{"id":"https://openalex.org/W2945938778","doi":"https://doi.org/10.1109/comsnets.2019.8711147","title":"Activity Recognition through Feature Learning and Annotations using LSTM","display_name":"Activity Recognition through Feature Learning and Annotations using LSTM","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2945938778","doi":"https://doi.org/10.1109/comsnets.2019.8711147","mag":"2945938778"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets.2019.8711147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets.2019.8711147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Conference on Communication Systems & Networks (COMSNETS)","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/A5058735995","display_name":"Nilotpola Sarma","orcid":"https://orcid.org/0000-0002-8434-3574"},"institutions":[{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nilotpola Sarma","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Information Technology Guwahati, Guwahati, Assam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Information Technology Guwahati, Guwahati, Assam, India","institution_ids":["https://openalex.org/I4210089896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043162404","display_name":"Suchetana Chakraborty","orcid":"https://orcid.org/0000-0001-9856-0687"},"institutions":[{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suchetana Chakraborty","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Information Technology Guwahati, Guwahati, Assam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Information Technology Guwahati, Guwahati, Assam, India","institution_ids":["https://openalex.org/I4210089896"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002481103","display_name":"Dip Sankar Banerjee","orcid":"https://orcid.org/0000-0002-0476-1224"},"institutions":[{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dip Sankar Banerjee","raw_affiliation_strings":["Department of Computer Science and Engineering, Indian Institute of Information Technology Guwahati, Guwahati, Assam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Indian Institute of Information Technology Guwahati, Guwahati, Assam, India","institution_ids":["https://openalex.org/I4210089896"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210089896"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"444","last_page":"447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":1.0,"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":1.0,"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":0.9656000137329102,"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":0.9595999717712402,"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/computer-science","display_name":"Computer science","score":0.8400570154190063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7141828536987305},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7016857266426086},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.610352098941803},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.597916305065155},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5552291870117188},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5159878730773926},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4938850998878479},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.47433680295944214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36302125453948975},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2900729179382324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8400570154190063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7141828536987305},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7016857266426086},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.610352098941803},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.597916305065155},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5552291870117188},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5159878730773926},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4938850998878479},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47433680295944214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36302125453948975},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2900729179382324},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets.2019.8711147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets.2019.8711147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 11th International Conference on Communication Systems & Networks (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309913","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1815076433","https://openalex.org/W2021361613","https://openalex.org/W2059732136","https://openalex.org/W2064675550","https://openalex.org/W2521844958","https://openalex.org/W2789868604","https://openalex.org/W2809882211","https://openalex.org/W2963855167","https://openalex.org/W6638545294","https://openalex.org/W6704286305"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4225394202","https://openalex.org/W3008584592"],"abstract_inverted_index":{"The":[0],"tremendous":[1],"growth":[2],"in":[3,26,38,119],"ubiquitous":[4],"sensor":[5],"networks":[6,47],"and":[7,42,75,103,114],"IoT":[8],"has":[9],"led":[10],"to":[11,17,31,100,112,136],"Human":[12],"Activity":[13],"Recognition":[14],"(HAR)":[15],"emerging":[16],"be":[18,32],"an":[19],"exciting":[20],"challenge.":[21],"Machine":[22],"learning":[23],"approaches":[24],"proposed":[25],"this":[27,57],"direction":[28],"have":[29],"proved":[30],"competent":[33],"solutions.":[34,145],"HAR":[35],"data":[36,61],"treatment":[37],"a":[39,64,71,80],"recurrent":[40],"form,":[41],"further":[43],"analysis":[44],"using":[45,79,126],"deep":[46],"such":[48],"as":[49,70],"RNNs":[50],"or":[51],"LSTM":[52,83,99],"is":[53,139],"largely":[54],"unexplored.":[55],"In":[56],"work,":[58],"we":[59,107,129],"treat":[60],"generated":[62],"from":[63,92],"smart":[65],"home":[66],"setup":[67],"towards":[68],"HRA,":[69],"series":[72],"of":[73,85,134],"events":[74],"perform":[76,104],"feature":[77],"extraction":[78],"the":[81,89,93,116,120],"popular":[82],"variant":[84],"LSTMs.":[86],"We":[87,97],"use":[88],"Aruba":[90],"dataset":[91],"CASAS":[94],"project":[95],"[2].":[96],"apply":[98,108],"extract":[101],"features":[102],"annotations.":[105],"Additionally":[106],"standard":[109],"classification":[110],"techniques":[111],"recognize":[113],"evaluate":[115],"different":[117],"activities":[118],"newly":[121],"annotated":[122],"data.":[123],"From":[124],"experimentations":[125],"our":[127],"method":[128],"can":[130],"achieve":[131],"annotation":[132],"accuracies":[133],"up":[135],"79.5%":[137],"which":[138],"13.6%":[140],"better":[141],"than":[142],"other":[143],"state-of-the-art":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}