{"id":"https://openalex.org/W4389077816","doi":"https://doi.org/10.1109/sensors56945.2023.10325152","title":"Bayesian Filter-Based Ultrasonic Continuous Hand Gesture Recognition for Low-Resource Platform","display_name":"Bayesian Filter-Based Ultrasonic Continuous Hand Gesture Recognition for Low-Resource Platform","publication_year":2023,"publication_date":"2023-10-29","ids":{"openalex":"https://openalex.org/W4389077816","doi":"https://doi.org/10.1109/sensors56945.2023.10325152"},"language":"en","primary_location":{"id":"doi:10.1109/sensors56945.2023.10325152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors56945.2023.10325152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE SENSORS","raw_type":"proceedings-article"},"type":"conference-paper","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/A5067481247","display_name":"Pixi Kang","orcid":"https://orcid.org/0000-0003-1191-5815"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pixi Kang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University,Beijing,China,100084","Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104204246","display_name":"Lingfeng Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingfeng Gao","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University,Beijing,China,100084","Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100460327","display_name":"Xiangyu Li","orcid":"https://orcid.org/0000-0003-0094-8865"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Li","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University,Beijing,China,100084"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4408,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58161954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9904000163078308,"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":0.9878000020980835,"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":0.8060586452484131},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.7980684638023376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7620300054550171},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.638063907623291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5333350300788879},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4834345579147339},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4825820028781891},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.477827787399292},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4506079852581024},{"id":"https://openalex.org/keywords/ultrasonic-sensor","display_name":"Ultrasonic sensor","score":0.438424289226532},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.42831188440322876},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42678302526474},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3801533579826355},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36326760053634644},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.13037660717964172}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.8060586452484131},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.7980684638023376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7620300054550171},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.638063907623291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5333350300788879},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4834345579147339},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4825820028781891},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.477827787399292},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4506079852581024},{"id":"https://openalex.org/C81288441","wikidata":"https://www.wikidata.org/wiki/Q20736125","display_name":"Ultrasonic sensor","level":2,"score":0.438424289226532},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.42831188440322876},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42678302526474},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3801533579826355},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36326760053634644},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.13037660717964172},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sensors56945.2023.10325152","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors56945.2023.10325152","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE SENSORS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2510879459","https://openalex.org/W3035788522","https://openalex.org/W3039610325","https://openalex.org/W3085053693","https://openalex.org/W3113175354","https://openalex.org/W3114558802","https://openalex.org/W3118882785","https://openalex.org/W3205382111","https://openalex.org/W4285036903","https://openalex.org/W4308216424","https://openalex.org/W4318969909","https://openalex.org/W4366967172"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2028966255","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W2466763065","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W1994032303"],"abstract_inverted_index":{"This":[0],"work":[1],"proposes":[2],"a":[3,48,53],"Bayesian":[4],"filter-based":[5],"algorithm":[6],"for":[7,29],"ultrasonic":[8],"continuous":[9,30],"hand":[10,22],"gesture":[11,31],"recognition":[12,28],"on":[13,57],"low-resource":[14],"platforms.":[15],"By":[16],"using":[17],"the":[18,44],"phased":[19],"property":[20],"of":[21,65],"gestures,":[23],"our":[24],"method":[25,46],"enables":[26],"robust":[27],"streams":[32],"at":[33],"low":[34],"inference":[35,63],"frequencies":[36],"and":[37,52],"without":[38],"explicit":[39],"detection.":[40],"Experiments":[41],"show":[42],"that":[43],"proposed":[45],"achieves":[47],"93.1%":[49],"performance":[50],"accuracy":[51],"99%":[54],"intended":[55],"rate":[56],"an":[58,62],"embedded":[59],"system":[60],"supporting":[61],"frequency":[64],"only":[66],"5Hz.":[67]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}