{"id":"https://openalex.org/W4396879090","doi":"https://doi.org/10.1145/3647444.3652483","title":"Utilizing Smartwatches and Deep Learning Models for Enhanced Avalanche Victim Identification, Localization, and Efficient Recovery Strategies: An In-depth Study","display_name":"Utilizing Smartwatches and Deep Learning Models for Enhanced Avalanche Victim Identification, Localization, and Efficient Recovery Strategies: An In-depth Study","publication_year":2023,"publication_date":"2023-11-23","ids":{"openalex":"https://openalex.org/W4396879090","doi":"https://doi.org/10.1145/3647444.3652483"},"language":"en","primary_location":{"id":"doi:10.1145/3647444.3652483","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3647444.3652483","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3647444.3652483","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management & Machine Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3647444.3652483","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5098009676","display_name":"Khyati Jha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khyati Jha","raw_affiliation_strings":["Department of Computer Science, Dronacharya Group of Institutions, India"],"raw_orcid":"https://orcid.org/0009-0004-8606-057X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Dronacharya Group of Institutions, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098009677","display_name":"Mansi Pasbola","orcid":"https://orcid.org/0009-0006-1134-6180"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mansi Pasbola","raw_affiliation_strings":["Department of Computer Science, Dronacharya Group of Institutions, India"],"raw_orcid":"https://orcid.org/0009-0006-1134-6180","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Dronacharya Group of Institutions, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065498276","display_name":"Hari Mohan","orcid":"https://orcid.org/0000-0003-2557-3510"},"institutions":[{"id":"https://openalex.org/I4210143508","display_name":"International Information Technologies University","ror":"https://ror.org/042dtza69","country_code":"KZ","type":"education","lineage":["https://openalex.org/I4210143508"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Hari Mohan Rai","raw_affiliation_strings":["Faculty of Computer Technologies and Cyber Security, International University of Information Technology, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0003-2557-3510","affiliations":[{"raw_affiliation_string":"Faculty of Computer Technologies and Cyber Security, International University of Information Technology, Kazakhstan","institution_ids":["https://openalex.org/I4210143508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088720768","display_name":"Saule Amanzholova","orcid":"https://orcid.org/0000-0002-6779-9393"},"institutions":[{"id":"https://openalex.org/I4210143508","display_name":"International Information Technologies University","ror":"https://ror.org/042dtza69","country_code":"KZ","type":"education","lineage":["https://openalex.org/I4210143508"]}],"countries":["KZ"],"is_corresponding":false,"raw_author_name":"Saule Amanzholova","raw_affiliation_strings":["Faculty of Computer Technologies and Cyber Security, International University of Information Technology, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0002-6779-9393","affiliations":[{"raw_affiliation_string":"Faculty of Computer Technologies and Cyber Security, International University of Information Technology, Kazakhstan","institution_ids":["https://openalex.org/I4210143508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3037,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.839898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9765999913215637,"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":0.9765999913215637,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9415000081062317,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9397000074386597,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/smartwatch","display_name":"Smartwatch","score":0.8599259853363037},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7446521520614624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.666035532951355},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5412946939468384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4985678195953369},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3560101389884949},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3325880765914917},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.2526436448097229},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.14304956793785095}],"concepts":[{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.8599259853363037},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7446521520614624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.666035532951355},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5412946939468384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4985678195953369},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3560101389884949},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3325880765914917},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.2526436448097229},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.14304956793785095},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3647444.3652483","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3647444.3652483","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3647444.3652483","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management & Machine Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3647444.3652483","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3647444.3652483","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3647444.3652483","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management & Machine Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396879090.pdf","grobid_xml":"https://content.openalex.org/works/W4396879090.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1841025424","https://openalex.org/W2023662846","https://openalex.org/W2546888793","https://openalex.org/W2791443493","https://openalex.org/W2796273481","https://openalex.org/W2946696437","https://openalex.org/W3021121258","https://openalex.org/W3093231035","https://openalex.org/W3127949516","https://openalex.org/W3136367749","https://openalex.org/W3176424592","https://openalex.org/W3198728103","https://openalex.org/W3208871204","https://openalex.org/W4231102206","https://openalex.org/W4296904439","https://openalex.org/W4376609755"],"related_works":["https://openalex.org/W4235505747","https://openalex.org/W2509150193","https://openalex.org/W2399063318","https://openalex.org/W2762811937","https://openalex.org/W2757470104","https://openalex.org/W3123444836","https://openalex.org/W2000367546","https://openalex.org/W4387817412","https://openalex.org/W2752611676","https://openalex.org/W4380075502"],"abstract_inverted_index":{"This":[0,115],"article":[1],"explores":[2],"the":[3,15,32,87,121,176,189,227],"transformative":[4],"impact":[5],"of":[6,34,62,123,188,192,215,229],"modern":[7],"technology":[8],"on":[9],"avalanche":[10,63,72,91,113,166,180,200,209],"response":[11,224],"and":[12,40,52,78,104,125,147,162,220],"safety,":[13],"addressing":[14],"longstanding":[16],"challenges":[17],"associated":[18,164],"with":[19,49,75,80,140,165],"avalanches":[20,25],"in":[21,38,58,71,226],"mountainous":[22],"regions.":[23],"Historically,":[24],"have":[26,56,66,85],"presented":[27],"significant":[28],"dangers,":[29],"compounded":[30],"by":[31],"difficulties":[33],"conducting":[35],"rescue":[36,127],"operations":[37],"remote":[39],"harsh":[41],"environments.":[42],"However,":[43],"recent":[44],"technological":[45],"advancements,":[46],"including":[47],"smartwatches":[48],"SOS":[50,76],"features":[51,77],"specialized":[53],"mobile":[54,81],"applications,":[55],"ushered":[57],"a":[59,98,205],"new":[60],"era":[61],"safety.":[64,73],"Smartwatches":[65],"emerged":[67],"as":[68],"crucial":[69],"tools":[70],"Equipped":[74],"synchronized":[79],"apps,":[82],"these":[83,170],"devices":[84],"revolutionized":[86],"way":[88],"we":[89,96],"approach":[90,116],"emergencies.":[92],"In":[93],"this":[94,158,193,230],"study,":[95],"propose":[97],"methodology":[99,131,174,194],"that":[100],"leverages":[101],"smartwatch":[102],"data":[103,134],"deep":[105],"learning":[106,151],"models":[107,152],"to":[108,118,143,156,198],"detect":[109],"individuals":[110],"buried":[111],"under":[112],"debris.":[114],"aims":[117],"significantly":[119],"improve":[120],"chances":[122],"successful":[124],"timely":[126],"operations.":[128],"The":[129,202],"proposed":[130],"involves":[132],"collecting":[133],"from":[135],"smartwatches,":[136],"which":[137],"are":[138,153],"equipped":[139],"various":[141],"sensors":[142],"monitor":[144],"location,":[145],"movement,":[146],"environmental":[148],"conditions.":[149],"Deep":[150],"then":[154],"deployed":[155],"analyze":[157],"data,":[159],"identifying":[160],"patterns":[161],"anomalies":[163],"incidents.":[167],"By":[168],"harnessing":[169],"advanced":[171],"technologies,":[172],"our":[173],"offers":[175],"potential":[177],"for":[178],"real-time":[179],"detection,":[181],"thereby":[182],"enhancing":[183],"overall":[184],"safety":[185,210],"outcomes.":[186],"One":[187],"key":[190],"strengths":[191],"is":[195],"its":[196],"adaptability":[197],"diverse":[199],"scenarios.":[201],"study":[203],"envisions":[204],"future":[206],"where":[207],"technology-driven":[208],"becomes":[211],"an":[212],"integral":[213],"component":[214],"outdoor":[216],"activities,":[217],"mitigating":[218],"risks":[219],"enabling":[221],"more":[222],"effective":[223],"strategies":[225],"face":[228],"natural":[231],"hazard.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}