{"id":"https://openalex.org/W4387031820","doi":"https://doi.org/10.1109/tkde.2023.3277839","title":"Channel Attention for Sensor-Based Activity Recognition: Embedding Features into all Frequencies in DCT Domain","display_name":"Channel Attention for Sensor-Based Activity Recognition: Embedding Features into all Frequencies in DCT Domain","publication_year":2023,"publication_date":"2023-05-19","ids":{"openalex":"https://openalex.org/W4387031820","doi":"https://doi.org/10.1109/tkde.2023.3277839"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3277839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3277839","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","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/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/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/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/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":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.7008,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.97896281,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"35","issue":"12","first_page":"12497","last_page":"12512"},"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":0.9976999759674072,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9919000267982483,"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/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.833147406578064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7829697132110596},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6836620569229126},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4963989853858948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49468204379081726},{"id":"https://openalex.org/keywords/frequency-band","display_name":"Frequency band","score":0.43538734316825867},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43483179807662964},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4221000671386719},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41240304708480835},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3586706519126892},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.358600914478302},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3379947543144226},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.20289382338523865},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14988839626312256},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.08613085746765137}],"concepts":[{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.833147406578064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7829697132110596},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6836620569229126},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4963989853858948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49468204379081726},{"id":"https://openalex.org/C2778116611","wikidata":"https://www.wikidata.org/wiki/Q25110567","display_name":"Frequency band","level":3,"score":0.43538734316825867},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43483179807662964},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4221000671386719},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41240304708480835},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3586706519126892},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.358600914478302},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3379947543144226},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.20289382338523865},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14988839626312256},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.08613085746765137},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2023.3277839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3277839","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4279245431","display_name":"\u9762\u5411Web API\u6316\u6398\u7684\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u6784\u5efa\u7814\u7a76","funder_award_id":"61962061","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":59,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W610997267","https://openalex.org/W645314983","https://openalex.org/W1997086460","https://openalex.org/W2017634428","https://openalex.org/W2031614119","https://openalex.org/W2037221767","https://openalex.org/W2073401630","https://openalex.org/W2074099390","https://openalex.org/W2140929831","https://openalex.org/W2270470215","https://openalex.org/W2288074780","https://openalex.org/W2302086703","https://openalex.org/W2555209581","https://openalex.org/W2577415454","https://openalex.org/W2738060292","https://openalex.org/W2752782242","https://openalex.org/W2789868604","https://openalex.org/W2841493617","https://openalex.org/W2884585870","https://openalex.org/W2894702700","https://openalex.org/W2904167941","https://openalex.org/W2909260516","https://openalex.org/W2909645133","https://openalex.org/W2910141648","https://openalex.org/W2922509574","https://openalex.org/W2923336951","https://openalex.org/W2951578881","https://openalex.org/W2963495494","https://openalex.org/W2963716982","https://openalex.org/W2963855167","https://openalex.org/W2965144482","https://openalex.org/W2981408784","https://openalex.org/W2987761193","https://openalex.org/W2997150500","https://openalex.org/W2998376881","https://openalex.org/W3001316388","https://openalex.org/W3006654525","https://openalex.org/W3034771037","https://openalex.org/W3044326989","https://openalex.org/W3046349935","https://openalex.org/W3049146908","https://openalex.org/W3101028550","https://openalex.org/W3168997536","https://openalex.org/W3173400793","https://openalex.org/W3183457194","https://openalex.org/W3190748826","https://openalex.org/W3209195060","https://openalex.org/W3209735728","https://openalex.org/W4214666412","https://openalex.org/W4385245566","https://openalex.org/W6605479355","https://openalex.org/W6696429117","https://openalex.org/W6704286305","https://openalex.org/W6739901393","https://openalex.org/W6753412334","https://openalex.org/W6772938244","https://openalex.org/W6781372415","https://openalex.org/W6799331292"],"related_works":["https://openalex.org/W1916685473","https://openalex.org/W2055682261","https://openalex.org/W1993363272","https://openalex.org/W2910277996","https://openalex.org/W2803419934","https://openalex.org/W52140243","https://openalex.org/W2360445617","https://openalex.org/W2104434539","https://openalex.org/W2066487630","https://openalex.org/W1512303388"],"abstract_inverted_index":{"During":[0],"recent":[1],"years,":[2],"channel":[3,33,44,82,174],"attention":[4,34,83],"has":[5,17],"attracted":[6],"great":[7],"interest":[8],"in":[9,21,182],"deep":[10,219],"learning":[11],"community.":[12],"Despite":[13,62,168],"significant":[14],"success,":[15],"it":[16],"been":[18],"rarely":[19],"exploited":[20],"ubiquitous":[22],"human":[23,94],"activity":[24,86],"recognition":[25,87],"(HAR)":[26],"scenario.":[27],"To":[28],"decrease":[29],"computational":[30,188],"overhead,":[31],"the":[32,58,102,114,139,186],"often":[35],"uses":[36,138],"global":[37],"averaging":[38],"pooling":[39],"(GAP)":[40],"to":[41,57,100,108,121,155,184,199],"compress":[42,122,157],"each":[43,173],"into":[45],"a":[46,79,132,180,215],"simple":[47],"scalar.":[48],"It":[49],"is":[50,55,99,119,153,197,225],"well":[51],"known":[52],"that":[53,126],"GAP":[54,127],"equal":[56],"lowest":[59,140],"frequency":[60,109,141,149,163,170,192],"component.":[61],"obvious":[63],"lightweight":[64],"advantage,":[65],"such":[66],"compression":[67],"process":[68],"inevitably":[69],"causes":[70],"severe":[71],"information":[72],"loss.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77],"propose":[78],"novel":[80],"multi-frequency":[81],"framework":[84],"for":[85],"tasks.":[88],"Considering":[89],"various":[90],"sensing":[91],"frequencies":[92],"of":[93,112,135,218],"activities,":[95],"an":[96,228],"intuition":[97],"solution":[98],"convert":[101],"time":[103,106],"series":[104],"from":[105],"domain":[107],"domain.":[110],"Instead":[111],"GAP,":[113],"discrete":[115],"cosine":[116],"transform":[117],"(DCT)":[118],"used":[120],"channels.":[123],"We":[124],"prove":[125],"can":[128],"be":[129,177],"seen":[130],"as":[131],"special":[133],"case":[134],"DCT,":[136],"which":[137,213],"component":[142],"only":[143],"and":[144],"leaves":[145],"out":[146],"all":[147],"other":[148,162],"components":[150,164,171],"unused.":[151],"DCT":[152],"able":[154,198],"better":[156,216],"channels":[158],"by":[159,166,179],"fully":[160],"exploiting":[161],"discarded":[165],"GAP.":[167],"multiple":[169],"used,":[172],"will":[175],"still":[176],"represented":[178],"scalar":[181],"order":[183],"maintain":[185],"same":[187],"overhead.":[189],"Using":[190],"two":[191],"screening":[193],"criteria,":[194],"our":[195],"method":[196],"achieve":[200],"state-of-the-art":[201],"results":[202],"on":[203,227],"four":[204],"benchmark":[205],"HAR":[206],"datasets.":[207],"Extensive":[208],"ablation":[209],"studies":[210],"are":[211],"conducted,":[212],"provides":[214],"interpretability":[217],"model":[220],"behaviors.":[221],"Finally,":[222],"actual":[223],"inference":[224],"evaluated":[226],"embedded":[229],"platform.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
