{"id":"https://openalex.org/W4285090347","doi":"https://doi.org/10.3390/info13070338","title":"Improving Performance and Quantifying Uncertainty of Body-Rocking Detection Using Bayesian Neural Networks","display_name":"Improving Performance and Quantifying Uncertainty of Body-Rocking Detection Using Bayesian Neural Networks","publication_year":2022,"publication_date":"2022-07-12","ids":{"openalex":"https://openalex.org/W4285090347","doi":"https://doi.org/10.3390/info13070338"},"language":"en","primary_location":{"id":"doi:10.3390/info13070338","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13070338","pdf_url":"https://www.mdpi.com/2078-2489/13/7/338/pdf?version=1657635073","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/13/7/338/pdf?version=1657635073","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081989443","display_name":"Rafael Luiz da Silva","orcid":"https://orcid.org/0000-0001-9428-4400"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]},{"id":"https://openalex.org/I2801313472","display_name":"North Central State College","ror":"https://ror.org/04b6b6f76","country_code":"US","type":"education","lineage":["https://openalex.org/I2801313472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rafael Luiz da Silva","raw_affiliation_strings":["Department of Electrical and Computer Engineering, NC State University, Raleigh, NC 27606, USA"],"raw_orcid":"https://orcid.org/0000-0001-9428-4400","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, NC State University, Raleigh, NC 27606, USA","institution_ids":["https://openalex.org/I137902535","https://openalex.org/I2801313472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047662519","display_name":"Boxuan Zhong","orcid":"https://orcid.org/0000-0002-1024-2519"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]},{"id":"https://openalex.org/I2801313472","display_name":"North Central State College","ror":"https://ror.org/04b6b6f76","country_code":"US","type":"education","lineage":["https://openalex.org/I2801313472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Boxuan Zhong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, NC State University, Raleigh, NC 27606, USA"],"raw_orcid":"https://orcid.org/0000-0002-1024-2519","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, NC State University, Raleigh, NC 27606, USA","institution_ids":["https://openalex.org/I137902535","https://openalex.org/I2801313472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100650507","display_name":"Yuhan Chen","orcid":"https://orcid.org/0000-0003-3954-1608"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]},{"id":"https://openalex.org/I2801313472","display_name":"North Central State College","ror":"https://ror.org/04b6b6f76","country_code":"US","type":"education","lineage":["https://openalex.org/I2801313472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhan Chen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, NC State University, Raleigh, NC 27606, USA"],"raw_orcid":"https://orcid.org/0000-0003-3954-1608","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, NC State University, Raleigh, NC 27606, USA","institution_ids":["https://openalex.org/I137902535","https://openalex.org/I2801313472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024158572","display_name":"Edgar Lobat\u00f3n","orcid":"https://orcid.org/0000-0002-4056-8309"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]},{"id":"https://openalex.org/I2801313472","display_name":"North Central State College","ror":"https://ror.org/04b6b6f76","country_code":"US","type":"education","lineage":["https://openalex.org/I2801313472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edgar Lobaton","raw_affiliation_strings":["Department of Electrical and Computer Engineering, NC State University, Raleigh, NC 27606, USA"],"raw_orcid":"https://orcid.org/0000-0002-4056-8309","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, NC State University, Raleigh, NC 27606, USA","institution_ids":["https://openalex.org/I137902535","https://openalex.org/I2801313472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5081989443"],"corresponding_institution_ids":["https://openalex.org/I137902535","https://openalex.org/I2801313472"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.1389,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53564341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"13","issue":"7","first_page":"338","last_page":"338"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9876999855041504,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7113727331161499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6813881397247314},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6417925357818604},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.613980233669281},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6124449968338013},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6023213267326355},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6006871461868286},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5541092753410339},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4965391755104065},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.49502700567245483},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.4721125364303589},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4662199318408966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113727331161499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6813881397247314},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6417925357818604},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.613980233669281},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6124449968338013},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6023213267326355},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6006871461868286},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5541092753410339},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4965391755104065},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.49502700567245483},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.4721125364303589},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4662199318408966},{"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/info13070338","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13070338","pdf_url":"https://www.mdpi.com/2078-2489/13/7/338/pdf?version=1657635073","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a513630d7f914bffac26c7e6a7f1b7b5","is_oa":true,"landing_page_url":"https://doaj.org/article/a513630d7f914bffac26c7e6a7f1b7b5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 13, Iss 7, p 338 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/13/7/338/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/info13070338","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information; Volume 13; Issue 7; Pages: 338","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info13070338","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info13070338","pdf_url":"https://www.mdpi.com/2078-2489/13/7/338/pdf?version=1657635073","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G334522236","display_name":null,"funder_award_id":"CNS 1552828","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7938236046","display_name":null,"funder_award_id":"IIS 1915599","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285090347.pdf","grobid_xml":"https://content.openalex.org/works/W4285090347.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W91822453","https://openalex.org/W96656731","https://openalex.org/W1964759455","https://openalex.org/W1995875735","https://openalex.org/W2024757840","https://openalex.org/W2026636784","https://openalex.org/W2039564361","https://openalex.org/W2050085489","https://openalex.org/W2055349813","https://openalex.org/W2089272653","https://openalex.org/W2095705004","https://openalex.org/W2103328396","https://openalex.org/W2104640696","https://openalex.org/W2111051539","https://openalex.org/W2126947037","https://openalex.org/W2165698076","https://openalex.org/W2293031124","https://openalex.org/W2478248559","https://openalex.org/W2585878786","https://openalex.org/W2585991502","https://openalex.org/W2589025430","https://openalex.org/W2600383743","https://openalex.org/W2605746403","https://openalex.org/W2769293427","https://openalex.org/W2826633345","https://openalex.org/W2943838153","https://openalex.org/W2962879080","https://openalex.org/W2964059111","https://openalex.org/W2968491743","https://openalex.org/W2972600980","https://openalex.org/W2979952397","https://openalex.org/W2997626223","https://openalex.org/W3004547119","https://openalex.org/W3014453037","https://openalex.org/W3027258250","https://openalex.org/W3033294558","https://openalex.org/W3039074455","https://openalex.org/W3081344392","https://openalex.org/W3093737097","https://openalex.org/W3093945256","https://openalex.org/W3103663607","https://openalex.org/W3112995907","https://openalex.org/W3122512728","https://openalex.org/W3172986630","https://openalex.org/W4224984036","https://openalex.org/W6674330103","https://openalex.org/W6682631133","https://openalex.org/W6753412883"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W2578973671","https://openalex.org/W2215058820","https://openalex.org/W2097663773","https://openalex.org/W1602184117","https://openalex.org/W2413421635","https://openalex.org/W2511198839","https://openalex.org/W1966557338","https://openalex.org/W2366931106"],"abstract_inverted_index":{"Body-rocking":[0],"is":[1,14],"an":[2],"undesired":[3],"stereotypical":[4],"motor":[5],"movement":[6],"performed":[7],"by":[8,104,124],"some":[9],"individuals,":[10],"and":[11,18,30,88],"its":[12],"detection":[13,33],"essential":[15],"for":[16,35,83],"self-awareness":[17],"habit":[19],"change.":[20],"We":[21,72,92,131],"envision":[22],"a":[23,31,74],"pipeline":[24,75],"that":[25,40,94,133,147],"includes":[26],"inertial":[27],"wearable":[28],"sensors":[29],"real-time":[32],"system":[34],"notifying":[36],"the":[37,110,134,154],"user":[38],"so":[39],"they":[41],"are":[42,121,137],"aware":[43],"of":[44,52,141,156],"their":[45],"body-rocking":[46,168],"behavior.":[47],"For":[48],"this":[49,175],"task,":[50],"similarities":[51],"body":[53],"rocking":[54],"to":[55,69],"other":[56],"non-related":[57],"repetitive":[58],"activities":[59],"may":[60],"cause":[61],"false":[62,86],"detections":[63],"which":[64],"prevent":[65],"continuous":[66],"engagement,":[67],"leading":[68],"alarm":[70],"fatigue.":[71],"present":[73],"using":[76,127],"Bayesian":[77,111,157],"Neural":[78],"Networks":[79],"with":[80,109],"uncertainty":[81,119],"quantification":[82,120],"jointly":[84],"reducing":[85],"positives":[87],"providing":[89],"accurate":[90,167],"detection.":[91],"show":[93,132,146],"increasing":[95],"model":[96],"capacity":[97],"does":[98,113],"not":[99],"consistently":[100],"yield":[101,114],"higher":[102],"performance":[103],"itself,":[105],"while":[106],"pairing":[107],"it":[108],"approach":[112,149],"significant":[115],"improvements.":[116],"Disparities":[117],"in":[118,159,166],"better":[122],"quantified":[123],"calibrating":[125],"them":[126],"deep":[128,160],"neural":[129],"networks.":[130],"calibrated":[135],"probabilities":[136],"effective":[138],"quality":[139],"indicators":[140],"reliable":[142],"predictions.":[143],"Altogether,":[144],"we":[145],"our":[148,171],"provides":[150],"additional":[151],"insights":[152],"on":[153,174],"role":[155],"techniques":[158],"learning":[161],"as":[162,164],"well":[163],"aids":[165],"detection,":[169],"improving":[170],"prior":[172],"work":[173],"subject.":[176]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
