{"id":"https://openalex.org/W3214101066","doi":"https://doi.org/10.1145/3485730.3485933","title":"Sense Me on the Ride","display_name":"Sense Me on the Ride","publication_year":2021,"publication_date":"2021-11-11","ids":{"openalex":"https://openalex.org/W3214101066","doi":"https://doi.org/10.1145/3485730.3485933","mag":"3214101066"},"language":"en","primary_location":{"id":"doi:10.1145/3485730.3485933","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485730.3485933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems","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/A5101916383","display_name":"Haotian Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haotian Jiang","raw_affiliation_strings":["School of Software and BNRist, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Software and BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720453","display_name":"Jiacheng Zhang","orcid":"https://orcid.org/0000-0002-2311-7629"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Zhang","raw_affiliation_strings":["School of Software and BNRist, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Software and BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101563432","display_name":"Xiuzhen Guo","orcid":"https://orcid.org/0000-0002-8655-8130"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuzhen Guo","raw_affiliation_strings":["School of Software and BNRist, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Software and BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060129988","display_name":"Yuan He","orcid":"https://orcid.org/0000-0002-6676-4009"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan He","raw_affiliation_strings":["School of Software and BNRist, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"School of Software and BNRist, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101916383"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":3.3089,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.92837226,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"125","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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/T12079","display_name":"IoT Networks and Protocols","score":0.9961000084877014,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6935467720031738},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5504691004753113},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5057268142700195},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4894513189792633},{"id":"https://openalex.org/keywords/frequency-offset","display_name":"Frequency offset","score":0.4713282883167267},{"id":"https://openalex.org/keywords/multiplicative-noise","display_name":"Multiplicative noise","score":0.44867703318595886},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.4305024743080139},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.4163036644458771},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.367853581905365},{"id":"https://openalex.org/keywords/orthogonal-frequency-division-multiplexing","display_name":"Orthogonal frequency-division multiplexing","score":0.3210528492927551},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.31622862815856934},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.20388054847717285},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1710296869277954},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.11567661166191101}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6935467720031738},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5504691004753113},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5057268142700195},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4894513189792633},{"id":"https://openalex.org/C49319798","wikidata":"https://www.wikidata.org/wiki/Q5502874","display_name":"Frequency offset","level":4,"score":0.4713282883167267},{"id":"https://openalex.org/C18015164","wikidata":"https://www.wikidata.org/wiki/Q6935000","display_name":"Multiplicative noise","level":5,"score":0.44867703318595886},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.4305024743080139},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.4163036644458771},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.367853581905365},{"id":"https://openalex.org/C40409654","wikidata":"https://www.wikidata.org/wiki/Q375889","display_name":"Orthogonal frequency-division multiplexing","level":3,"score":0.3210528492927551},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.31622862815856934},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.20388054847717285},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1710296869277954},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.11567661166191101},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.0},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3485730.3485933","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485730.3485933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1947853012","https://openalex.org/W1967214157","https://openalex.org/W1991045167","https://openalex.org/W2079424416","https://openalex.org/W2103868202","https://openalex.org/W2294748733","https://openalex.org/W2300484078","https://openalex.org/W2523934390","https://openalex.org/W2548765505","https://openalex.org/W2615463707","https://openalex.org/W2756053574","https://openalex.org/W2762660266","https://openalex.org/W2791862000","https://openalex.org/W2794756467","https://openalex.org/W2855857260","https://openalex.org/W2897106987","https://openalex.org/W2932569000","https://openalex.org/W2952763095","https://openalex.org/W2962319395","https://openalex.org/W2963830709","https://openalex.org/W2964988056","https://openalex.org/W2966711361","https://openalex.org/W2968574621","https://openalex.org/W2969704832","https://openalex.org/W2973010884","https://openalex.org/W2974562462","https://openalex.org/W2979773572","https://openalex.org/W2981919281","https://openalex.org/W2982289812","https://openalex.org/W2982457460","https://openalex.org/W2997035981","https://openalex.org/W3033228838","https://openalex.org/W3033990438","https://openalex.org/W3044663159","https://openalex.org/W3047456034","https://openalex.org/W3077681484","https://openalex.org/W3081896252","https://openalex.org/W3087772852","https://openalex.org/W3087859191","https://openalex.org/W3093489396","https://openalex.org/W3094638159","https://openalex.org/W3097006309","https://openalex.org/W3103144676","https://openalex.org/W3108124689","https://openalex.org/W3110146063","https://openalex.org/W3110234187","https://openalex.org/W3129882829","https://openalex.org/W3160130607"],"related_works":["https://openalex.org/W2080629382","https://openalex.org/W2547842272","https://openalex.org/W2155540954","https://openalex.org/W2539608886","https://openalex.org/W2168469689","https://openalex.org/W2370399950","https://openalex.org/W1671983867","https://openalex.org/W1973454056","https://openalex.org/W2374342056","https://openalex.org/W2355410874"],"abstract_inverted_index":{"Wireless":[0],"sensing":[1,28,54,126],"has":[2,12],"great":[3],"significance":[4],"in":[5,17,113],"Internet":[6],"of":[7,66,73,110,138,144],"Things":[8],"(IoT)":[9],"applications":[10],"and":[11,86,92,106],"attracted":[13],"substantial":[14],"research":[15],"interests":[16],"academia.":[18],"In":[19],"this":[20],"study,":[21],"we":[22],"propose":[23],"Palantir,":[24],"a":[25,107,128],"first-of-its-kind":[26],"long-range":[27,47],"system":[29],"based":[30],"on":[31],"the":[32,38,64,70,114,145],"LoRa":[33],"backscatter":[34,41],"technology.":[35],"By":[36],"utilizing":[37],"ON-OFF-Keying":[39],"modulated":[40],"signals,":[42],"Palantir":[43,67,91,122],"can":[44,123],"perform":[45,124],"fine-grained":[46],"cyclist":[48],"sensing.":[49],"Our":[50],"findings":[51],"show":[52],"that":[53,121,137],"is":[55,103,117,135,149],"more":[56],"susceptible":[57],"to":[58,131],"channel":[59],"quality":[60],"than":[61],"communication.":[62],"Hence,":[63],"design":[65],"particularly":[68],"addresses":[69],"critical":[71],"challenges":[72],"signal":[74],"processing,":[75],"such":[76],"as":[77,150,152],"amplitude":[78],"instability,":[79],"frequency":[80],"offset,":[81],"clock":[82],"drift,":[83],"spectrum":[84],"leakage,":[85],"multiplicative":[87],"noise.":[88],"We":[89],"implement":[90],"evaluate":[93],"its":[94],"performance":[95],"by":[96],"conducting":[97],"comprehensive":[98],"benchmark":[99],"experiments.":[100],"A":[101],"prototype":[102],"also":[104],"built":[105],"case":[108],"study":[109],"respiration":[111],"monitoring":[112],"real":[115],"world":[116],"implemented.":[118],"Results":[119],"demonstrate":[120],"accurate":[125],"at":[127],"range":[129],"up":[130],"100":[132],"m,":[133],"which":[134],"twice":[136],"state-of-the-art":[139],"approaches.":[140],"The":[141],"median":[142],"deviation":[143],"detected":[146],"motion":[147],"period":[148],"low":[151],"0.2%.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}