais60147.2023.10346056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2270470215","https://openalex.org/W2774090517","https://openalex.org/W2901713071","https://openalex.org/W2970783931","https://openalex.org/W2972317743","https://openalex.org/W2973099934","https://openalex.org/W2998467809","https://openalex.org/W3011149747","https://openalex.org/W3017181332","https://openalex.org/W3045078359","https://openalex.org/W3046832736","https://openalex.org/W3049184217","https://openalex.org/W3107324520","https://openalex.org/W3112843145","https://openalex.org/W3127611662","https://openalex.org/W3135028703","https://openalex.org/W3164845984","https://openalex.org/W3185889262","https://openalex.org/W3216463631","https://openalex.org/W4313458650","https://openalex.org/W4321599512","https://openalex.org/W6767368257","https://openalex.org/W6907196365"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Human":[0],"Activity":[1],"Recognition":[2],"(HAR)":[3],"plays":[4],"a":[5,40,50,92],"prominent":[6],"role":[7],"in":[8],"various":[9],"domains,":[10],"such":[11],"as":[12],"healthcare,":[13],"surveillance,":[14],"and":[15,78],"sports.":[16],"In":[17],"this":[18],"paper,":[19],"our":[20],"goal":[21],"is":[22,62,89],"to":[23,69,103],"identify":[24],"the":[25,47,63,79,104],"most":[26,64],"accurate":[27],"Deep":[28],"Learning":[29],"(DL)":[30],"algorithm":[31,87],"under":[32],"tiny":[33],"deployability":[34],"constraints.":[35],"Our":[36],"results":[37],"show":[38],"that":[39,115],"Recurrent":[41,59,75],"Neural":[42,53],"Network":[43,54],"(RNN)":[44],"given":[45],"by":[46],"combination":[48],"of":[49,97,114,116],"one-dimensional":[51],"Convolutional":[52],"(ID-CNN)":[55],"with":[56,67,120,123],"Bi-directional":[57],"Gated":[58,74],"Unit":[60,76,84],"(Bi-GRU)":[61],"attractive":[65],"solution,":[66],"respect":[68],"Long":[70],"Short-Term":[71],"Memory":[72,83],"(LSTM),":[73],"(GRU),":[77],"recently":[80],"introduced":[81],"Legendre":[82],"(LMU).":[85],"The":[86],"performance":[88],"investigated":[90],"over":[91],"publicly":[93],"available":[94],"dataset":[95],"consisting":[96],"19":[98],"different":[99],"daily":[100],"activities.":[101],"According":[102],"obtained":[105],"results,":[106],"1D-CNN-BiGRU":[107],"has":[108],"an":[109,124],"average":[110],"accuracy":[111],"within":[112],"0.2%":[113],"BiGRU":[117],"(the":[118],"RNN":[119],"highest":[121],"accuracy)":[122],"execution":[125],"time":[126],"more":[127],"than":[128],"4":[129],"times":[130],"shorter.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}