{"id":"https://openalex.org/W2763617225","doi":"https://doi.org/10.1145/3117811.3119853","title":"Demo: The Sound of Silence","display_name":"Demo: The Sound of Silence","publication_year":2017,"publication_date":"2017-10-04","ids":{"openalex":"https://openalex.org/W2763617225","doi":"https://doi.org/10.1145/3117811.3119853","mag":"2763617225"},"language":"en","primary_location":{"id":"doi:10.1145/3117811.3119853","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3117811.3119853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking","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/A5109978321","display_name":"Qian Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qian Dai","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033759584","display_name":"Jiahui Hou","orcid":"https://orcid.org/0000-0002-3340-8585"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiahui Hou","raw_affiliation_strings":["Illinois Institute of Technology, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087967463","display_name":"Panlong Yang","orcid":"https://orcid.org/0000-0003-1057-2793"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Panlong Yang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341792","display_name":"Xiangyang Li","orcid":"https://orcid.org/0000-0002-0934-0824"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Li","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455747","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0001-8296-8039"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063874702","display_name":"Xumiao Zhang","orcid":"https://orcid.org/0000-0002-3551-4074"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xumiao Zhang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109978321"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":1.0498,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.77959184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"462","last_page":"464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"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":1.0,"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":0.9923999905586243,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8601586818695068},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.7470153570175171},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6597963571548462},{"id":"https://openalex.org/keywords/word-error-rate","display_name":"Word error rate","score":0.557384192943573},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.553707480430603},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5332915782928467},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.44294098019599915},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.4382777512073517},{"id":"https://openalex.org/keywords/sign-language","display_name":"Sign language","score":0.43513089418411255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3907296359539032},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3037765622138977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8601586818695068},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.7470153570175171},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6597963571548462},{"id":"https://openalex.org/C40969351","wikidata":"https://www.wikidata.org/wiki/Q3516228","display_name":"Word error rate","level":2,"score":0.557384192943573},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.553707480430603},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5332915782928467},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.44294098019599915},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.4382777512073517},{"id":"https://openalex.org/C522192633","wikidata":"https://www.wikidata.org/wiki/Q34228","display_name":"Sign language","level":2,"score":0.43513089418411255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3907296359539032},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3037765622138977},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3117811.3119853","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3117811.3119853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"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":11,"referenced_works":["https://openalex.org/W1906915714","https://openalex.org/W2064675550","https://openalex.org/W2083587404","https://openalex.org/W2092452488","https://openalex.org/W2127141656","https://openalex.org/W2132348678","https://openalex.org/W2165457299","https://openalex.org/W2271840356","https://openalex.org/W2319920447","https://openalex.org/W2342090483","https://openalex.org/W2587277634"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W2009888974","https://openalex.org/W2355539379","https://openalex.org/W2056341223","https://openalex.org/W4231410700","https://openalex.org/W4237770763","https://openalex.org/W2592948570"],"abstract_inverted_index":{"Sign":[0],"Language":[1],"is":[2,29,42],"a":[3,142,152,196],"natural":[4],"and":[5,11,33,35,63,66,69,90,134,173],"fully-fledged":[6],"communication":[7],"method":[8],"for":[9,141,195],"deaf":[10],"hearing-impaired":[12],"people.":[13],"In":[14,86],"this":[15,87],"demo,":[16],"we":[17],"propose":[18],"the":[19,45,110,170,190],"first":[20],"SmartWatch-based":[21],"American":[22],"sign":[23,50],"language":[24],"(ASL)":[25],"recognition":[26],"system,":[27],"which":[28,56],"more":[30],"comfortable,":[31],"portable":[32],"user-friendly":[34],"offers":[36],"accessibility":[37],"anytime,":[38],"anywhere.":[39],"This":[40],"system":[41,116,150,183],"based":[43,97],"on":[44,98],"intuitive":[46],"idea":[47],"that":[48],"each":[49],"has":[51,151],"its":[52],"specific":[53],"motion":[54],"pattern":[55],"can":[57,93,160],"be":[58,94],"transformed":[59],"into":[60],"unique":[61],"gyroscope":[62],"accelerometer":[64],"signals":[65],"then":[67],"analyzed":[68],"learned":[70],"by":[71,130],"using":[72],"Long-Short":[73],"term":[74],"memory":[75],"recurrent":[76],"neural":[77],"network":[78],"(LSTM-RNN)":[79],"trained":[80],"with":[81],"connectionist":[82],"temporal":[83],"classification":[84],"(CTC).":[85],"way,":[88],"signs":[89,133,200],"context":[91],"information":[92],"correctly":[95],"recognized":[96],"an":[99,118,162,175],"off-the-shelf":[100],"device":[101],"(eg.":[102],"SmartWatch,":[103],"Smartphone).":[104],"The":[105,145],"experiments":[106],"show":[107],"that,":[108],"in":[109,201],"Known":[111],"user":[112],"split":[113],"task,":[114],"our":[115,149,182],"reaches":[117],"average":[119,163,176],"word":[120,164],"error":[121,165],"rate":[122,166],"of":[123,167,179,198],"7.29%":[124],"to":[125,139],"recognize":[126],"73":[127],"sentences":[128],"formed":[129],"103":[131],"ASL":[132,187],"achieves":[135],"detection":[136,177],"ratio":[137,178],"up":[138],"93.7%":[140],"single":[143],"sign.":[144],"result":[146],"also":[147],"shows":[148],"good":[153],"adaptation,":[154],"even":[155],"including":[156],"new":[157],"users,":[158],"it":[159],"achieve":[161],"21.6%":[168],"at":[169],"sentence":[171,197],"level":[172],"reach":[174],"79.4%.":[180],"Moreover,":[181],"performs":[184],"real":[185],"time":[186],"translation,":[188],"outputting":[189],"speech":[191],"within":[192],"1.69":[193],"seconds":[194],"12":[199],"average.":[202]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
