{"id":"https://openalex.org/W2898126708","doi":"https://doi.org/10.1007/978-3-030-12939-2_21","title":"Context-driven Multi-stream LSTM (M-LSTM) for Recognizing Fine-Grained Activity of Drivers","display_name":"Context-driven Multi-stream LSTM (M-LSTM) for Recognizing Fine-Grained Activity of Drivers","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2898126708","doi":"https://doi.org/10.1007/978-3-030-12939-2_21","mag":"2898126708"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-12939-2_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-12939-2_21","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5057980050","display_name":"Ardhendu Behera","orcid":"https://orcid.org/0000-0003-0276-9000"},"institutions":[{"id":"https://openalex.org/I165525304","display_name":"Edge Hill University","ror":"https://ror.org/028ndzd53","country_code":"GB","type":"education","lineage":["https://openalex.org/I165525304"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ardhendu Behera","raw_affiliation_strings":["Department of Computer Science, Edge Hill University, Ormskirk, L39 4QP, UK"],"raw_orcid":"https://orcid.org/0000-0003-0276-9000","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Edge Hill University, Ormskirk, L39 4QP, UK","institution_ids":["https://openalex.org/I165525304"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011655264","display_name":"Alexander Keidel","orcid":"https://orcid.org/0000-0003-2804-602X"},"institutions":[{"id":"https://openalex.org/I165525304","display_name":"Edge Hill University","ror":"https://ror.org/028ndzd53","country_code":"GB","type":"education","lineage":["https://openalex.org/I165525304"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alexander Keidel","raw_affiliation_strings":["Department of Computer Science, Edge Hill University, Ormskirk, L39 4QP, UK"],"raw_orcid":"https://orcid.org/0000-0003-2804-602X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Edge Hill University, Ormskirk, L39 4QP, UK","institution_ids":["https://openalex.org/I165525304"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026549789","display_name":"Bappaditya Debnath","orcid":"https://orcid.org/0000-0002-2026-8632"},"institutions":[{"id":"https://openalex.org/I165525304","display_name":"Edge Hill University","ror":"https://ror.org/028ndzd53","country_code":"GB","type":"education","lineage":["https://openalex.org/I165525304"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bappaditya Debnath","raw_affiliation_strings":["Department of Computer Science, Edge Hill University, Ormskirk, L39 4QP, UK"],"raw_orcid":"https://orcid.org/0000-0002-2026-8632","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Edge Hill University, Ormskirk, L39 4QP, UK","institution_ids":["https://openalex.org/I165525304"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057980050"],"corresponding_institution_ids":["https://openalex.org/I165525304"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":4.355,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.95630069,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"298","last_page":"314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9994999766349792,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9896000027656555,"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":0.9089495539665222},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7068101763725281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6245395541191101},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6183716058731079},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6152231097221375},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5875964760780334},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.49668699502944946},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4805788993835449},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4573061764240265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38439682126045227},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.26732486486434937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9089495539665222},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7068101763725281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6245395541191101},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6183716058731079},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6152231097221375},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5875964760780334},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.49668699502944946},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4805788993835449},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4573061764240265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38439682126045227},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26732486486434937},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/978-3-030-12939-2_21","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-12939-2_21","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:pure.atira.dk:openaire/898d9f3c-8da6-4e87-a905-5623010b574a","is_oa":false,"landing_page_url":"https://research.edgehill.ac.uk/en/publications/898d9f3c-8da6-4e87-a905-5623010b574a","pdf_url":null,"source":{"id":"https://openalex.org/S4306402462","display_name":"Edge Hill University Research Information Repository (Edge Hill University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165525304","host_organization_name":"Edge Hill University","host_organization_lineage":["https://openalex.org/I165525304"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Behera, A, Keidel, A & Debnath, B 2019, 'Context-driven Multi-stream LSTM (M-LSTM) for Recognizing Fine-Grained Activity of Drivers', Lecture Notes in Computer Sciences (LNCS) - Pattern Recognition, pp. 298-314. https://doi.org/10.1007/978-3-030-12939-2_21","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/898d9f3c-8da6-4e87-a905-5623010b574a","is_oa":false,"landing_page_url":"https://link.springer.com/chapter/10.1007/978-3-030-12939-2_21","pdf_url":null,"source":{"id":"https://openalex.org/S4306402462","display_name":"Edge Hill University Research Information Repository (Edge Hill University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165525304","host_organization_name":"Edge Hill University","host_organization_lineage":["https://openalex.org/I165525304"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Behera, A, Keidel, A & Debnath, B 2019, 'Context-driven Multi-stream LSTM (M-LSTM) for Recognizing Fine-Grained Activity of Drivers', Lecture Notes in Computer Sciences (LNCS) - Pattern Recognition, pp. 298-314. https://doi.org/10.1007/978-3-030-12939-2_21","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:repository.edgehill.ac.uk:10782","is_oa":false,"landing_page_url":"http://repository.edgehill.ac.uk/10782/1/0050.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4406922844","display_name":"Edge Hill University Research Archive","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W581956982","https://openalex.org/W874179280","https://openalex.org/W1485009520","https://openalex.org/W1606539861","https://openalex.org/W1686810756","https://openalex.org/W1852290376","https://openalex.org/W1923404803","https://openalex.org/W1940585053","https://openalex.org/W1944615693","https://openalex.org/W1983705368","https://openalex.org/W1995629503","https://openalex.org/W2003543060","https://openalex.org/W2010399676","https://openalex.org/W2019660985","https://openalex.org/W2062118960","https://openalex.org/W2068611653","https://openalex.org/W2100916003","https://openalex.org/W2106833577","https://openalex.org/W2117539524","https://openalex.org/W2119799051","https://openalex.org/W2142194269","https://openalex.org/W2149276562","https://openalex.org/W2149933564","https://openalex.org/W2162508706","https://openalex.org/W2172717914","https://openalex.org/W2339186457","https://openalex.org/W2339712187","https://openalex.org/W2342662179","https://openalex.org/W2461621749","https://openalex.org/W2508429489","https://openalex.org/W2533503513","https://openalex.org/W2557728737","https://openalex.org/W2559085405","https://openalex.org/W2578257192","https://openalex.org/W2601361962","https://openalex.org/W2733839197","https://openalex.org/W2752386593","https://openalex.org/W2963218601","https://openalex.org/W4242105582","https://openalex.org/W6604662147"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3183901164","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W4206357785","https://openalex.org/W3192840557","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3167935049"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}