{"id":"https://openalex.org/W4292862556","doi":"https://doi.org/10.1109/mwscas54063.2022.9859315","title":"A Fast and Efficient FPGA-based Pose Estimation Solution for IoT Applications","display_name":"A Fast and Efficient FPGA-based Pose Estimation Solution for IoT Applications","publication_year":2022,"publication_date":"2022-08-07","ids":{"openalex":"https://openalex.org/W4292862556","doi":"https://doi.org/10.1109/mwscas54063.2022.9859315"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas54063.2022.9859315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas54063.2022.9859315","pdf_url":null,"source":{"id":"https://openalex.org/S4363606568","display_name":"2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS)","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":"2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS)","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/A5100389056","display_name":"Xiang Wang","orcid":"https://orcid.org/0000-0003-0992-8553"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4391767673","display_name":"State Key Laboratory of ASIC and System","ror":"https://ror.org/01mamgv83","country_code":null,"type":"facility","lineage":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Wang","raw_affiliation_strings":["Fudan University,State Key Laboratory of ASIC and System,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of ASIC and System,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058811927","display_name":"Zikang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4391767673","display_name":"State Key Laboratory of ASIC and System","ror":"https://ror.org/01mamgv83","country_code":null,"type":"facility","lineage":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zikang Zhang","raw_affiliation_strings":["Fudan University,State Key Laboratory of ASIC and System,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of ASIC and System,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102810576","display_name":"Yi\u2010Ting Wang","orcid":"https://orcid.org/0000-0003-2008-4435"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4391767673","display_name":"State Key Laboratory of ASIC and System","ror":"https://ror.org/01mamgv83","country_code":null,"type":"facility","lineage":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiting Wang","raw_affiliation_strings":["Fudan University,State Key Laboratory of ASIC and System,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of ASIC and System,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004629662","display_name":"Chang Cai","orcid":"https://orcid.org/0000-0001-6624-8998"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4391767673","display_name":"State Key Laboratory of ASIC and System","ror":"https://ror.org/01mamgv83","country_code":null,"type":"facility","lineage":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Cai","raw_affiliation_strings":["Fudan University,State Key Laboratory of ASIC and System,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of ASIC and System,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006212733","display_name":"Gengsheng Chen","orcid":"https://orcid.org/0000-0003-1879-9415"},"institutions":[{"id":"https://openalex.org/I4391767673","display_name":"State Key Laboratory of ASIC and System","ror":"https://ror.org/01mamgv83","country_code":null,"type":"facility","lineage":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengsheng Chen","raw_affiliation_strings":["Fudan University,State Key Laboratory of ASIC and System,Shanghai,China,200433"],"affiliations":[{"raw_affiliation_string":"Fudan University,State Key Laboratory of ASIC and System,Shanghai,China,200433","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100389056"],"corresponding_institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"],"apc_list":null,"apc_paid":null,"fwci":0.2397,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57493227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9991000294685364,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8227512836456299},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.8157585263252258},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.6429622173309326},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5858471393585205},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5507085919380188},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.49411776661872864},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.488395631313324},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4746181070804596},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43380647897720337},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.394688218832016},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.36748263239860535},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3243933916091919},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29538673162460327},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2332172393798828},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.23230215907096863},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.12822672724723816}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8227512836456299},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.8157585263252258},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.6429622173309326},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5858471393585205},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5507085919380188},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.49411776661872864},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.488395631313324},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4746181070804596},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43380647897720337},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.394688218832016},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.36748263239860535},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3243933916091919},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29538673162460327},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2332172393798828},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.23230215907096863},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.12822672724723816},{"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:10.1109/mwscas54063.2022.9859315","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas54063.2022.9859315","pdf_url":null,"source":{"id":"https://openalex.org/S4363606568","display_name":"2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS)","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":"2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5899999737739563,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2304648132","https://openalex.org/W2333796428","https://openalex.org/W2887936511","https://openalex.org/W2951898149","https://openalex.org/W2962730651","https://openalex.org/W2963122961","https://openalex.org/W2963163009","https://openalex.org/W2963402313","https://openalex.org/W2964304707","https://openalex.org/W3008408165","https://openalex.org/W3008730548","https://openalex.org/W4297775537","https://openalex.org/W6639102338","https://openalex.org/W6697974390","https://openalex.org/W6703049675","https://openalex.org/W6737664043"],"related_works":["https://openalex.org/W2973622361","https://openalex.org/W3135013065","https://openalex.org/W2093215079","https://openalex.org/W4309048580","https://openalex.org/W2133852542","https://openalex.org/W4226549668","https://openalex.org/W4312069028","https://openalex.org/W4292862556","https://openalex.org/W3216584433","https://openalex.org/W3151873305"],"abstract_inverted_index":{"CNN-based":[0],"pose":[1,42,65],"estimation":[2],"can":[3],"be":[4],"widely":[5],"used":[6],"in":[7,27,93,124,178,182,190],"various":[8],"edge":[9],"computing":[10,28,131],"applications.":[11],"However,":[12],"its":[13,71,166],"complex":[14],"computations":[15],"severely":[16],"bring":[17],"about":[18],"a":[19,24,49,103,142,148],"high":[20,25],"processing":[21,62,192],"latency":[22],"and":[23,60,76,97,133,154,165,180,194],"demand":[26],"resources.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33,136],"present":[34],"an":[35,58,88,108,112,120,172],"FPGA-based":[36],"heterogeneous":[37],"SoC":[38],"design":[39],"for":[40,57,73,82,151],"real-time":[41],"estimation.":[43,66],"First,":[44],"on":[45,117,141],"top":[46],"of":[47,63,175],"SimpleBaseline,":[48],"new":[50,162],"CNN":[51],"model":[52,140,164],"\u2013":[53],"LightPose":[54,84,118,139,163],"is":[55,115],"proposed":[56],"efficient":[59],"lightweight":[61],"human\u2019s":[64],"By":[67],"using":[68,77,102],"MobileNetV2":[69],"as":[70],"backbone":[72],"feature":[74],"extraction":[75],"depth-wise":[78],"separable":[79],"transpose":[80],"convolutions":[81],"up-sampling,":[83],"has":[85],"successfully":[86,170],"obtained":[87],"over":[89],"$50":[90],"\\times$":[91],"reduction":[92],"both":[94,191],"computation":[95],"complexity":[96],"network":[98],"size.":[99],"Second,":[100],"by":[101],"quantization-aware":[104],"training":[105],"method":[106],"with":[107,119,128,147],"additional":[109],"shortcut":[110],"optimization,":[111],"8-bit":[113],"quantization":[114],"conducted":[116],"only":[121],"0.5%":[122],"drop":[123],"average":[125,183],"precision.":[126],"Finally,":[127],"specially":[129],"designed":[130],"engines":[132],"pipelined":[134],"modules,":[135],"build":[137],"the":[138,186],"Xilinx":[143],"xc7k325t":[144],"FPGA":[145],"together":[146],"RISC-V":[149],"CPU":[150],"system":[152],"management":[153],"external":[155],"communications.":[156],"Experimental":[157],"results":[158],"show":[159],"that":[160],"our":[161],"hardware-accelerated":[167],"solution":[168],"have":[169],"reached":[171],"outstanding":[173],"performance":[174],"411.6":[176],"FPS":[177],"speed":[179],"0.546":[181],"precision,":[184],"surpassing":[185],"existing":[187],"peer":[188],"works":[189],"rate":[193],"power":[195],"efficiency.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
