{"id":"https://openalex.org/W7160594519","doi":"https://doi.org/10.48550/arxiv.2605.06351","title":"SIGMA-ASL: Sensor-Integrated Multimodal Dataset for Sign Language Recognition","display_name":"SIGMA-ASL: Sensor-Integrated Multimodal Dataset for Sign Language Recognition","publication_year":2026,"publication_date":"2026-05-07","ids":{"openalex":"https://openalex.org/W7160594519","doi":"https://doi.org/10.48550/arxiv.2605.06351"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.06351","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06351","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.2605.06351","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135695210","display_name":"Xiaofang Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Xiaofang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135710071","display_name":"Guangchao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Guangchao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018910040","display_name":"Guangrong Zhao","orcid":"https://orcid.org/0000-0002-4703-9397"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Guangrong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135690415","display_name":"Qi Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Qi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135701765","display_name":"Wen Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Wen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053684989","display_name":"Hongkai Wen","orcid":"https://orcid.org/0000-0003-1159-090X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen, Hongkai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605513","display_name":"Yanxiang Wang","orcid":"https://orcid.org/0000-0001-9965-7296"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yanxiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5013564110","display_name":"Yiran Shen","orcid":"https://orcid.org/0000-0003-1385-1480"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Yiran","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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10789","display_name":"Interactive and Immersive Displays","score":0.002899999963119626,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11285","display_name":"Hearing Impairment and Communication","score":0.0020000000949949026,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.730400025844574},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5800999999046326},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4544999897480011},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.4343999922275543},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.40689998865127563},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.3614000082015991},{"id":"https://openalex.org/keywords/american-sign-language","display_name":"American Sign Language","score":0.3549000024795532},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.3409999907016754},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.3343000113964081}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7822999954223633},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.730400025844574},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5800999999046326},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4544999897480011},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4507000148296356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.436599999666214},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.4343999922275543},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.40689998865127563},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C2776737515","wikidata":"https://www.wikidata.org/wiki/Q14759","display_name":"American Sign Language","level":3,"score":0.3549000024795532},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.3409999907016754},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C135641252","wikidata":"https://www.wikidata.org/wiki/Q738567","display_name":"Multimodal interaction","level":2,"score":0.328900009393692},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3190000057220459},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C22607594","wikidata":"https://www.wikidata.org/wiki/Q5375150","display_name":"Enabling","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2797999978065491},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.27889999747276306},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C2780660688","wikidata":"https://www.wikidata.org/wiki/Q25052564","display_name":"Multimodal learning","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25859999656677246},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.06351","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06351","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.2605.06351","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06351","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":[{"score":0.693072497844696,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Automatic":[0],"sign":[1,107,180],"language":[2,108,181],"recognition":[3,182],"(SLR)":[4],"has":[5],"become":[6],"a":[7,49,61,75,96,151,171],"key":[8],"enabler":[9],"of":[10,51],"inclusive":[11],"human-computer":[12],"interaction,":[13],"fostering":[14],"seamless":[15],"communication":[16],"between":[17],"deaf":[18],"individuals":[19],"and":[20,44,48,79,91,132,141,147,157,166,178],"hearing":[21],"communities.":[22],"Despite":[23],"significant":[24],"advances":[25],"in":[26,95],"multimodal":[27,63,117,158],"learning,":[28],"existing":[29],"SLR":[30],"research":[31],"remains":[32],"dominated":[33],"by":[34,40],"vision-based":[35],"datasets,":[36],"which":[37],"are":[38],"limited":[39],"sensitivity":[41],"to":[42,86],"lighting":[43],"occlusion,":[45],"privacy":[46],"concerns,":[47],"lack":[50],"cross-modal":[52,133],"diversity.":[53],"To":[54],"address":[55],"these":[56],"challenges,":[57],"we":[58],"introduce":[59],"SIGMA-ASL,":[60],"large-scale":[62],"dataset":[64,68],"for":[65,154,174],"SLR.":[66,159],"The":[67],"integrates":[69],"an":[70],"Azure":[71],"Kinect":[72],"RGB-D":[73],"camera,":[74],"millimeter-wave":[76],"(mmWave)":[77],"radar,":[78],"two":[80],"wrist-worn":[81],"inertial":[82],"measurement":[83],"units":[84],"(IMUs)":[85],"capture":[87],"complementary":[88],"visual,":[89],"radio-reflection,":[90],"kinematic":[92],"information.":[93],"Collected":[94],"controlled":[97],"studio":[98],"environment":[99],"with":[100],"20":[101],"participants":[102],"performing":[103],"160":[104],"common":[105],"American":[106],"(ASL)":[109],"signs,":[110],"SIGMA-ASL":[111],"provides":[112],"93,545":[113],"temporally":[114],"synchronized":[115],"word-level":[116],"clips.":[118],"A":[119],"unified":[120],"sensing":[121],"framework":[122],"achieves":[123],"millisecond-level":[124],"alignment":[125],"across":[126],"modalities,":[127],"enabling":[128],"reliable":[129],"sensor":[130],"fusion":[131],"learning.":[134],"We":[135],"further":[136],"design":[137],"standardized":[138],"preprocessing":[139],"pipelines":[140],"benchmarking":[142],"protocols":[143],"under":[144],"both":[145],"user-dependent":[146],"user-independent":[148],"settings,":[149],"offering":[150],"comprehensive":[152],"foundation":[153],"evaluating":[155],"single":[156],"Extensive":[160],"experiments":[161],"validate":[162],"the":[163],"dataset's":[164],"quality":[165],"demonstrate":[167],"its":[168],"potential":[169],"as":[170],"valuable":[172],"resource":[173],"developing":[175],"robust,":[176],"privacy-preserving,":[177],"ubiquitous":[179],"systems.":[183]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-09T00:00:00"}