{"id":"https://openalex.org/W2544640991","doi":"https://doi.org/10.1145/2996884.2996888","title":"WISPCam","display_name":"WISPCam","publication_year":2016,"publication_date":"2016-10-31","ids":{"openalex":"https://openalex.org/W2544640991","doi":"https://doi.org/10.1145/2996884.2996888","mag":"2544640991"},"language":"en","primary_location":{"id":"doi:10.1145/2996884.2996888","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2996884.2996888","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2996888&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2996888&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024685984","display_name":"Saman Naderiparizi","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saman Naderiparizi","raw_affiliation_strings":["Electrical Engineering Department, University of Washington, Seattle, Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, University of Washington, Seattle, Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017319081","display_name":"Zerina Kapetanovic","orcid":"https://orcid.org/0000-0001-6240-5511"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zerina Kapetanovic","raw_affiliation_strings":["Electrical Engineering Department, University of Washington, Seattle, Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, University of Washington, Seattle, Washington","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019043770","display_name":"Joshua R. Smith","orcid":"https://orcid.org/0000-0002-5331-4770"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua R. Smith","raw_affiliation_strings":["Computer Science and Engineering Department, Electrical Engineering Department, University of Washington, Seattle, Washington"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, Electrical Engineering Department, University of Washington, Seattle, Washington","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":3.2273,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92864395,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9991999864578247,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9991999864578247,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9965000152587891,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.7755086421966553},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6704173684120178},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6529883742332458},{"id":"https://openalex.org/keywords/microelectronics","display_name":"Microelectronics","score":0.5115802884101868},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.44505369663238525},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43544548749923706},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.41099798679351807},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4082355201244354},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3909846246242523},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.34149718284606934},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1545625925064087},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.14271578192710876},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10847452282905579},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10084658861160278}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7755086421966553},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6704173684120178},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6529883742332458},{"id":"https://openalex.org/C187937830","wikidata":"https://www.wikidata.org/wiki/Q175403","display_name":"Microelectronics","level":2,"score":0.5115802884101868},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.44505369663238525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43544548749923706},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.41099798679351807},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4082355201244354},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3909846246242523},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.34149718284606934},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1545625925064087},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.14271578192710876},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10847452282905579},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10084658861160278}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2996884.2996888","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2996884.2996888","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2996888&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2996884.2996888","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2996884.2996888","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2996888&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th International Workshop on Energy Harvesting and Energy-Neutral Sensing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9100000262260437,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2786120324","display_name":"CI-ADDO-EN: Infrastructure for the RF-Powered Computing Community","funder_award_id":"1305072","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"},{"id":"https://openalex.org/F4320320952","display_name":"International Science and Technology Center","ror":"https://ror.org/03fn1w943"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2544640991.pdf","grobid_xml":"https://content.openalex.org/works/W2544640991.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W606208","https://openalex.org/W1563362697","https://openalex.org/W1598995842","https://openalex.org/W1832495378","https://openalex.org/W2019405222","https://openalex.org/W2095356649","https://openalex.org/W2103668120","https://openalex.org/W2108447158","https://openalex.org/W2138012948","https://openalex.org/W2145692097","https://openalex.org/W2167990963","https://openalex.org/W2410044372","https://openalex.org/W2516324830","https://openalex.org/W6633789391"],"related_works":["https://openalex.org/W1981400123","https://openalex.org/W3016525403","https://openalex.org/W1971021667","https://openalex.org/W1520169471","https://openalex.org/W3206835165","https://openalex.org/W2527728814","https://openalex.org/W1986765550","https://openalex.org/W2380711420","https://openalex.org/W1535188787","https://openalex.org/W2286895308"],"abstract_inverted_index":{"Sustained":[0],"exponential":[1],"improvements":[2],"in":[3,105,118],"the":[4,43,101],"energy":[5],"efficiency":[6],"of":[7,69,86],"microelectronics":[8],"has":[9],"recently":[10],"enabled":[11],"us":[12],"to":[13,52,57,80],"build":[14],"battery-free":[15,38],"camera":[16,39],"systems":[17],"that":[18,75,103,114],"are":[19],"powered":[20],"entirely":[21],"by":[22],"propagating":[23],"radio":[24],"waves.":[25],"This":[26,97],"paper":[27],"describes":[28],"primitive":[29],"machine":[30],"vision":[31,109],"applications":[32],"built":[33],"using":[34],"this":[35],"highly":[36,116],"constrained,":[37],"system.":[40],"After":[41],"describing":[42],"WISPCam":[44,70,79],"system":[45],"and":[46,122],"its":[47],"constraints,":[48],"we":[49,66,77],"show":[50],"how":[51],"leverage":[53],"onboard":[54],"computation":[55],"capabilities":[56],"compress":[58],"data":[59],"transmit":[60],"as":[61,63],"much":[62],"possible.":[64],"Then":[65],"demonstrate":[67],"application":[68,99,110],"for":[71],"face":[72],"detection/recognition.":[73],"To":[74],"end,":[76],"use":[78],"capture":[81],"(relatively)":[82],"high":[83,95],"resolution":[84],"images":[85],"faces,":[87],"without":[88],"ever":[89],"capturing":[90],"a":[91,107],"full":[92],"frame":[93],"at":[94],"resolution.":[96],"example":[98],"illustrates":[100],"issues":[102],"arise":[104],"partitioning":[106],"demanding":[108],"across":[111],"mobile":[112],"hardware":[113],"is":[115],"constrained":[117],"power,":[119],"storage,":[120],"computation,":[121],"communication.":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2016-11-04T00:00:00"}
