{"id":"https://openalex.org/W4281644999","doi":"https://doi.org/10.1145/3539489.3539587","title":"PetTrack","display_name":"PetTrack","publication_year":2022,"publication_date":"2022-05-31","ids":{"openalex":"https://openalex.org/W4281644999","doi":"https://doi.org/10.1145/3539489.3539587"},"language":"en","primary_location":{"id":"doi:10.1145/3539489.3539587","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3539489.3539587","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3539489.3539587","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 Workshop on Body-centric Computing Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3539489.3539587","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065478836","display_name":"Neeraj Alavala","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Neeraj Alavala","raw_affiliation_strings":["Microsoft"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056252602","display_name":"Haige Chen","orcid":"https://orcid.org/0000-0002-0582-5357"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haige Chen","raw_affiliation_strings":["Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057639860","display_name":"Rishabh Singhal","orcid":"https://orcid.org/0000-0002-6021-4778"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rishabh Singhal","raw_affiliation_strings":["Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073611411","display_name":"Ashutosh Dhekne","orcid":"https://orcid.org/0000-0001-6272-8521"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ashutosh Dhekne","raw_affiliation_strings":["Georgia Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065478836"],"corresponding_institution_ids":["https://openalex.org/I4210164937"],"apc_list":null,"apc_paid":null,"fwci":0.5488,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62865835,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9972000122070312,"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/T11448","display_name":"Face recognition and analysis","score":0.9886000156402588,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.810173749923706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7278180718421936},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5510073304176331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5313100814819336},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5260193943977356},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5144074559211731},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4763607978820801},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.45992976427078247},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4569947123527527},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.17890822887420654}],"concepts":[{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.810173749923706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7278180718421936},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5510073304176331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5313100814819336},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5260193943977356},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5144074559211731},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4763607978820801},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.45992976427078247},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4569947123527527},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.17890822887420654},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539489.3539587","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3539489.3539587","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3539489.3539587","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 Workshop on Body-centric Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3539489.3539587","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3539489.3539587","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3539489.3539587","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 Workshop on Body-centric Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281644999.pdf","grobid_xml":"https://content.openalex.org/works/W4281644999.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W2001123119","https://openalex.org/W2171785275","https://openalex.org/W2236623899","https://openalex.org/W2578085927","https://openalex.org/W2890512644","https://openalex.org/W2927614174","https://openalex.org/W3111877556","https://openalex.org/W3113293285","https://openalex.org/W3146431201","https://openalex.org/W4224272666","https://openalex.org/W4233742331","https://openalex.org/W6759412955"],"related_works":["https://openalex.org/W2765080098","https://openalex.org/W2385749422","https://openalex.org/W2009888974","https://openalex.org/W2355290145","https://openalex.org/W2353465659","https://openalex.org/W3023105672","https://openalex.org/W2355539379","https://openalex.org/W4231410700","https://openalex.org/W4237770763","https://openalex.org/W2706752825"],"abstract_inverted_index":{"Tracking":[0],"a":[1,67,101,133,148,162],"pet\u2019s":[2,35,96,120,127,138],"location":[3,139],"and":[4,65,80,90,140,156],"activity":[5],"indoors":[6,164],"is":[7,40,142],"of":[8,25,70,160],"acute":[9],"interest":[10,26],"to":[11,16,19,27,48,55,94,108,114,117,144,168],"pet":[12,21,28,43,163],"owners":[13,29],"who":[14,30],"want":[15],"feel":[17,31],"connected":[18],"their":[20,34],"as":[22,24],"well":[23,61],"concerned":[32],"about":[33],"well-being.":[36],"Today,":[37],"such":[38],"tracking":[39,161],"performed":[41],"using":[42,86,129],"cameras.":[44],"However,":[45],"cameras":[46],"need":[47],"be":[49],"installed":[50],"in":[51,62,112],"every":[52],"room":[53],"accessible":[54],"the":[56,63,95,119,126,145],"pet,":[57],"do":[58],"not":[59],"work":[60],"dark,":[64],"generate":[66],"tremendous":[68],"amount":[69],"data.":[71],"In":[72],"this":[73,154,170],"paper":[74],"we":[75],"develop":[76,100],"an":[77,91],"indoor":[78],"localization":[79,115],"pose":[81,128,141],"detection":[82],"system":[83],"for":[84,105],"pets":[85],"ultra-wideband":[87],"(UWB)":[88],"radios":[89],"accelerometer":[92,110,130],"affixed":[93],"collar.":[97],"We":[98,152],"also":[99],"new":[102,158],"message":[103],"format":[104],"UWB":[106],"packets":[107],"carry":[109],"data":[111,116,131],"addition":[113],"estimate":[118],"pose.":[121],"Our":[122],"pose-estimation":[123],"logic":[124],"detects":[125],"via":[132,147],"K-nearest":[134],"neighbor":[135],"classifier.":[136],"The":[137],"shown":[143],"pet-owner":[146],"functional":[149],"mobile":[150],"application.":[151],"believe":[153],"cost-effective":[155],"efficient":[157],"way":[159],"will":[165],"inspire":[166],"others":[167],"extend":[169],"research":[171],"further.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-06-13T00:00:00"}