{"id":"https://openalex.org/W2965144482","doi":"https://doi.org/10.24963/ijcai.2019/431","title":"AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition","display_name":"AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2965144482","doi":"https://doi.org/10.24963/ijcai.2019/431","mag":"2965144482"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/431","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/431","pdf_url":"https://www.ijcai.org/proceedings/2019/0431.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0431.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101108758","display_name":"Haojie Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"HaoJie Ma","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004218295","display_name":"Wenzhong Li","orcid":"https://orcid.org/0000-0002-9199-3655"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhong Li","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101976279","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0002-9392-547X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082900419","display_name":"Songcheng Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songcheng Gao","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043533769","display_name":"Sanglu Lu","orcid":"https://orcid.org/0000-0003-1467-4519"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sanglu Lu","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":9.6499,"has_fulltext":false,"cited_by_count":237,"citation_normalized_percentile":{"value":0.9844429,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3109","last_page":"3115"},"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":0.9782000184059143,"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.9220023155212402},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8130342364311218},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6129429340362549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5692950487136841},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.46257901191711426},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.45506876707077026},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.45317110419273376},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.44962602853775024},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4465236961841583},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42190372943878174},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.41965609788894653},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41669487953186035},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3656825125217438}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.9220023155212402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8130342364311218},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6129429340362549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5692950487136841},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.46257901191711426},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.45506876707077026},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.45317110419273376},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.44962602853775024},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4465236961841583},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42190372943878174},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.41965609788894653},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41669487953186035},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3656825125217438},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/431","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/431","pdf_url":"https://www.ijcai.org/proceedings/2019/0431.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/431","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/431","pdf_url":"https://www.ijcai.org/proceedings/2019/0431.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2965144482.pdf","grobid_xml":"https://content.openalex.org/works/W2965144482.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W22482183","https://openalex.org/W273955616","https://openalex.org/W1613249581","https://openalex.org/W1689711448","https://openalex.org/W1924770834","https://openalex.org/W1969307352","https://openalex.org/W2008056655","https://openalex.org/W2026297770","https://openalex.org/W2064675550","https://openalex.org/W2097575504","https://openalex.org/W2126698740","https://openalex.org/W2144193487","https://openalex.org/W2148857358","https://openalex.org/W2259263553","https://openalex.org/W2270470215","https://openalex.org/W2288074780","https://openalex.org/W2553915786","https://openalex.org/W2604630936","https://openalex.org/W2736191430","https://openalex.org/W2746095516","https://openalex.org/W2777460464","https://openalex.org/W2949095675","https://openalex.org/W2962882167","https://openalex.org/W2963855167","https://openalex.org/W4226069751"],"related_works":["https://openalex.org/W2356006086","https://openalex.org/W1973973903","https://openalex.org/W2545168295","https://openalex.org/W4234814094","https://openalex.org/W2365897603","https://openalex.org/W2156308897","https://openalex.org/W4303613760","https://openalex.org/W2361871310","https://openalex.org/W2417246878","https://openalex.org/W1982154684"],"abstract_inverted_index":{"Sensor-based":[0],"human":[1,29,68],"activity":[2,33,69,131],"recognition":[3,34,132],"is":[4],"a":[5,57,80,86,127],"fundamental":[6],"research":[7],"problem":[8],"in":[9,99,108,130],"ubiquitous":[10],"computing,":[11],"which":[12,105],"uses":[13],"the":[14,45,49,73,94,114],"rich":[15],"sensing":[16,50,97],"data":[17],"from":[18],"multimodal":[19,60,67],"embedded":[20],"sensors":[21],"such":[22],"as":[23],"accelerometer":[24],"and":[25,85,102,112],"gyroscope":[26],"to":[27,43,92],"infer":[28],"activities.":[30],"The":[31],"existing":[32],"approaches":[35],"either":[36],"rely":[37],"on":[38,119],"domain":[39],"knowledge":[40],"or":[41],"fail":[42],"address":[44],"spatial-temporal":[46],"dependencies":[47,95],"of":[48,75,96],"signals.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55],"propose":[56],"novel":[58],"attention-based":[59],"neural":[61,82],"network":[62,83,91],"model":[63],"called":[64],"AttnSense":[65,71,125],"for":[66],"recognition.":[70],"introduce":[72],"framework":[74],"combining":[76],"attention":[77],"mechanism":[78],"with":[79,134],"convolutional":[81],"(CNN)":[84],"Gated":[87],"Recurrent":[88],"Units":[89],"(GRU)":[90],"capture":[93],"signals":[98],"both":[100],"spatial":[101],"temporal":[103],"domains,":[104],"shows":[106],"advantages":[107],"prioritized":[109],"sensor":[110],"selection":[111],"improves":[113],"comprehensibility.":[115],"Extensive":[116],"experiments":[117],"based":[118],"three":[120],"public":[121],"datasets":[122],"show":[123],"that":[124],"achieves":[126],"competitive":[128],"performance":[129],"compared":[133],"several":[135],"state-of-the-art":[136],"methods.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":54},{"year":2023,"cited_by_count":57},{"year":2022,"cited_by_count":46},{"year":2021,"cited_by_count":36},{"year":2020,"cited_by_count":13}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
