{"id":"https://openalex.org/W3044242366","doi":"https://doi.org/10.1109/icta49490.2019.9144795","title":"Understanding Prosodic Pauses in Sign Language from Motion-Capture and Video-data","display_name":"Understanding Prosodic Pauses in Sign Language from Motion-Capture and Video-data","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3044242366","doi":"https://doi.org/10.1109/icta49490.2019.9144795","mag":"3044242366"},"language":"en","primary_location":{"id":"doi:10.1109/icta49490.2019.9144795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icta49490.2019.9144795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 7th International conference on ICT &amp; Accessibility (ICTA)","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/A5077004840","display_name":"Imen Lagha","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Imen Lagha","raw_affiliation_strings":["Research Laboratory on Technologies of Information and Communication and Electrical Engineering (LaTICE-GE), University of Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Research Laboratory on Technologies of Information and Communication and Electrical Engineering (LaTICE-GE), University of Tunis, Tunisia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034578904","display_name":"Achraf Othman","orcid":"https://orcid.org/0000-0003-1290-2098"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Achraf Othman","raw_affiliation_strings":["Research Laboratory on Technologies of Information and Communication and Electrical Engineering (LaTICE-GE), University of Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"Research Laboratory on Technologies of Information and Communication and Electrical Engineering (LaTICE-GE), University of Tunis, Tunisia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077004840"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67194015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11285","display_name":"Hearing Impairment and Communication","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11285","display_name":"Hearing Impairment and Communication","score":0.9998000264167786,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9994999766349792,"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/T12031","display_name":"Speech and dialogue systems","score":0.9911999702453613,"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":0.8039364814758301},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.7481385469436646},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5972344875335693},{"id":"https://openalex.org/keywords/avatar","display_name":"Avatar","score":0.5962386727333069},{"id":"https://openalex.org/keywords/language-interpretation","display_name":"Language interpretation","score":0.544879674911499},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4908054769039154},{"id":"https://openalex.org/keywords/prosody","display_name":"Prosody","score":0.48621097207069397},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.48401734232902527},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.456769198179245},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.43434038758277893},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42054638266563416},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4118291139602661},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38307973742485046},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.2552129626274109},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2479161024093628}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8039364814758301},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.7481385469436646},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5972344875335693},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.5962386727333069},{"id":"https://openalex.org/C72280650","wikidata":"https://www.wikidata.org/wiki/Q210439","display_name":"Language interpretation","level":3,"score":0.544879674911499},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4908054769039154},{"id":"https://openalex.org/C542774811","wikidata":"https://www.wikidata.org/wiki/Q10880526","display_name":"Prosody","level":2,"score":0.48621097207069397},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.48401734232902527},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.456769198179245},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.43434038758277893},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42054638266563416},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4118291139602661},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38307973742485046},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2552129626274109},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2479161024093628},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icta49490.2019.9144795","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icta49490.2019.9144795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 7th International conference on ICT &amp; Accessibility (ICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W157023553","https://openalex.org/W1488647329","https://openalex.org/W1901201123","https://openalex.org/W1965403844","https://openalex.org/W1969744774","https://openalex.org/W2042229579","https://openalex.org/W2050675404","https://openalex.org/W2174125143","https://openalex.org/W2250751946","https://openalex.org/W2327790391","https://openalex.org/W2537311485","https://openalex.org/W2546327788","https://openalex.org/W2922517815","https://openalex.org/W3080717633","https://openalex.org/W6629188815"],"related_works":["https://openalex.org/W2794385750","https://openalex.org/W1498547796","https://openalex.org/W2590273899","https://openalex.org/W220928500","https://openalex.org/W2470351710","https://openalex.org/W2348960846","https://openalex.org/W4248380062","https://openalex.org/W2150892388","https://openalex.org/W4200549146","https://openalex.org/W2239478350"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,82],"deal":[4],"to":[5,18,22,86],"understand":[6],"how":[7],"the":[8,38,45,68,71,96],"conversational":[9],"agent":[10],"(avatar)":[11],"can":[12],"achieve":[13],"human-friendly":[14],"Sign":[15,42,52,75],"Language":[16,43,53,76],"interpretations":[17],"improve":[19],"web":[20],"accessibility":[21],"people":[23],"with":[24,30],"hearing":[25,28],"disability":[26],"and":[27,92,99],"impairment":[29],"a":[31,49,56],"low":[32],"level":[33],"of":[34,37,70],"literacy.":[35],"One":[36],"key":[39],"element":[40],"in":[41,51,55,60,74],"is":[44],"prosodic":[46,72,88],"pauses":[47,73,89],"during":[48],"conversation":[50],"applied":[54],"machine":[57],"translation":[58],"or":[59],"real-time":[61],"interpretation":[62],"using":[63],"assistive":[64],"technologies.":[65],"We":[66],"introduce":[67],"importance":[69],"through":[77],"several":[78],"examples.":[79],"After":[80],"that,":[81],"present":[83],"an":[84],"approach":[85],"recognize":[87],"from":[90],"Motion-Capture":[91],"Video-data":[93],"based":[94],"on":[95],"sentence":[97],"syntax":[98],"other":[100],"grammatical":[101],"features.":[102]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
