{"id":"https://openalex.org/W7117486475","doi":"https://doi.org/10.1145/3714394.3756271","title":"AISE: Adaptive Importance Sampling Events for Low Power Eye Tracking","display_name":"AISE: Adaptive Importance Sampling Events for Low Power Eye Tracking","publication_year":2025,"publication_date":"2025-10-12","ids":{"openalex":"https://openalex.org/W7117486475","doi":"https://doi.org/10.1145/3714394.3756271"},"language":null,"primary_location":{"id":"doi:10.1145/3714394.3756271","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3714394.3756271","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3714394.3756271","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121499289","display_name":"Yan Zhuo","orcid":null},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Yan Zhuo","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121482100","display_name":"Jianfeng Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089559","display_name":"Shenzhen Metro (China)","ror":"https://ror.org/008hpge95","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210089559"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Zheng","raw_affiliation_strings":["Shenzhen Smartcity Communication, Shenzhen, China, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Smartcity Communication, Shenzhen, China, Shenzhen, China","institution_ids":["https://openalex.org/I4210089559"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121454632","display_name":"Xiuzhe Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuzhe Kong","raw_affiliation_strings":["Beijing University of Aeronautics and Astronautics, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Aeronautics and Astronautics, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016095713","display_name":"Xinlei Chen","orcid":"https://orcid.org/0000-0001-8271-5023"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"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":"Xinlei Chen","raw_affiliation_strings":["Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5121499289"],"corresponding_institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58687272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1340","last_page":"1345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.4034999907016754,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.4034999907016754,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.1340000033378601,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.1315000057220459,"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/decodes","display_name":"Decodes","score":0.7070000171661377},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.6553999781608582},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5023999810218811},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.47780001163482666},{"id":"https://openalex.org/keywords/eye-movement","display_name":"Eye movement","score":0.4505999982357025},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4390999972820282},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4262000024318695},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.421099990606308},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.42010000348091125},{"id":"https://openalex.org/keywords/motion-detection","display_name":"Motion detection","score":0.33629998564720154}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7264000177383423},{"id":"https://openalex.org/C2778858076","wikidata":"https://www.wikidata.org/wiki/Q5249539","display_name":"Decodes","level":3,"score":0.7070000171661377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6906999945640564},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.6553999781608582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6471999883651733},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5023999810218811},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.47780001163482666},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.4505999982357025},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4390999972820282},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4262000024318695},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.421099990606308},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.42010000348091125},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3427000045776367},{"id":"https://openalex.org/C2780624872","wikidata":"https://www.wikidata.org/wiki/Q852453","display_name":"Motion detection","level":3,"score":0.33629998564720154},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.335099995136261},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3109999895095825},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.3041999936103821},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.30160000920295715},{"id":"https://openalex.org/C154586513","wikidata":"https://www.wikidata.org/wiki/Q4420972","display_name":"Tracking system","level":3,"score":0.2824000120162964},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C19743564","wikidata":"https://www.wikidata.org/wiki/Q25378119","display_name":"Flicker","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.27090001106262207},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C41407105","wikidata":"https://www.wikidata.org/wiki/Q5422741","display_name":"Eye tracking on the ISS","level":3,"score":0.2605000138282776},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25929999351501465},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3714394.3756271","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3714394.3756271","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3714394.3756271","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3714394.3756271","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2038445360","https://openalex.org/W3150422330","https://openalex.org/W4221160180","https://openalex.org/W4283021856","https://openalex.org/W4391020852","https://openalex.org/W4391305817","https://openalex.org/W4391528523","https://openalex.org/W4394564209","https://openalex.org/W4400874386","https://openalex.org/W4405014233","https://openalex.org/W4405110262"],"related_works":[],"abstract_inverted_index":{"Eye":[0],"tracking":[1,56],"technology":[2,110],"decodes":[3],"human":[4],"visual":[5],"cognition":[6],"by":[7],"analyzing":[8],"eye":[9,55,68],"movements":[10],"and":[11,19,33,84,114,123],"is":[12],"widely":[13],"used":[14],"in":[15],"psychology,":[16],"human-computer":[17],"interaction,":[18],"clinical":[20],"diagnosis.":[21],"Traditional":[22],"frame":[23],"based":[24,58,73,87],"cameras":[25],"suffer":[26],"from":[27],"high":[28],"redundant":[29],"data,":[30],"motion":[31],"blur,":[32],"limited":[34],"dynamic":[35],"range,":[36],"making":[37],"it":[38],"difficult":[39],"to":[40],"meet":[41],"the":[42,89],"low-power":[43,54],"real-time":[44],"processing":[45],"requirements":[46],"of":[47],"wearable":[48],"devices.":[49],"This":[50,109],"study":[51],"proposes":[52],"a":[53,112],"framework":[57],"on":[59,74,88],"event":[60,75],"cameras,":[61],"achieving":[62],"three":[63],"innovations:":[64],"1)":[65],"Design":[66,78],"an":[67,79],"module":[69],"mask":[70],"identification":[71],"algorithm":[72,83],"flow;":[76],"2)":[77],"events":[80],"importance":[81],"sampling":[82],"filtering":[85],"mechanism":[86],"local":[90],"SNN":[91,97],"hardware":[92],"platform;":[93],"3)":[94],"Implement":[95],"end-to-end":[96],"networks":[98],"with":[99],"theoretical":[100],"chip":[101],"performance":[102],"as":[103,105],"low":[104],"less":[106],"than":[107],"5mW.":[108],"provides":[111],"high-performance":[113],"highly":[115],"robust":[116],"next-generation":[117],"eye-tracking":[118],"solution":[119],"for":[120],"AR/VR":[121],"devices":[122],"neuroscience":[124],"research.":[125]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-29T00:00:00"}
