{"id":"https://openalex.org/W2547386464","doi":"https://doi.org/10.1145/2994551.2996711","title":"dBHound","display_name":"dBHound","publication_year":2016,"publication_date":"2016-11-04","ids":{"openalex":"https://openalex.org/W2547386464","doi":"https://doi.org/10.1145/2994551.2996711","mag":"2547386464"},"language":"en","primary_location":{"id":"doi:10.1145/2994551.2996711","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2994551.2996711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems CD-ROM","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":null,"display_name":"Anantharaghavan Sridhar","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anantharaghavan Sridhar","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, Wisconsin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, Wisconsin","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071444242","display_name":"Neil Klingensmith","orcid":"https://orcid.org/0000-0003-4047-5070"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Klingensmith","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, Wisconsin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, Wisconsin","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105422222","display_name":"Suman Banerjee","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suman Banerjee","raw_affiliation_strings":["University of Wisconsin-Madison, Madison, Wisconsin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison, Madison, Wisconsin","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"370","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.992900013923645,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.992900013923645,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7703758478164673},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.6437889337539673},{"id":"https://openalex.org/keywords/decibel","display_name":"Decibel","score":0.6400170922279358},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6366800665855408},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6126498579978943},{"id":"https://openalex.org/keywords/occupancy","display_name":"Occupancy","score":0.5456966757774353},{"id":"https://openalex.org/keywords/mobile-computing","display_name":"Mobile computing","score":0.4137921929359436},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.387450635433197},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35022300481796265},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23012065887451172},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.20694378018379211},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1966867744922638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14726486802101135},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1373247504234314},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10385653376579285}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7703758478164673},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.6437889337539673},{"id":"https://openalex.org/C204358264","wikidata":"https://www.wikidata.org/wiki/Q5329","display_name":"Decibel","level":2,"score":0.6400170922279358},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6366800665855408},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6126498579978943},{"id":"https://openalex.org/C160331591","wikidata":"https://www.wikidata.org/wiki/Q7075743","display_name":"Occupancy","level":2,"score":0.5456966757774353},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.4137921929359436},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.387450635433197},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35022300481796265},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23012065887451172},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.20694378018379211},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1966867744922638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14726486802101135},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1373247504234314},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10385653376579285},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2994551.2996711","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2994551.2996711","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems CD-ROM","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1528209574","https://openalex.org/W2069962612","https://openalex.org/W2131353345","https://openalex.org/W2163239971","https://openalex.org/W2171526582"],"related_works":["https://openalex.org/W4282043467","https://openalex.org/W4246990065","https://openalex.org/W575641463","https://openalex.org/W2105697914","https://openalex.org/W2319191230","https://openalex.org/W4243614681","https://openalex.org/W4230765260","https://openalex.org/W2433167977","https://openalex.org/W3093197249","https://openalex.org/W2047037652"],"abstract_inverted_index":{"We":[0,122],"present":[1],"dBHound,":[2],"a":[3,37,104,112,145],"mobile":[4,27,41,63],"sensing":[5,80],"analytics":[6],"app":[7],"for":[8,17],"tracking":[9],"room":[10],"occupancy":[11,142],"and":[12,56,115,141],"activities":[13,108],"while":[14],"preserving":[15],"privacy":[16],"users.":[18],"dBHound":[19,35],"takes":[20],"advantage":[21,69],"of":[22,59,98,107],"audio":[23,54],"sensors":[24,55,66],"available":[25],"on":[26],"devices":[28,64,81,133],"to":[29,75,102,127],"collect":[30],"data":[31,49,129],"about":[32],"the":[33,40,51,68,83,86],"environment.":[34],"is":[36,111],"layer":[38],"in":[39,91],"operating":[42],"system":[43],"API":[44],"that":[45,70,124],"gathers":[46],"decibel":[47],"(dB)":[48],"from":[50,131],"device's":[52],"onboard":[53],"strips":[57],"it":[58],"sensitive":[60],"information.":[61],"Using":[62],"as":[65],"has":[67],"users":[71],"do":[72],"not":[73],"have":[74],"purchase":[76],"or":[77],"manage":[78],"additional":[79],"within":[82],"home.":[84],"Among":[85],"different":[87],"sensor":[88],"modalities":[89],"discussed":[90],"[4,":[92],"1,":[93],"2,":[94],"5,":[95],"3]":[96],"many":[97],"which":[99],"are":[100],"limited":[101],"detecting":[103],"small":[105],"subset":[106],"in-home,":[109],"sound":[110],"highly":[113],"general":[114],"aligns":[116],"well":[117],"with":[118],"everyday":[119],"human":[120],"activity.":[121],"demonstrate":[123],"having":[125],"access":[126],"decibel-level":[128],"streams":[130],"multiple":[132],"can":[134],"give":[135],"us":[136],"more":[137],"insight":[138],"into":[139],"activity":[140],"patterns":[143],"than":[144],"single":[146],"sensor,":[147],"without":[148],"compromising":[149],"privacy.":[150]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-11-11T00:00:00"}
