{"id":"https://openalex.org/W4285744644","doi":"https://doi.org/10.1109/tim.2022.3191653","title":"Understanding and Improving Channel Attention for Human Activity Recognition by Temporal-Aware and Modality-Aware Embedding","display_name":"Understanding and Improving Channel Attention for Human Activity Recognition by Temporal-Aware and Modality-Aware Embedding","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285744644","doi":"https://doi.org/10.1109/tim.2022.3191653"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3191653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3191653","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5015088330","display_name":"Chaolei Han","orcid":"https://orcid.org/0000-0002-0801-4867"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaolei Han","raw_affiliation_strings":["School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0801-4867","affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076127071","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0001-8749-7459"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-8749-7459","affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085120580","display_name":"Yin Tang","orcid":"https://orcid.org/0000-0003-4675-9074"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Tang","raw_affiliation_strings":["School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4675-9074","affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004588590","display_name":"Shige Xu","orcid":"https://orcid.org/0000-0002-4785-9547"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shige Xu","raw_affiliation_strings":["School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4785-9547","affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075406368","display_name":"Fuhong Min","orcid":"https://orcid.org/0000-0001-7826-3124"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuhong Min","raw_affiliation_strings":["School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7826-3124","affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005207362","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0002-3696-9281"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-3696-9281","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048327458","display_name":"Aiguo Song","orcid":"https://orcid.org/0000-0002-1982-6780"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiguo Song","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1982-6780","affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0307,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87996428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"12"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.992900013923645,"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":0.988099992275238,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7617014646530151},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.753715455532074},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6655706167221069},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6457534432411194},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5939174890518188},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5935105681419373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5627130270004272},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5572632551193237},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5047777891159058},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41991716623306274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3342821002006531}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7617014646530151},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.753715455532074},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6655706167221069},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6457534432411194},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5939174890518188},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5935105681419373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5627130270004272},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5572632551193237},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5047777891159058},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41991716623306274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3342821002006531},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3191653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3191653","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4627539250","display_name":"\u975e\u5149\u6ed1\u5fc6\u963b\u7cfb\u7edf\u7684\u8fb9\u754c\u632f\u8361\u884c\u4e3a\u4e0e\u5207\u6362\u540c\u6b65\u7814\u7a76","funder_award_id":"61971228","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5665768396","display_name":null,"funder_award_id":"BK20191371","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W2023302299","https://openalex.org/W2026297770","https://openalex.org/W2053443947","https://openalex.org/W2054780155","https://openalex.org/W2126511896","https://openalex.org/W2219995598","https://openalex.org/W2270470215","https://openalex.org/W2555209581","https://openalex.org/W2736191430","https://openalex.org/W2751594996","https://openalex.org/W2752782242","https://openalex.org/W2789868604","https://openalex.org/W2794045421","https://openalex.org/W2884585870","https://openalex.org/W2892341857","https://openalex.org/W2894702700","https://openalex.org/W2903650079","https://openalex.org/W2904167941","https://openalex.org/W2908273910","https://openalex.org/W2923336951","https://openalex.org/W2947403743","https://openalex.org/W2963091558","https://openalex.org/W2963716982","https://openalex.org/W2964231884","https://openalex.org/W2964937861","https://openalex.org/W2965144482","https://openalex.org/W2977757120","https://openalex.org/W2982220924","https://openalex.org/W3006654525","https://openalex.org/W3036546791","https://openalex.org/W3044326989","https://openalex.org/W3049146908","https://openalex.org/W3100989880","https://openalex.org/W3102652454","https://openalex.org/W3157211952","https://openalex.org/W3164845984","https://openalex.org/W3177052299","https://openalex.org/W3185580468","https://openalex.org/W3188277880","https://openalex.org/W3193597430","https://openalex.org/W3196745188","https://openalex.org/W3199905074","https://openalex.org/W4205771884","https://openalex.org/W4214666412","https://openalex.org/W4226239016","https://openalex.org/W4280587517","https://openalex.org/W6704286305","https://openalex.org/W6753038380"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"Unlike":[0],"image":[1],"data,":[2],"it":[3,54],"is":[4,73,109,150,165,169],"often":[5],"hard":[6],"to":[7,59,94,111,152],"understand":[8],"intricate":[9],"sensor":[10,19],"data":[11],"for":[12,76],"human":[13,174],"activity,":[14],"which":[15,108,159,163,168],"generally":[16],"contains":[17],"heterogeneous":[18],"modalities":[20,164],"from":[21],"different":[22],"body":[23],"positions.":[24],"The":[25],"importance":[26,66,116],"of":[27,41,67,102,117,147],"every":[28],"modality":[29],"might":[30],"also":[31],"vary":[32],"over":[33],"time.":[34],"Recent":[35],"studies":[36],"have":[37],"witnessed":[38],"the":[39,65,114,154],"success":[40],"channel":[42,61],"attention":[43,86,129],"in":[44,170],"boosting":[45],"model":[46],"performance.":[47],"To":[48],"maintain":[49],"considerably":[50],"low":[51],"computational":[52,142],"overhead,":[53],"utilizes":[55],"global":[56,96],"pooling":[57,97],"operation":[58,98],"squeeze":[60],"information,":[62],"but":[63],"neglects":[64],"temporal-aware":[68,91,118],"and":[69,92,119],"modality-aware":[70,120],"information":[71],"that":[72,126],"very":[74],"vital":[75],"activity":[77,104],"recognition.":[78],"In":[79],"this":[80],"paper,":[81],"we":[82],"propose":[83],"a":[84,100,145],"novel":[85],"mechanism":[87],"called":[88],"TAMA":[89,128],"(i.e.,":[90],"modality-aware)":[93],"factorize":[95],"into":[99],"pair":[101],"parallel":[103],"feature":[105],"embedding":[106],"processes,":[107],"able":[110],"simultaneously":[112],"highlight":[113],"varying":[115],"information.":[121],"Extensive":[122],"ablation":[123],"experiments":[124],"verify":[125],"our":[127],"can":[130],"achieve":[131],"competitive":[132],"results":[133],"on":[134],"several":[135],"standard":[136],"HAR":[137],"benchmarks":[138],"without":[139],"incurring":[140],"extra":[141],"burden.":[143],"Moreover,":[144],"series":[146],"visualizing":[148],"analysis":[149],"provided":[151],"show":[153],"improved":[155],"interpretability":[156],"by":[157],"telling":[158],"temporal":[160],"steps":[161],"or":[162],"more":[166],"determinant,":[167],"good":[171],"line":[172],"with":[173],"common":[175],"intuition.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}