{"id":"https://openalex.org/W4206066496","doi":"https://doi.org/10.23919/eusipco54536.2021.9616111","title":"Body and Head Orientation Estimation with Privacy Preserving LiDAR Sensors","display_name":"Body and Head Orientation Estimation with Privacy Preserving LiDAR Sensors","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W4206066496","doi":"https://doi.org/10.23919/eusipco54536.2021.9616111"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco54536.2021.9616111","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616111","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-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/A5053922060","display_name":"Onur N. Tepencelik","orcid":"https://orcid.org/0000-0002-6389-9186"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Onur N. Tepencelik","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of California San Diego, San Diego, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of California San Diego, San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029672888","display_name":"Wenchuan Wei","orcid":"https://orcid.org/0000-0001-5469-2653"},"institutions":[{"id":"https://openalex.org/I160856358","display_name":"University of San Diego","ror":"https://ror.org/03jbbze48","country_code":"US","type":"education","lineage":["https://openalex.org/I160856358"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenchuan Wei","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, San Diego, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, San Diego, USA","institution_ids":["https://openalex.org/I160856358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081829595","display_name":"Leanne Chukoskie","orcid":"https://orcid.org/0000-0003-4041-3646"},"institutions":[{"id":"https://openalex.org/I4210087596","display_name":"Qualcomm (United States)","ror":"https://ror.org/002zrf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087596"]},{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leanne Chukoskie","raw_affiliation_strings":["Qualcomm Institute, University of California San Diego, San Diego, USA"],"affiliations":[{"raw_affiliation_string":"Qualcomm Institute, University of California San Diego, San Diego, USA","institution_ids":["https://openalex.org/I4210087596","https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068804724","display_name":"Pamela C. Cosman","orcid":"https://orcid.org/0000-0002-4012-0176"},"institutions":[{"id":"https://openalex.org/I160856358","display_name":"University of San Diego","ror":"https://ror.org/03jbbze48","country_code":"US","type":"education","lineage":["https://openalex.org/I160856358"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pamela C. Cosman","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, San Diego, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, San Diego, USA","institution_ids":["https://openalex.org/I160856358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105369696","display_name":"Sujit Dey","orcid":"https://orcid.org/0000-0001-9671-3950"},"institutions":[{"id":"https://openalex.org/I160856358","display_name":"University of San Diego","ror":"https://ror.org/03jbbze48","country_code":"US","type":"education","lineage":["https://openalex.org/I160856358"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sujit Dey","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, San Diego, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, San Diego, USA","institution_ids":["https://openalex.org/I160856358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053922060"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":1.7656,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8773842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"766","last_page":"770"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9847000241279602,"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/orientation","display_name":"Orientation (vector space)","score":0.765654444694519},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7291357517242432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7284461855888367},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6987674236297607},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.6027719378471375},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5389708876609802},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.4711650311946869},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.43673932552337646},{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.4202689230442047},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.14864963293075562},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13110297918319702},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10137394070625305}],"concepts":[{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.765654444694519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7291357517242432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7284461855888367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6987674236297607},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6027719378471375},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5389708876609802},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.4711650311946869},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.43673932552337646},{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.4202689230442047},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.14864963293075562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13110297918319702},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10137394070625305},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco54536.2021.9616111","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco54536.2021.9616111","pdf_url":null,"source":{"id":"https://openalex.org/S4363607854","display_name":"2021 29th European Signal Processing Conference (EUSIPCO)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3652138252","display_name":null,"funder_award_id":"DUE-1928604","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W9783904","https://openalex.org/W1643185111","https://openalex.org/W1734489760","https://openalex.org/W1960395571","https://openalex.org/W1974744233","https://openalex.org/W1981609785","https://openalex.org/W1999849826","https://openalex.org/W2010985691","https://openalex.org/W2031596184","https://openalex.org/W2038643807","https://openalex.org/W2044271997","https://openalex.org/W2047314391","https://openalex.org/W2150585588","https://openalex.org/W2592288994","https://openalex.org/W2887064953","https://openalex.org/W2919461048","https://openalex.org/W3003772167","https://openalex.org/W3047202408","https://openalex.org/W6637616170"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4281783339","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W4320086129"],"abstract_inverted_index":{"Body":[0],"and":[1,17,36,90,111,147,155,188,225],"head":[2,37,112,136,156,189,229],"orientation":[3,113,126,137,157,190,224],"estimation":[4,127,138,158,191,217],"is":[5,140,184],"important":[6],"in":[7,56,206],"many":[8],"applications":[9],"such":[10,59],"as":[11,60],"pedestrian":[12],"protection,":[13],"movement":[14],"prediction,":[15],"robotics,":[16],"behavioral":[18],"analysis.":[19],"In":[20],"this":[21,183],"paper,":[22],"we":[23],"propose":[24],"a":[25,42,77,141,203,214],"system":[26,165,192],"that":[27],"uses":[28,129,166],"privacy":[29],"preserving":[30],"LiDAR":[31,122,167],"sensors":[32,168,195,199],"to":[33,48,73,169],"estimate":[34],"body":[35,110,125,154,187,223],"orientations":[38],"of":[39,44,85,143,180,208,219],"people,":[40],"with":[41,63,99,152],"motivation":[43],"providing":[45],"guidance":[46],"feedback":[47,101],"individuals":[49,62],"who":[50,71],"face":[51],"nonverbal":[52],"social":[53],"communication":[54],"challenges":[55],"workplace":[57],"settings,":[58],"some":[61],"Autism":[64],"Spectrum":[65],"Disorder":[66],"(ASD).":[67],"For":[68],"example,":[69],"people":[70],"tend":[72],"look":[74],"away":[75],"from":[76,120],"speaker":[78],"could":[79,95],"be":[80,96],"coached":[81],"on":[82,103],"the":[83,135,178,185,198,209],"importance":[84],"periodically":[86],"making":[87],"eye":[88],"contact":[89],"showing":[91],"overt":[92],"attention,":[93],"or":[94],"discreetly":[97],"provided":[98],"real-time":[100],"based":[102],"present":[104],"behavior.":[105],"We":[106],"developed":[107],"models":[108],"for":[109,196,222,228],"estimation,":[114],"using":[115,160,193],"low-resolution":[116],"point":[117],"cloud":[118],"data":[119],"two":[121],"sensors.":[123],"The":[124],"model":[128,139,212],"an":[130],"ellipse":[131],"fitting":[132],"method":[133],"while":[134,173],"pipeline":[142],"geometric":[144],"feature":[145],"extraction":[146],"neural":[148],"network-based":[149],"regression.":[150],"Compared":[151],"other":[153],"systems":[159],"RGB":[161],"cameras,":[162],"our":[163,181],"proposed":[164],"preserve":[170],"user":[171],"privacy,":[172],"achieving":[174],"comparable":[175],"accuracy.":[176],"To":[177],"best":[179],"knowledge,":[182],"first":[186],"depth":[194],"which":[197],"do":[200],"not":[201],"require":[202],"specified":[204],"placement":[205],"front":[207],"subject.":[210],"Our":[211],"achieves":[213],"mean":[215],"absolute":[216],"error":[218],"8.4":[220],"degrees":[221,227],"16.5":[226],"orientation.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
