{"id":"https://openalex.org/W7160893154","doi":"https://doi.org/10.48550/arxiv.2605.09604","title":"DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition","display_name":"DAP: Doppler-aware Point Network for Heterogeneous mmWave Action Recognition","publication_year":2026,"publication_date":"2026-05-10","ids":{"openalex":"https://openalex.org/W7160893154","doi":"https://doi.org/10.48550/arxiv.2605.09604"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.09604","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09604","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.09604","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135918135","display_name":"Jiaying Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Jiaying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135970466","display_name":"Shiman Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Shiman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135965201","display_name":"Jinfu Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jinfu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135915492","display_name":"Can Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Can","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135976298","display_name":"Mengyuan Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Mengyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9139000177383423,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9139000177383423,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.012799999676644802,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.01140000019222498,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6952999830245972},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.645799994468689},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5827999711036682},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5676000118255615},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5220999717712402},{"id":"https://openalex.org/keywords/doppler-radar","display_name":"Doppler radar","score":0.4950000047683716},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.4674000144004822},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.44929999113082886}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8037999868392944},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6952999830245972},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.645799994468689},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5827999711036682},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5676000118255615},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5220999717712402},{"id":"https://openalex.org/C2778559676","wikidata":"https://www.wikidata.org/wiki/Q1334213","display_name":"Doppler radar","level":3,"score":0.4950000047683716},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.4674000144004822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.454800009727478},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.44929999113082886},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4415000081062317},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4018999934196472},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.39010000228881836},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3785000145435333},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3767000138759613},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.37389999628067017},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.35899999737739563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34880000352859497},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32199999690055847},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.32170000672340393},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.28690001368522644},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.09604","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09604","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.09604","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.09604","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5618157386779785}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Millimeter-wave":[0],"(mmWave)":[1],"radar":[2,41,72,151],"provides":[3,132],"privacy-preserving":[4],"sensing":[5],"and":[6,23,47,58,96,122,156],"is":[7],"valuable":[8],"for":[9,65],"human":[10],"action":[11,103],"recognition":[12],"(HAR).":[13],"Existing":[14],"mmWave":[15,60],"point":[16,61],"cloud":[17,62],"datasets":[18],"are":[19],"limited":[20],"in":[21],"scale":[22],"mostly":[24],"collected":[25],"under":[26,149],"homogeneous":[27],"single-source":[28],"settings,":[29,152],"preventing":[30],"current":[31],"methods":[32,148],"from":[33],"handling":[34],"real-world":[35],"distribution":[36],"shifts":[37],"caused":[38],"by":[39],"heterogeneous":[40,66,150],"sources,":[42],"such":[43],"as":[44,110],"different":[45],"devices":[46],"frequency":[48],"bands.":[49],"To":[50],"address":[51],"this,":[52],"we":[53],"introduce":[54],"UniMM-HAR,":[55],"the":[56,82,112,127],"largest":[57],"first":[59],"HAR":[63],"dataset":[64],"multi-source":[67],"scenarios,":[68],"standardizing":[69],"three":[70],"distinct":[71],"configurations":[73],"to":[74,88,100],"realistically":[75],"evaluate":[76],"cross-source":[77,158],"generalization.":[78],"We":[79],"further":[80],"propose":[81],"Doppler-aware":[83],"Point":[84],"Cloud":[85],"Network":[86],"(DAP-Net)":[87],"tackle":[89],"heterogeneity":[90],"challenges.":[91],"DAP-Net":[92,144],"enhances":[93],"intra-modal":[94],"representations":[95],"performs":[97,118],"cross-modal":[98],"alignment":[99],"learn":[101],"source-invariant":[102],"semantics.":[104],"Leveraging":[105],"action-consistent":[106],"spatio-temporal":[107],"Doppler":[108,114],"patterns":[109],"anchors,":[111],"Dual-space":[113],"Reparameterization":[115],"(D2R)":[116],"module":[117],"sample-adaptive":[119],"geometric":[120],"densification":[121],"Doppler-guided":[123],"feature":[124],"recalibration,":[125],"while":[126],"Text":[128],"Alignment":[129],"Module":[130],"(TAM)":[131],"stable":[133],"semantic":[134],"anchors":[135],"via":[136],"a":[137],"pretrained":[138],"textual":[139],"space.":[140],"Experiments":[141],"show":[142],"that":[143],"significantly":[145],"outperforms":[146],"existing":[147],"achieving":[153],"state-of-the-art":[154],"accuracy":[155],"strong":[157],"robustness.":[159]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-13T00:00:00"}