{"id":"https://openalex.org/W56626615","doi":"https://doi.org/10.21437/icslp.2002-116","title":"Gestural trajectory symmetries and discourse segmentation","display_name":"Gestural trajectory symmetries and discourse segmentation","publication_year":2002,"publication_date":"2002-09-16","ids":{"openalex":"https://openalex.org/W56626615","doi":"https://doi.org/10.21437/icslp.2002-116","mag":"56626615"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.2002-116","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2002-116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Spoken Language Processing (ICSLP 2002)","raw_type":"proceedings-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/A5083022890","display_name":"Francis Quek","orcid":"https://orcid.org/0009-0002-9040-7113"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Francis Quek","raw_affiliation_strings":["Wright State University;"],"affiliations":[{"raw_affiliation_string":"Wright State University;","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100867303","display_name":"Yingen Xiong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yingen Xiong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5010589845","display_name":"David McNeill","orcid":"https://orcid.org/0000-0002-6892-5902"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David McNeill","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083022890"],"corresponding_institution_ids":["https://openalex.org/I19648265"],"apc_list":null,"apc_paid":null,"fwci":0.8639,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72239032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"185","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991000294685364,"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"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9692999720573425,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6737451553344727},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6523309350013733},{"id":"https://openalex.org/keywords/conceptualization","display_name":"Conceptualization","score":0.5056602954864502},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.47606509923934937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45660853385925293},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4557390809059143},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45087477564811707},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.41766390204429626},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3496519923210144},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32002511620521545},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1755903661251068}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737451553344727},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6523309350013733},{"id":"https://openalex.org/C90734943","wikidata":"https://www.wikidata.org/wiki/Q17008777","display_name":"Conceptualization","level":2,"score":0.5056602954864502},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.47606509923934937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45660853385925293},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4557390809059143},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45087477564811707},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.41766390204429626},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3496519923210144},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32002511620521545},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1755903661251068},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.21437/icslp.2002-116","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.2002-116","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Spoken Language Processing (ICSLP 2002)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.117.9995","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.9995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.vt.edu/~yxiong/QueXM02.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W112381816","https://openalex.org/W146226055","https://openalex.org/W1594252342","https://openalex.org/W1875231349","https://openalex.org/W1935857547","https://openalex.org/W1989386832","https://openalex.org/W2118163921","https://openalex.org/W2154418460"],"related_works":["https://openalex.org/W4362575170","https://openalex.org/W1532772865","https://openalex.org/W2531253623","https://openalex.org/W2984230149","https://openalex.org/W2112095637","https://openalex.org/W2237121679","https://openalex.org/W4390616414","https://openalex.org/W2006867289","https://openalex.org/W3212890177","https://openalex.org/W2102568844"],"abstract_inverted_index":{"Our":[0],"approach":[1,105],"is":[2,27,159],"motivated":[3],"by":[4],"the":[5,14,35,43,52,69,79,84,88,98,142,146,162,175],"conviction":[6],"that":[7,18,106],"gesture":[8],"and":[9,25,67,76,92,113,165],"speech":[10],"are":[11,121],"coexpressive":[12],"of":[13,45,48,54,60,71,78,87,141,148,177],"underlying":[15],"dynamic":[16],"ideation":[17],"drives":[19],"human":[20],"communication.":[21],"As":[22],"such,":[23],"transitions":[24],"cohesions":[26],"gestural":[28,149],"behavior":[29],"would":[30],"inform":[31],"us":[32],"as":[33],"to":[34,115,124,133,161,173],"discourse":[36,153,171,179],"conceptualization.":[37],"In":[38],"this":[39,95,131],"paper,":[40],"we":[41],"examine":[42],"role":[44],"motion":[46,62],"symmetries":[47],"twohanded":[49],"gestures":[50],"in":[51,83,94],"structuring":[53],"speech.":[55],"We":[56,100,129],"employ":[57,101],"a":[58,102,108,125,168],"set":[59],"hand":[61],"traces":[63],"extracted":[64],"from":[65],"video":[66,136],"compute":[68],"correlation":[70,80,119],"these":[72],"traces.":[73],"The":[74,117],"signs":[75],"magnitudes":[77],"coef\u00decients":[81],"computed":[82],"cardinal":[85],"directions":[86],"subject\u2019s":[89],"torso":[90],"(lateral":[91],"vertical":[93],"work)":[96],"characterize":[97],"symmetries.":[99],"windowed":[103],"computation":[104],"permits":[107],"balance":[109],"between":[110,151],"temporal":[111,126],"resolution":[112],"robustness":[114],"noise.":[116],"resulting":[118],"pro\u00deles":[120],"merged":[122],"according":[123],"proximity":[127],"rule.":[128],"apply":[130],"analysis":[132,140,158],"two":[134],"conversational":[135],"sequences.":[137],"A":[138,155],"detailed":[139],"\u00derst":[143],"sequence":[144],"reveals":[145],"persistence":[147],"imagery":[150],"semantically-similar":[152],"pieces.":[154],"symmetry":[156],"transition":[157],"applied":[160],"second":[163],"dataset":[164],"compared":[166],"against":[167],"manually":[169],"generated":[170],"segmentation":[172],"demonstrate":[174],"potential":[176],"cross-modal":[178],"segmentation.":[180],"1.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}