{"id":"https://openalex.org/W3012003046","doi":"https://doi.org/10.1109/sips47522.2019.9020579","title":"PRESS/HOLD/RELEASE Ultrasonic Gestures and Low Complexity Recognition Based on TCN","display_name":"PRESS/HOLD/RELEASE Ultrasonic Gestures and Low Complexity Recognition Based on TCN","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3012003046","doi":"https://doi.org/10.1109/sips47522.2019.9020579","mag":"3012003046"},"language":"en","primary_location":{"id":"doi:10.1109/sips47522.2019.9020579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips47522.2019.9020579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Workshop on Signal Processing Systems (SiPS)","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/A5103099902","display_name":"Emad A. Ibrahim","orcid":"https://orcid.org/0000-0003-1328-1887"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Emad A. Ibrahim","raw_affiliation_strings":["Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034804183","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-5304-1477"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050945839","display_name":"Jos\u00e9 Pineda de Gyvez","orcid":"https://orcid.org/0000-0002-0723-7065"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Jose Pineda de Gyvez","raw_affiliation_strings":["Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103099902"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":0.5082,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6862798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"abs 1411 4","issue":null,"first_page":"172","last_page":"177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.998199999332428,"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":0.998199999332428,"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/T10860","display_name":"Speech and Audio Processing","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.9214575290679932},{"id":"https://openalex.org/keywords/interleaving","display_name":"Interleaving","score":0.7869309186935425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6702799797058105},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.5798572301864624},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5431358814239502},{"id":"https://openalex.org/keywords/porting","display_name":"Porting","score":0.4587000906467438},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.4467502236366272},{"id":"https://openalex.org/keywords/doppler-effect","display_name":"Doppler effect","score":0.4336111545562744},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.42242830991744995},{"id":"https://openalex.org/keywords/ultrasonic-sensor","display_name":"Ultrasonic sensor","score":0.415676474571228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34982162714004517},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3388960659503937},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10936316847801208},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09754827618598938}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.9214575290679932},{"id":"https://openalex.org/C28034677","wikidata":"https://www.wikidata.org/wiki/Q17092530","display_name":"Interleaving","level":2,"score":0.7869309186935425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6702799797058105},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.5798572301864624},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5431358814239502},{"id":"https://openalex.org/C106251023","wikidata":"https://www.wikidata.org/wiki/Q851989","display_name":"Porting","level":3,"score":0.4587000906467438},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.4467502236366272},{"id":"https://openalex.org/C142757262","wikidata":"https://www.wikidata.org/wiki/Q76436","display_name":"Doppler effect","level":2,"score":0.4336111545562744},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.42242830991744995},{"id":"https://openalex.org/C81288441","wikidata":"https://www.wikidata.org/wiki/Q20736125","display_name":"Ultrasonic sensor","level":2,"score":0.415676474571228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34982162714004517},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3388960659503937},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10936316847801208},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09754827618598938},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/sips47522.2019.9020579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sips47522.2019.9020579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Workshop on Signal Processing Systems (SiPS)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/03428eef-8928-4cb9-8f4c-47b4dfbc732a","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/03428eef-8928-4cb9-8f4c-47b4dfbc732a","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ibrahim, E, Li, M & Pineda de Gyvez, J 2019, PRESS/HOLD/RELEASE ultrasonic gestures and low complexity recognition based on TCN. in Proceedings of SiPS 2019: the IEEE International Workshop on Signal Processing Systems., 9020579, Institute of Electrical and Electronics Engineers, Piscataway, pp. 172-177, 33rd IEEE Workshop on Signal Processing Systems, SiPS 2019, Nanjing, China, 20/10/19. https://doi.org/10.1109/SiPS47522.2019.9020579","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:tue:oai:pure.tue.nl:publications/03428eef-8928-4cb9-8f4c-47b4dfbc732a","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/03428eef-8928-4cb9-8f4c-47b4dfbc732a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of SiPS 2019: the IEEE International Workshop on Signal Processing Systems, 172 - 177","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1903029394","https://openalex.org/W2027800248","https://openalex.org/W2056898157","https://openalex.org/W2131425694","https://openalex.org/W2139705460","https://openalex.org/W2153200718","https://openalex.org/W2508345357","https://openalex.org/W2550433749","https://openalex.org/W2608658694","https://openalex.org/W2766441399","https://openalex.org/W2792764867","https://openalex.org/W2810614229","https://openalex.org/W4252725832","https://openalex.org/W6631190155","https://openalex.org/W6640054144","https://openalex.org/W6737053029","https://openalex.org/W6749825310"],"related_works":["https://openalex.org/W2028966255","https://openalex.org/W2466763065","https://openalex.org/W1994032303","https://openalex.org/W2029299808","https://openalex.org/W2079987883","https://openalex.org/W2242211636","https://openalex.org/W2077377051","https://openalex.org/W2004513049","https://openalex.org/W2169849734","https://openalex.org/W2016803373"],"abstract_inverted_index":{"Targeting":[0],"ultrasound-based":[1],"gesture":[2],"recognition,":[3],"this":[4],"paper":[5],"proposes":[6],"a":[7,48,57,62,65,69,85,93,102,136,143,146,155,164,187,190,235],"new":[8,30],"universal":[9],"PRESS/HOLD/RELEASE":[10,38],"approach":[11],"that":[12,182],"leverages":[13],"the":[14,74,110,114,126,171],"diversity":[15],"of":[16,32,50,64,81,116,145,157,189,204,262],"gestures":[17,33,44,207,222,263],"performed":[18,117,129],"on":[19,130,211],"smart":[20,285],"devices":[21],"such":[22,183],"as":[23,41,59,138,224,240,242,246,248],"mobile":[24],"phones":[25],"and":[26,88,105,141,234,245,266,284],"IoT":[27],"nodes.":[28],"The":[29,96,148,258],"set":[31,261],"are":[34,54,152,229,264,268],"generated":[35,134],"by":[36,56,135,272,282],"interleaving":[37],"patterns;":[39],"abbreviated":[40],"P/H/R,":[42],"with":[43,195],"like":[45],"sweeps":[46],"between":[47],"number":[49,115],"microphones.":[51],"P/H/R":[52,111,172,184,205,220,259],"patterns":[53,112,173,185],"constructed":[55],"hand":[58,75,98,137],"it":[60,139],"approaches":[61,140],"top":[63,144,188],"microphone":[66,104,191],"to":[67,83,91,101,169,270,279],"generate":[68,84,92],"virtual":[70,86,94],"Press.":[71],"After":[72],"that,":[73],"settles":[76],"for":[77,287],"an":[78,120],"undefined":[79],"period":[80],"time":[82],"Hold":[87],"finally":[89],"departs":[90,142],"Release.":[95],"same":[97],"can":[99,192],"sweep":[100],"2nd":[103],"perform":[106],"another":[107],"P/H/R.":[108],"Interleaving":[109],"expands":[113],"gestures.":[118],"Assuming":[119],"on-board":[121],"speaker":[122,237],"transmitting":[123],"ultrasonic":[124,159],"signals,":[125],"detection":[127],"is":[128],"Doppler":[131,149],"shift":[132,150],"readings":[133,151],"microphone.":[147],"presented":[153],"in":[154,253],"sequence":[156],"down-mixed":[158],"spectrogram":[160],"frames.":[161],"We":[162],"train":[163],"Temporal":[165],"Convolutional":[166],"Network":[167],"(TCN)":[168],"classify":[170],"under":[174,198],"different":[175,199],"environmental":[176],"noises.":[177],"Our":[178],"experimental":[179],"results":[180],"show":[181],"at":[186],"be":[193,280],"achieved":[194],"96.6%":[196],"accuracy":[197],"noise":[200],"conditions.":[201],"A":[202],"group":[203],"based":[206],"has":[208],"been":[209],"tested":[210],"commercially":[212],"off-the-shelf":[213],"(COTS)":[214],"Samsung":[215],"Galaxy":[216],"S7":[217],"Edge.":[218],"Different":[219],"interleaved":[221,260],"(such":[223],"sweeps,":[225],"long":[226],"taps,":[227],"etc.)":[228],"designed":[230],"using":[231,239],"two":[232],"microphones":[233],"single":[236],"while":[238],"low":[241,247],"5K":[243],"parameters":[244],"0.15":[249],"Million":[250],"operations":[251],"(MOPs)":[252],"compute":[254],"power":[255],"per":[256],"inference.":[257],"intuitive":[265],"hence":[267],"easy":[269],"learn":[271],"end":[273],"users.":[274],"This":[275],"paves":[276],"its":[277],"way":[278],"deployed":[281],"smartphones":[283],"speakers":[286],"mass":[288],"production.":[289]},"counts_by_year":[{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
