{"id":"https://openalex.org/W3047170760","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156264","title":"A Comparison of Unidirectional and Bidirectional LSTM Networks for Human Activity Recognition","display_name":"A Comparison of Unidirectional and Bidirectional LSTM Networks for Human Activity Recognition","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3047170760","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156264","mag":"3047170760"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops48775.2020.9156264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","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/A5016811177","display_name":"Luay Alawneh","orcid":"https://orcid.org/0000-0002-5152-8636"},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":true,"raw_author_name":"Luay Alawneh","raw_affiliation_strings":["Jordan University of Science & Technology"],"affiliations":[{"raw_affiliation_string":"Jordan University of Science & Technology","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023119895","display_name":"Belal Mohsen","orcid":null},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Belal Mohsen","raw_affiliation_strings":["Jordan University of Science & Technology"],"affiliations":[{"raw_affiliation_string":"Jordan University of Science & Technology","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038082238","display_name":"Mohammad Al-Zinati","orcid":"https://orcid.org/0000-0003-2221-5515"},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Mohammad Al-Zinati","raw_affiliation_strings":["Jordan University of Science & Technology"],"affiliations":[{"raw_affiliation_string":"Jordan University of Science & Technology","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017927386","display_name":"Ahmed S. Shatnawi","orcid":"https://orcid.org/0000-0002-6239-3298"},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Ahmed Shatnawi","raw_affiliation_strings":["Jordan University of Science & Technology"],"affiliations":[{"raw_affiliation_string":"Jordan University of Science & Technology","institution_ids":["https://openalex.org/I156983542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073474306","display_name":"Mahmoud Al\u2010Ayyoub","orcid":"https://orcid.org/0000-0001-9372-9076"},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Mahmoud Al-Ayyoub","raw_affiliation_strings":["Jordan University of Science & Technology"],"affiliations":[{"raw_affiliation_string":"Jordan University of Science & Technology","institution_ids":["https://openalex.org/I156983542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016811177"],"corresponding_institution_ids":["https://openalex.org/I156983542"],"apc_list":null,"apc_paid":null,"fwci":2.5402,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.91313773,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987999796867371,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8365154266357422},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7599337100982666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6792219281196594},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6420630216598511},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.6310402154922485},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6269788146018982},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.5856872200965881},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5213690400123596},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49782586097717285},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.48417145013809204},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46365293860435486},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4536074101924896},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.41894158720970154},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.4159961938858032}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8365154266357422},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7599337100982666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6792219281196594},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6420630216598511},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.6310402154922485},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6269788146018982},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.5856872200965881},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5213690400123596},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49782586097717285},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.48417145013809204},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46365293860435486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4536074101924896},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.41894158720970154},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.4159961938858032},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomworkshops48775.2020.9156264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W846669277","https://openalex.org/W1522301498","https://openalex.org/W1923404803","https://openalex.org/W1924770834","https://openalex.org/W1973058638","https://openalex.org/W2003792585","https://openalex.org/W2012557818","https://openalex.org/W2017634428","https://openalex.org/W2035877237","https://openalex.org/W2045257928","https://openalex.org/W2064675550","https://openalex.org/W2095705004","https://openalex.org/W2122585011","https://openalex.org/W2136922672","https://openalex.org/W2157331557","https://openalex.org/W2163922914","https://openalex.org/W2387843324","https://openalex.org/W2405622356","https://openalex.org/W2548137270","https://openalex.org/W2563686712","https://openalex.org/W2609211153","https://openalex.org/W2623595444","https://openalex.org/W2736191430","https://openalex.org/W2763079654","https://openalex.org/W2766405313","https://openalex.org/W2770265759","https://openalex.org/W2783323081","https://openalex.org/W2952633237","https://openalex.org/W2964121744","https://openalex.org/W2964241990","https://openalex.org/W3125210009","https://openalex.org/W4285719527","https://openalex.org/W6631190155","https://openalex.org/W6640212811","https://openalex.org/W6674330103","https://openalex.org/W6680145277","https://openalex.org/W6713452507","https://openalex.org/W6741853903","https://openalex.org/W6764521441"],"related_works":["https://openalex.org/W2912153778","https://openalex.org/W4387163678","https://openalex.org/W4288108708","https://openalex.org/W2109916967","https://openalex.org/W2973430807","https://openalex.org/W4385280324","https://openalex.org/W2984436043","https://openalex.org/W4390245176","https://openalex.org/W2912831041","https://openalex.org/W2890685186"],"abstract_inverted_index":{"Human":[0],"activity":[1,78],"recognition":[2,79,108],"targets":[3],"identifying":[4],"different":[5,92],"classes":[6],"of":[7,16,32,55,81],"human":[8,33,77],"movements":[9],"using":[10,35],"data":[11,58],"gathered":[12],"from":[13],"various":[14],"types":[15],"sensors.":[17],"Deep":[18],"learning":[19],"approaches,":[20],"such":[21],"as":[22],"Recurrent":[23],"Neural":[24],"Networks,":[25],"are":[26],"gaining":[27],"interest":[28],"in":[29],"the":[30,53,62,66,76,82,102,107,111,115,122],"classification":[31,54],"activities":[34],"time":[36,56,120],"series":[37,57],"data.":[38,97],"Long-Short":[39,86],"Term":[40,87],"Memory":[41,88],"is":[42,49],"a":[43],"recurrent":[44],"neural":[45],"network":[46],"approach":[47,104,117],"that":[48,94,101],"well":[50],"suited":[51],"for":[52],"where":[59],"it":[60],"handles":[61],"vanishing":[63],"gradient":[64],"and":[65,84],"long-term":[67],"dependency":[68],"problems":[69],"efficiently.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74],"compare":[75],"accuracy":[80],"unidirectional":[83,112],"bidirectional":[85,103,116],"models":[89],"on":[90,129],"two":[91],"datasets":[93],"represent":[95],"accelerometer":[96],"The":[98],"results":[99],"show":[100],"slightly":[105],"enhances":[106],"quality":[109],"over":[110],"approach.":[113],"However,":[114],"spends":[118],"more":[119],"during":[121],"training,":[123],"which":[124],"may":[125],"hinder":[126],"its":[127],"applicability":[128],"large":[130],"datasets.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
