{"id":"https://openalex.org/W4415707972","doi":"https://doi.org/10.1109/icme59968.2025.11208900","title":"STPM: Spatial-Temporal Point Mamba for Activity Recognition Using mmWave Radar Point Clouds","display_name":"STPM: Spatial-Temporal Point Mamba for Activity Recognition Using mmWave Radar Point Clouds","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415707972","doi":"https://doi.org/10.1109/icme59968.2025.11208900"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11208900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11208900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Yingru Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yingru Chen","raw_affiliation_strings":["University of Technology Sydney,Sydney,NSW,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,Sydney,NSW,Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103913792","display_name":"Zhihao Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhihao Guo","raw_affiliation_strings":["University of Technology Sydney,Sydney,NSW,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,Sydney,NSW,Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056805482","display_name":"Haimin Zhang","orcid":"https://orcid.org/0000-0003-4443-6888"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Haimin Zhang","raw_affiliation_strings":["University of Technology Sydney,Sydney,NSW,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,Sydney,NSW,Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102004786","display_name":"Min Xu","orcid":"https://orcid.org/0000-0002-5595-8983"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Min Xu","raw_affiliation_strings":["University of Technology Sydney,Sydney,NSW,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology Sydney,Sydney,NSW,Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":12.9307,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.98693972,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.5497999787330627,"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":0.5497999787330627,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.1315000057220459,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12740","display_name":"Gait Recognition and Analysis","score":0.06710000336170197,"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":0.5681999921798706},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5508999824523926},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5375000238418579},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4036000072956085},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.374099999666214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3508000075817108},{"id":"https://openalex.org/keywords/point-to-point","display_name":"Point-to-point","score":0.349700003862381},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.33899998664855957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7366999983787537},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5681999921798706},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5508999824523926},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5375000238418579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5005000233650208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42320001125335693},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4036000072956085},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.374099999666214},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3700999915599823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C174440990","wikidata":"https://www.wikidata.org/wiki/Q681349","display_name":"Point-to-point","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.33899998664855957},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31139999628067017},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.2800000011920929},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.273499995470047},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.27149999141693115},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2662000060081482},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.26420000195503235},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C2778999744","wikidata":"https://www.wikidata.org/wiki/Q7208292","display_name":"Point target","level":3,"score":0.258899986743927},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11208900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11208900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1993229407","https://openalex.org/W2131296063","https://openalex.org/W2799062425","https://openalex.org/W2884033211","https://openalex.org/W2895472109","https://openalex.org/W2897132279","https://openalex.org/W2963125977","https://openalex.org/W2973630397","https://openalex.org/W2979856235","https://openalex.org/W3000681136","https://openalex.org/W3034213511","https://openalex.org/W3034442691","https://openalex.org/W3106588323","https://openalex.org/W3113920925","https://openalex.org/W3156340046","https://openalex.org/W3161507190","https://openalex.org/W3213624573","https://openalex.org/W4210553182","https://openalex.org/W4214755140","https://openalex.org/W4221057698","https://openalex.org/W4229082118","https://openalex.org/W4285815086","https://openalex.org/W4312270234","https://openalex.org/W4361759894","https://openalex.org/W4361761232","https://openalex.org/W4367279915","https://openalex.org/W4379932127","https://openalex.org/W4385248623","https://openalex.org/W4388127349","https://openalex.org/W4388145639","https://openalex.org/W4403998395"],"related_works":[],"abstract_inverted_index":{"Human":[0],"activity":[1],"recognition":[2],"using":[3],"millimeter-wave":[4],"radar":[5],"point":[6,23],"clouds":[7],"has":[8],"emerged":[9],"as":[10],"a":[11,64,78,93,107],"promising":[12],"visual":[13],"privacy-preserving":[14],"sensing":[15],"paradigm,":[16],"transitioning":[17],"from":[18],"multi-domain":[19],"Doppler":[20],"analysis":[21],"to":[22,147],"cloud-based":[24],"methods":[25],"for":[26,101],"richer":[27],"spatial":[28,52,120],"information.":[29],"However,":[30],"existing":[31],"approaches":[32],"face":[33],"critical":[34],"challenges":[35],"in":[36,155],"modeling":[37],"temporal":[38,85,95],"dependencies":[39,86],"between":[40],"consecutive":[41],"frames":[42],"and":[43,50,105,118,127,136],"simultaneously":[44],"capturing":[45],"both":[46,114],"local":[47,115],"geometric":[48,116],"structures":[49],"global":[51,119],"relationships.":[53],"To":[54],"address":[55],"these":[56],"challenges,":[57],"we":[58],"propose":[59],"STPM":[60,130],"(Spatial-Temporal":[61],"Point":[62],"Mamba),":[63],"novel":[65],"framework":[66],"that":[67,82,111],"extends":[68],"traditional":[69],"State":[70],"Space":[71],"Models":[72],"through":[73],"three":[74],"key":[75],"innovations:":[76],"(1)":[77],"bidirectional":[79],"selective":[80],"mechanism":[81],"captures":[83],"comprehensive":[84],"while":[87,140],"maintaining":[88],"linear":[89],"memory":[90,142],"complexity,":[91],"(2)":[92],"queue-based":[94],"processing":[96],"strategy":[97,110],"with":[98,134],"theoretical":[99],"guarantees":[100],"preventing":[102],"error":[103],"accumulation,":[104],"(3)":[106],"hierarchical":[108],"grouping":[109],"effectively":[112],"models":[113],"details":[117],"contexts.":[121],"Through":[122],"extensive":[123],"evaluations":[124],"on":[125],"RadHAR":[126],"MM-Fi":[128],"datasets,":[129],"achieves":[131],"state-of-the-art":[132],"performance":[133],"98.14%":[135],"95.69%":[137],"accuracy":[138],"respectively,":[139],"reducing":[141],"consumption":[143],"by":[144],"35%":[145],"compared":[146],"transformer-based":[148],"alternatives.":[149],"Extensive":[150],"experiments":[151],"demonstrate":[152],"its":[153],"effectiveness":[154],"distinguishing":[156],"semantically":[157],"similar":[158],"but":[159],"functionally":[160],"distinct":[161],"motions.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-30T00:00:00"}
