{"id":"https://openalex.org/W3212572034","doi":"https://doi.org/10.1145/3474124.3474156","title":"The Variegated Applications of Deep Learning Techniques in Human Activity Recognition","display_name":"The Variegated Applications of Deep Learning Techniques in Human Activity Recognition","publication_year":2021,"publication_date":"2021-08-05","ids":{"openalex":"https://openalex.org/W3212572034","doi":"https://doi.org/10.1145/3474124.3474156","mag":"3212572034"},"language":"en","primary_location":{"id":"doi:10.1145/3474124.3474156","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474124.3474156","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Thirteenth International Conference on Contemporary Computing (IC3-2021)","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/A5085056326","display_name":"Gautham Sathish Nambissan","orcid":null},"institutions":[{"id":"https://openalex.org/I887998513","display_name":"Bharati Vidyapeeth Deemed University","ror":"https://ror.org/0052mmx10","country_code":"IN","type":"education","lineage":["https://openalex.org/I887998513"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Gautham Sathish Nambissan","raw_affiliation_strings":["Bharati Vidyapeeth's College of Engineering, India"],"affiliations":[{"raw_affiliation_string":"Bharati Vidyapeeth's College of Engineering, India","institution_ids":["https://openalex.org/I887998513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035400396","display_name":"Prateek Mahajan","orcid":null},"institutions":[{"id":"https://openalex.org/I887998513","display_name":"Bharati Vidyapeeth Deemed University","ror":"https://ror.org/0052mmx10","country_code":"IN","type":"education","lineage":["https://openalex.org/I887998513"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prateek Mahajan","raw_affiliation_strings":["Bharati Vidyapeeth's College of Engineering, India"],"affiliations":[{"raw_affiliation_string":"Bharati Vidyapeeth's College of Engineering, India","institution_ids":["https://openalex.org/I887998513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101434050","display_name":"Shivam Sharma","orcid":"https://orcid.org/0000-0003-4979-7914"},"institutions":[{"id":"https://openalex.org/I887998513","display_name":"Bharati Vidyapeeth Deemed University","ror":"https://ror.org/0052mmx10","country_code":"IN","type":"education","lineage":["https://openalex.org/I887998513"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shivam Sharma","raw_affiliation_strings":["Bharati Vidyapeeth's College of Engineering, India"],"affiliations":[{"raw_affiliation_string":"Bharati Vidyapeeth's College of Engineering, India","institution_ids":["https://openalex.org/I887998513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100605662","display_name":"Neha Gupta","orcid":"https://orcid.org/0000-0003-0905-5457"},"institutions":[{"id":"https://openalex.org/I887998513","display_name":"Bharati Vidyapeeth Deemed University","ror":"https://ror.org/0052mmx10","country_code":"IN","type":"education","lineage":["https://openalex.org/I887998513"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neha Gupta","raw_affiliation_strings":["Bharati Vidyapeeth's College of Engineering, India"],"affiliations":[{"raw_affiliation_string":"Bharati Vidyapeeth's College of Engineering, India","institution_ids":["https://openalex.org/I887998513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085056326"],"corresponding_institution_ids":["https://openalex.org/I887998513"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.56859477,"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":"223","last_page":"233"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9919999837875366,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9890999794006348,"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/deep-learning","display_name":"Deep learning","score":0.8110206127166748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7791972160339355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7335662841796875},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6837344765663147},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6683617234230042},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.43091076612472534},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.351570188999176},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13039591908454895}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8110206127166748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7791972160339355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7335662841796875},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6837344765663147},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6683617234230042},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43091076612472534},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.351570188999176},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13039591908454895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474124.3474156","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474124.3474156","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Thirteenth International Conference on Contemporary Computing (IC3-2021)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4000000059604645,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W293916754","https://openalex.org/W1975995839","https://openalex.org/W2054780155","https://openalex.org/W2072070523","https://openalex.org/W2235034809","https://openalex.org/W2259894667","https://openalex.org/W2296311849","https://openalex.org/W2307770531","https://openalex.org/W2342792048","https://openalex.org/W2507376018","https://openalex.org/W2555209581","https://openalex.org/W2562935526","https://openalex.org/W2736191430","https://openalex.org/W2736743121","https://openalex.org/W2738730524","https://openalex.org/W2754147157","https://openalex.org/W2759690896","https://openalex.org/W2761268027","https://openalex.org/W2767600985","https://openalex.org/W2793919237","https://openalex.org/W2795342689","https://openalex.org/W2799100535","https://openalex.org/W2888680699","https://openalex.org/W2893019778","https://openalex.org/W2893511508","https://openalex.org/W2895360809","https://openalex.org/W2895495973","https://openalex.org/W2897764077","https://openalex.org/W2898697096","https://openalex.org/W2899076796","https://openalex.org/W2901601772","https://openalex.org/W2903711903","https://openalex.org/W2904458035","https://openalex.org/W2906031885","https://openalex.org/W2906824433","https://openalex.org/W2923336951","https://openalex.org/W2946490545","https://openalex.org/W2948777090","https://openalex.org/W2958492098","https://openalex.org/W2962934715","https://openalex.org/W2963434542","https://openalex.org/W2969552585","https://openalex.org/W2971387592","https://openalex.org/W2980950444","https://openalex.org/W2989064674","https://openalex.org/W2995150612","https://openalex.org/W2998376881","https://openalex.org/W2998937016","https://openalex.org/W3003728340","https://openalex.org/W3013964275","https://openalex.org/W3015505405","https://openalex.org/W3026863179","https://openalex.org/W3034435444","https://openalex.org/W3041181596","https://openalex.org/W3046656208","https://openalex.org/W3084545782","https://openalex.org/W3085218293","https://openalex.org/W3103233276","https://openalex.org/W3155622457","https://openalex.org/W3173747377","https://openalex.org/W4214862257","https://openalex.org/W4300925682","https://openalex.org/W4307016517"],"related_works":["https://openalex.org/W3195649134","https://openalex.org/W2281498195","https://openalex.org/W4375867731","https://openalex.org/W2506504620","https://openalex.org/W2017526120","https://openalex.org/W2610664080","https://openalex.org/W2188304107","https://openalex.org/W2611989081","https://openalex.org/W2761510556","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Humans":[0],"are":[1,8,70,184],"vivacious":[2],"and":[3,17,60,80,103,111,147,159,193,211,226],"obstinate":[4],"in":[5,174,180],"that":[6,49],"they":[7],"plagued":[9],"by":[10,36,100,157],"a":[11,22,131],"constant":[12,30],"need":[13],"to":[14,26,42,85,87,115,230],"be":[15,39,76,83,154,217],"motile":[16],"sprightly":[18],"which":[19,69,74],"gives":[20],"us":[21,37],"goldmine":[23],"of":[24,32,48,56,65,68,127,130,187,196,221,236],"data":[25,213],"work":[27],"on.":[28],"This":[29,51,91],"stream":[31],"ever-changing":[33],"activities":[34],"performed":[35],"could":[38,52,75,82],"dissected":[40],"fastidiously":[41],"gain":[43,231],"insight":[44],"into":[45,95],"the":[46,54,96,128,136,167,171,181,185,188,191,194,197,224,233],"specifications":[47],"activity.":[50],"spur":[53],"use":[55,86,129],"IoT,":[57],"automated":[58],"devices":[59],"real-time":[61],"monitoring.":[62],"A":[63,203,219],"variety":[64],"techniques":[66,98],"some":[67],"video":[71,209],"camera":[72],"feeds":[73],"sourced":[77],"from":[78,232],"CCTVS":[79],"sensors,":[81],"put":[84],"efficaciously":[88],"procure":[89],"data.":[90],"paper":[92],"will":[93,120,153,165,216],"delve":[94],"various":[97,101,108,140],"proposed":[99,204],"researchers":[102],"compare":[104],"their":[105],"performance":[106],"on":[107],"deep":[109,141,150,198],"learning":[110,113,142,151,199],"machine":[112],"models":[114,143,200,206],"analyse":[116],"them":[117],"intrinsically.":[118],"We":[119],"also":[121],"showcase":[122],"our":[123],"own":[124],"model":[125,152],"consisting":[126],"3D":[132],"tempo-spatial":[133],"dataset":[134,138],"called":[135],"UCI-HAR":[137],"employing":[139],"like":[144,190],"LSTM,":[145],"SVMs":[146],"more.":[148],"The":[149],"improved":[155],"upon":[156],"architectural":[158],"hyper":[160],"parameter":[161],"improvements.":[162],"Other":[163],"sections":[164],"discuss":[166],"related":[168],"works":[169],"including":[170,223],"datasets":[172],"used":[173],"Human":[175],"Activity":[176],"Recognition.":[177],"Also":[178],"contained":[179],"discussion":[182],"section":[183],"technicalities":[186],"papers":[189],"accuracy":[192],"relevancy":[195],"being":[201],"used.":[202],"hybrid":[205],"using":[207],"both":[208],"feed":[210],"sensor":[212],"for":[214],"recognition":[215,235],"floated.":[218],"panoply":[220],"industries":[222],"health":[225],"defence":[227],"sectors":[228],"stand":[229],"rapid":[234],"human":[237],"activities.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}