{"id":"https://openalex.org/W4393399679","doi":"https://doi.org/10.48550/arxiv.2403.20183","title":"HARMamba: Efficient and Lightweight Wearable Sensor Human Activity Recognition Based on Bidirectional Mamba","display_name":"HARMamba: Efficient and Lightweight Wearable Sensor Human Activity Recognition Based on Bidirectional Mamba","publication_year":2024,"publication_date":"2024-03-29","ids":{"openalex":"https://openalex.org/W4393399679","doi":"https://doi.org/10.48550/arxiv.2403.20183"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2403.20183","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.20183","pdf_url":"https://arxiv.org/pdf/2403.20183","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2403.20183","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111158209","display_name":"Shuangjian Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Shuangjian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104275514","display_name":"Tao Zhu","orcid":"https://orcid.org/0009-0005-4085-921X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Tao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064913152","display_name":"Furong Duan","orcid":"https://orcid.org/0000-0002-0017-9552"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duan, Furong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443536","display_name":"Liming Chen","orcid":"https://orcid.org/0000-0003-0200-7989"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Liming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102790255","display_name":"Huansheng Ning","orcid":"https://orcid.org/0000-0001-6413-193X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning, Huansheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Nugent, Christopher","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nugent, Christopher","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Wan, Yaping","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan, Yaping","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5111158209"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.977400004863739,"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":0.977400004863739,"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/wearable-computer","display_name":"Wearable computer","score":0.7499449849128723},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6304318904876709},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6158910989761353},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4129887819290161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3868127465248108},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.335456520318985},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.2501283288002014}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7499449849128723},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6304318904876709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6158910989761353},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4129887819290161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3868127465248108},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.335456520318985},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2501283288002014}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2403.20183","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.20183","pdf_url":"https://arxiv.org/pdf/2403.20183","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2403.20183","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2403.20183","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2403.20183","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.20183","pdf_url":"https://arxiv.org/pdf/2403.20183","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5148500241","display_name":null,"funder_award_id":"62006110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393399679.pdf","grobid_xml":"https://content.openalex.org/works/W4393399679.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Wearable":[0],"sensor-based":[1],"human":[2],"activity":[3,12,162,183],"recognition":[4,21],"(HAR)":[5],"is":[6,149],"a":[7,23],"critical":[8],"research":[9],"domain":[10],"in":[11,85],"perception.":[13],"However,":[14],"achieving":[15],"high":[16],"efficiency":[17],"and":[18,38,47,66,77,93,109,127,155,200,219,234],"long":[19],"sequence":[20,144,148,184],"remains":[22],"challenge.":[24],"Despite":[25],"the":[26,132,135,143,156,161,169,173,177,227],"extensive":[27,41],"investigation":[28],"of":[29,134,172,180,224],"temporal":[30],"deep":[31],"learning":[32],"models,":[33],"such":[34],"as":[35,168],"CNNs,":[36],"RNNs,":[37],"transformers,":[39],"their":[40],"parameters":[42],"often":[43],"pose":[44],"significant":[45],"computational":[46,199],"memory":[48,201],"constraints,":[49],"rendering":[50],"them":[51],"less":[52],"suitable":[53],"for":[54],"resource-constrained":[55],"mobile":[56],"health":[57],"applications.":[58],"This":[59],"study":[60],"introduces":[61],"HARMamba,":[62],"an":[63],"innovative":[64],"light-weight":[65],"versatile":[67],"HAR":[68],"architecture":[69],"that":[70],"combines":[71],"selective":[72],"bidirectional":[73],"State":[74],"Spaces":[75],"Model":[76],"hardware-aware":[78],"design.":[79],"To":[80],"optimize":[81],"real-time":[82],"resource":[83],"consumption":[84],"practical":[86],"scenarios,":[87],"HARMamba":[88,153,165,174,186,225],"employs":[89,114],"linear":[90],"recursive":[91],"mechanisms":[92],"parameter":[94],"discretization,":[95],"allowing":[96],"it":[97],"to":[98,117,131,141],"selectively":[99],"focus":[100],"on":[101,209,226],"relevant":[102],"input":[103],"sequences":[104],"while":[105],"efficiently":[106],"fusing":[107],"scan":[108],"recompute":[110],"operations.":[111],"The":[112,146,164,221],"model":[113],"independent":[115],"channels":[116],"process":[118],"sensor":[119],"data":[120],"streams,":[121],"dividing":[122],"each":[123],"channel":[124],"into":[125],"patches":[126],"appending":[128],"classification":[129,157],"tokens":[130],"end":[133],"sequence.":[136],"It":[137],"utilizes":[138],"position":[139],"embedding":[140],"represent":[142],"order.":[145],"patch":[147],"subsequently":[150],"processed":[151],"by":[152],"Block,":[154],"head":[158],"finally":[159],"outputs":[160],"category.":[163],"Block":[166],"serves":[167],"fundamental":[170],"component":[171],"architecture,":[175],"enabling":[176],"effective":[178],"capture":[179],"more":[181],"discriminative":[182],"features.":[185],"outperforms":[187],"contemporary":[188],"state-of-the-art":[189],"frameworks,":[190],"delivering":[191],"comparable":[192],"or":[193],"better":[194],"accuracy":[195],"with":[196],"significantly":[197],"reducing":[198],"demands.":[202],"It's":[203],"effectiveness":[204],"has":[205],"been":[206],"extensively":[207],"validated":[208],"4":[210],"publically":[211],"available":[212],"datasets":[213,229],"namely":[214],"PAMAP2,":[215],"WISDM,":[216],"UNIMIB":[217],"SHAR":[218],"UCI.":[220],"F1":[222],"scores":[223],"four":[228],"are":[230],"99.74%,":[231],"99.20%,":[232],"88.23%":[233],"97.01%,":[235],"respectively.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2024-04-02T00:00:00"}
