{"id":"https://openalex.org/W2000809054","doi":"https://doi.org/10.1163/156855311x614617","title":"Development of a High-Resolution Human-Specific Breath Gas Sensor for Survivor Detection in Disaster Zones","display_name":"Development of a High-Resolution Human-Specific Breath Gas Sensor for Survivor Detection in Disaster Zones","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2000809054","doi":"https://doi.org/10.1163/156855311x614617","mag":"2000809054"},"language":"en","primary_location":{"id":"doi:10.1163/156855311x614617","is_oa":false,"landing_page_url":"https://doi.org/10.1163/156855311x614617","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-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/A5102084220","display_name":"Hideki Toda","orcid":null},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hideki Toda","raw_affiliation_strings":["a    Department of Electrical and Electronic Systems, Faculty of Engineering, University of Toyama, 3190 Gofuku, Toyama 930-8555, Japan;, Email: toda@eng.u-toyama.ac.jp","Department of Electrical and Electronic Systems, Faculty of Engineering, University of Toyama, 3190 Gofuku, Toyama 930-8555, Japan;, Email: toda@eng.u-toyama.ac.jp"],"affiliations":[{"raw_affiliation_string":"a    Department of Electrical and Electronic Systems, Faculty of Engineering, University of Toyama, 3190 Gofuku, Toyama 930-8555, Japan;, Email: toda@eng.u-toyama.ac.jp","institution_ids":["https://openalex.org/I42766147"]},{"raw_affiliation_string":"Department of Electrical and Electronic Systems, Faculty of Engineering, University of Toyama, 3190 Gofuku, Toyama 930-8555, Japan;, Email: toda@eng.u-toyama.ac.jp","institution_ids":["https://openalex.org/I42766147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002360849","display_name":"Genci Capi","orcid":"https://orcid.org/0000-0003-2079-9959"},"institutions":[{"id":"https://openalex.org/I42766147","display_name":"University of Toyama","ror":"https://ror.org/0445phv87","country_code":"JP","type":"education","lineage":["https://openalex.org/I42766147"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Genci Capi","raw_affiliation_strings":["b    Department of Electrical and Electronic Systems, Faculty of Engineering, University of Toyama, 3190 Gofuku, Toyama 930-8555, Japan","Department of Electrical and Electronic Systems, Faculty of Engineering University of Toyama, 3190 Gofuku, Toyama, 930-8555, Japan"],"affiliations":[{"raw_affiliation_string":"b    Department of Electrical and Electronic Systems, Faculty of Engineering, University of Toyama, 3190 Gofuku, Toyama 930-8555, Japan","institution_ids":["https://openalex.org/I42766147"]},{"raw_affiliation_string":"Department of Electrical and Electronic Systems, Faculty of Engineering University of Toyama, 3190 Gofuku, Toyama, 930-8555, Japan","institution_ids":["https://openalex.org/I42766147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102084220"],"corresponding_institution_ids":["https://openalex.org/I42766147"],"apc_list":null,"apc_paid":null,"fwci":0.3546,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60766771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"26","issue":"3-4","first_page":"349","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.963699996471405,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/signal","display_name":"SIGNAL (programming language)","score":0.5098347067832947},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5086215734481812},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.502561092376709},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.47694817185401917},{"id":"https://openalex.org/keywords/respiration","display_name":"Respiration","score":0.4727260172367096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4636154770851135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4218376576900482},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4094794988632202},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.33016276359558105},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32360678911209106},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3121836483478546},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.19709154963493347},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14725038409233093}],"concepts":[{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5098347067832947},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5086215734481812},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.502561092376709},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.47694817185401917},{"id":"https://openalex.org/C182215343","wikidata":"https://www.wikidata.org/wiki/Q472287","display_name":"Respiration","level":2,"score":0.4727260172367096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4636154770851135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4218376576900482},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4094794988632202},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.33016276359558105},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32360678911209106},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3121836483478546},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.19709154963493347},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14725038409233093},{"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1163/156855311x614617","is_oa":false,"landing_page_url":"https://doi.org/10.1163/156855311x614617","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1968636801","https://openalex.org/W2012061355","https://openalex.org/W2021328313","https://openalex.org/W2028367713","https://openalex.org/W2094286243","https://openalex.org/W2118967151","https://openalex.org/W2138728841","https://openalex.org/W2156396601","https://openalex.org/W2523686221"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W4233452137","https://openalex.org/W4254857216","https://openalex.org/W405964254","https://openalex.org/W2045758229","https://openalex.org/W4231626925","https://openalex.org/W2962829499","https://openalex.org/W1891287906","https://openalex.org/W2398963826","https://openalex.org/W2033423548"],"abstract_inverted_index":{"Abstract":[0],"This":[1,16],"paper":[2],"presents":[3],"a":[4,26,55,136],"new":[5],"type":[6],"of":[7,22,29,76,118,131],"ultrasonic":[8],"gas":[9,23,115],"molecule":[10],"concentration":[11,24,41],"sensor":[12,52,86,152],"for":[13,142,144,155],"rescue":[14],"robotics.":[15],"device":[17],"can":[18],"measure":[19],"the":[20,39,50,73,91,98,101,119,124,128,132,150],"change":[21],"with":[25,66],"sampling":[27],"rate":[28],"over":[30,67],"400":[31],"kHz.":[32],"The":[33,46,103],"performance":[34],"is":[35,95],"evaluated":[36],"by":[37,110],"measuring":[38],"CO2":[40],"in":[42,135,158],"human":[43],"respiration":[44,78,133],"gas.":[45,79,125],"experiments":[47],"show":[48],"that":[49,84,139],"proposed":[51,112,151],"could":[53,87,106],"detect":[54],"difference":[56],"between":[57],"5%":[58],"CO2-containing":[59],"air,":[60],"humidified":[61],"air":[62,65],"and":[63],"dry":[64],"50":[68],"dB":[69],"signal-to-noise,":[70],"which":[71,94],"are":[72],"main":[74],"components":[75],"our":[77,85],"Another":[80],"important":[81],"result":[82],"was":[83,140],"give":[88],"information":[89],"about":[90],"'dead":[92,104],"space',":[93],"distributed":[96,114],"from":[97],"lungs":[99],"to":[100,122],"mouth.":[102],"space'":[105],"not":[107],"be":[108],"detected":[109],"previously":[111],"commercially":[113],"sensors":[116],"because":[117],"time":[120],"needed":[121],"analyze":[123],"We":[126],"verified":[127],"distance":[129],"dependency":[130],"detection":[134],"open":[137],"space":[138],"considered":[141],"use":[143],"finding":[145,156],"survivors.":[146],"These":[147],"results":[148],"make":[149],"especially":[153],"applicable":[154],"survivors":[157],"disaster":[159],"zones.":[160],"Keywords:":[161],"HUMAN":[162],"RESPIRATION":[163],"SENSORULTRASOUNDHIGH":[164],"SAMPLING":[165],"RATERESCUE":[166],"ROBOTICS":[167]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
