{"id":"https://openalex.org/W4404483430","doi":"https://doi.org/10.1109/jsas.2024.3501213","title":"Smart Pressure e-Mat for Human Sleeping Posture and Dynamic Activity Recognition","display_name":"Smart Pressure e-Mat for Human Sleeping Posture and Dynamic Activity Recognition","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4404483430","doi":"https://doi.org/10.1109/jsas.2024.3501213"},"language":"en","primary_location":{"id":"doi:10.1109/jsas.2024.3501213","doi":"https://doi.org/10.1109/jsas.2024.3501213","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jsas.2024.3501213","pdf_url":null,"source":{"id":"https://openalex.org/S5407036230","display_name":"IEEE Journal of Selected Areas in Sensors","issn_l":"2836-2071","issn":["2836-2071"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Areas in Sensors","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/jsas.2024.3501213","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022883297","display_name":"Liangqi Yuan","orcid":"https://orcid.org/0000-0002-9994-6773","observed_orcids":["https://orcid.org/0000-0002-9994-6773"]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liangqi Yuan","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0002-9994-6773","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuan Wei","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan Wei","raw_affiliation_strings":["School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100783533","display_name":"Jia Li","orcid":"https://orcid.org/0000-0003-3443-4651","observed_orcids":["https://orcid.org/0000-0003-3443-4651"]},"institutions":[{"id":"https://openalex.org/I177721651","display_name":"Oakland University","ror":"https://ror.org/01ythxj32","country_code":"US","type":"education","lineage":["https://openalex.org/I177721651"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, USA"],"raw_orcid":"https://orcid.org/0000-0003-3443-4651","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Oakland University, Rochester, MI, USA","institution_ids":["https://openalex.org/I177721651"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1995,"currency":"USD","value_usd":1995},"apc_paid":{"value":1995,"currency":"USD","value_usd":1995},"fwci":1.5993,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.83438972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9955999851226807,"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":0.9955999851226807,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.0026000000070780516,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.0010999999940395355,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/velostat","display_name":"Velostat","score":0.9909999966621399},{"id":"https://openalex.org/keywords/human-activity-recognition","display_name":"human activity recognition","score":0.7940000295639038},{"id":"https://openalex.org/keywords/sports-activity-recognition","display_name":"sports activity recognition","score":0.8069999814033508},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.7419999837875366}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5447309017181396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.428399920463562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41736817359924316},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.369587242603302},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35399502515792847}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/jsas.2024.3501213","doi":"https://doi.org/10.1109/jsas.2024.3501213","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jsas.2024.3501213","pdf_url":null,"source":{"id":"https://openalex.org/S5407036230","display_name":"IEEE Journal of Selected Areas in Sensors","issn_l":"2836-2071","issn":["2836-2071"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Areas in Sensors","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2305.11367","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.11367","pdf_url":"https://arxiv.org/pdf/2305.11367","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2305.11367","doi":"https://doi.org/10.48550/arxiv.2305.11367","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2305.11367","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1109/jsas.2024.3501213","doi":"https://doi.org/10.1109/jsas.2024.3501213","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jsas.2024.3501213","pdf_url":null,"source":{"id":"https://openalex.org/S5407036230","display_name":"IEEE Journal of Selected Areas in Sensors","issn_l":"2836-2071","issn":["2836-2071"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Selected Areas in Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.428600013256073,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G4967364014","display_name":null,"funder_award_id":"FA9550-21-1-0224","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404483430.pdf","grobid_xml":"https://content.openalex.org/works/W4404483430.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1923404803","https://openalex.org/W1982828750","https://openalex.org/W2054854590","https://openalex.org/W2138844736","https://openalex.org/W2166585744","https://openalex.org/W2194187530","https://openalex.org/W2194775991","https://openalex.org/W2195342085","https://openalex.org/W2611466494","https://openalex.org/W2744437427","https://openalex.org/W2790586936","https://openalex.org/W2794284562","https://openalex.org/W2795342689","https://openalex.org/W2809543212","https://openalex.org/W2914492151","https://openalex.org/W2941733427","https://openalex.org/W2946349414","https://openalex.org/W2947434510","https://openalex.org/W2963278610","https://openalex.org/W2977754667","https://openalex.org/W3035967575","https://openalex.org/W3042554286","https://openalex.org/W3109306450","https://openalex.org/W3111083352","https://openalex.org/W3117012970","https://openalex.org/W3120826049","https://openalex.org/W3121706411","https://openalex.org/W3122806958","https://openalex.org/W3130100348","https://openalex.org/W3138965819","https://openalex.org/W3159048206","https://openalex.org/W3164104137","https://openalex.org/W3165521110","https://openalex.org/W3180582204","https://openalex.org/W3216785339","https://openalex.org/W4200371906","https://openalex.org/W4200542697","https://openalex.org/W4205862596","https://openalex.org/W4206367101","https://openalex.org/W4223933286","https://openalex.org/W4282043382","https://openalex.org/W4283747624","https://openalex.org/W4285192266","https://openalex.org/W4289731865","https://openalex.org/W4294891471","https://openalex.org/W4295422740","https://openalex.org/W4377710503","https://openalex.org/W4385815544","https://openalex.org/W4386363166","https://openalex.org/W4391953412","https://openalex.org/W4392868461","https://openalex.org/W4402157714","https://openalex.org/W7135200092"],"related_works":["https://openalex.org/W4387121760","https://openalex.org/W3136847569","https://openalex.org/W3122907878","https://openalex.org/W3130100348","https://openalex.org/W3174026175","https://openalex.org/W2606699032","https://openalex.org/W2279159495","https://openalex.org/W3106645672","https://openalex.org/W4299557311","https://openalex.org/W3111083352"],"abstract_inverted_index":{"With":[0],"the":[1,68,73,90,96,121,135,141],"emphasis":[2],"on":[3,48],"healthcare,":[4],"early":[5],"childhood":[6],"education,":[7],"and":[8,12,36,62,71,88,94,103,138,154,161],"fitness,":[9],"noninvasive":[10],"measurement":[11],"recognition":[13,57],"methods":[14],"have":[15],"received":[16],"more":[17,151],"attention.":[18],"Pressure":[19,43],"sensing":[20],"has":[21],"been":[22],"extensively":[23],"studied":[24],"because":[25],"of":[26,29,58,120,140],"its":[27],"advantages":[28],"simple":[30],"structure,":[31],"easy":[32],"access,":[33],"visualization":[34],"application,":[35],"harmlessness.":[37],"This":[38],"article":[39],"introduces":[40],"a":[41,65,77,117],"Smart":[42],"e-Mat":[44],"(SPeM)":[45],"system":[46,127],"based":[47],"piezoresistive":[49],"material,":[50],"Velostat,":[51],"for":[52],"human":[53,98],"monitoring":[54],"applications,":[55,133],"including":[56],"sleeping":[59,101],"postures,":[60],"sports,":[61],"yoga.":[63],"After":[64],"subsystem":[66],"scans":[67],"e-mat":[69],"readings":[70],"processes":[72],"signal,":[74],"it":[75],"generates":[76],"pressure":[78,91,146],"image":[79,92],"stream.":[80],"Deep":[81],"neural":[82],"networks":[83],"are":[84,114],"used":[85,115],"to":[86],"fit":[87],"train":[89],"stream":[93],"recognize":[95],"corresponding":[97],"behavior.":[99],"Four":[100],"postures":[102],"13":[104],"dynamic":[105],"activities":[106],"inspired":[107],"by":[108],"Nintendo":[109],"Switch":[110],"Ring":[111],"Fit":[112],"Adventure":[113],"as":[116],"preliminary":[118],"validation":[119],"proposed":[122],"SPeM":[123,126,149],"system.":[124],"The":[125],"achieves":[128],"high":[129,136],"accuracies":[130],"in":[131],"both":[132],"demonstrating":[134],"accuracy":[137],"generalizability":[139],"models.":[142],"Compared":[143],"with":[144,158],"other":[145],"sensor-based":[147],"systems,":[148],"possesses":[150],"flexible":[152],"applications":[153],"commercial":[155],"application":[156],"prospects,":[157],"reliable,":[159],"robust,":[160],"repeatable":[162],"properties.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-11-19T00:00:00"}
