{"id":"https://openalex.org/W2536305597","doi":"https://doi.org/10.1145/2984511.2984565","title":"Interacting with Soli","display_name":"Interacting with Soli","publication_year":2016,"publication_date":"2016-10-16","ids":{"openalex":"https://openalex.org/W2536305597","doi":"https://doi.org/10.1145/2984511.2984565","mag":"2536305597"},"language":"en","primary_location":{"id":"doi:10.1145/2984511.2984565","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2984511.2984565","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2984511.2984565","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th Annual Symposium on User Interface Software and Technology","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/2984511.2984565","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040702392","display_name":"Saiwen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Saiwen Wang","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047371218","display_name":"Jie Song","orcid":"https://orcid.org/0000-0003-3671-6521"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jie Song","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102886831","display_name":"Jaime Lien","orcid":"https://orcid.org/0009-0008-9083-4872"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaime Lien","raw_affiliation_strings":["Google, Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004961545","display_name":"Ivan Poupyrev","orcid":"https://orcid.org/0009-0008-7389-4726"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ivan Poupyrev","raw_affiliation_strings":["Google, Inc., Mountain View, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025000908","display_name":"Otmar Hilliges","orcid":"https://orcid.org/0000-0002-5068-3474"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Otmar Hilliges","raw_affiliation_strings":["ETH Zurich, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"ETH Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040702392"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":24.29,"has_fulltext":true,"cited_by_count":424,"citation_normalized_percentile":{"value":0.99747338,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"851","last_page":"860"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","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/T12740","display_name":"Gait Recognition and Analysis","score":0.9948999881744385,"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/computer-science","display_name":"Computer science","score":0.77754807472229},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6579678058624268},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5902091264724731},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5817691087722778},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5693670511245728},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5689011812210083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5683196783065796},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4638047218322754},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4527854323387146},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.44828829169273376},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42377540469169617},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42037418484687805},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41144153475761414},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3493649363517761},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11691612005233765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77754807472229},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6579678058624268},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5902091264724731},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5817691087722778},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5693670511245728},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5689011812210083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5683196783065796},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4638047218322754},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4527854323387146},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.44828829169273376},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42377540469169617},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42037418484687805},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41144153475761414},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3493649363517761},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11691612005233765},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2984511.2984565","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2984511.2984565","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2984511.2984565","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th Annual Symposium on User Interface Software and Technology","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2984511.2984565","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2984511.2984565","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2984511.2984565","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th Annual Symposium on User Interface Software and Technology","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2536305597.pdf","grobid_xml":"https://content.openalex.org/works/W2536305597.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W790225446","https://openalex.org/W950853366","https://openalex.org/W1500711968","https://openalex.org/W1950788856","https://openalex.org/W1971726464","https://openalex.org/W2001456765","https://openalex.org/W2002381827","https://openalex.org/W2016549506","https://openalex.org/W2021291149","https://openalex.org/W2023633446","https://openalex.org/W2052879222","https://openalex.org/W2075548592","https://openalex.org/W2081398635","https://openalex.org/W2081933842","https://openalex.org/W2088182082","https://openalex.org/W2099800354","https://openalex.org/W2100147865","https://openalex.org/W2115466366","https://openalex.org/W2120701504","https://openalex.org/W2121380677","https://openalex.org/W2122276506","https://openalex.org/W2124781093","https://openalex.org/W2129102498","https://openalex.org/W2130506643","https://openalex.org/W2133258886","https://openalex.org/W2137940226","https://openalex.org/W2141336889","https://openalex.org/W2141964067","https://openalex.org/W2143612262","https://openalex.org/W2150355110","https://openalex.org/W2153200718","https://openalex.org/W2156303437","https://openalex.org/W2160815625","https://openalex.org/W2169500698","https://openalex.org/W2169709590","https://openalex.org/W2194775991","https://openalex.org/W2270470215","https://openalex.org/W2469690627","https://openalex.org/W2537024443","https://openalex.org/W2559655401"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312416068","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W3193565141","https://openalex.org/W2026258298","https://openalex.org/W3133861977"],"abstract_inverted_index":{"This":[0,56],"paper":[1],"proposes":[2],"a":[3,39,82,123],"novel":[4],"machine":[5],"learning":[6],"architecture,":[7],"specifically":[8],"designed":[9],"for":[10,45,68],"radio-frequency":[11],"based":[12,22,101],"gesture":[13],"recognition.":[14],"We":[15],"focus":[16],"on":[17,102,122,140],"high-frequency":[18],"(60]GHz),":[19],"short-range":[20],"radar":[21],"sensing,":[23],"in":[24,47,95],"particular":[25],"Google's":[26],"Soli":[27],"sensor.":[28],"The":[29,75,114,136],"signal":[30],"has":[31],"unique":[32],"properties":[33],"such":[34],"as":[35],"resolving":[36],"motion":[37],"at":[38,143],"very":[40],"fine":[41,96],"level":[42],"and":[43,49,88,110,130],"allowing":[44],"segmentation":[46],"range":[48],"velocity":[50],"spaces":[51],"rather":[52],"than":[53],"image":[54],"space.":[55],"enables":[57],"recognition":[58,73,118],"of":[59,62,71,80,85,93,107,126],"new":[60],"types":[61],"inputs":[63],"but":[64],"poses":[65],"significant":[66],"difficulties":[67],"the":[69],"design":[70],"input":[72],"algorithms.":[74],"proposed":[76,137],"algorithm":[77,115],"is":[78,100],"capable":[79],"detecting":[81],"rich":[83],"set":[84,125],"dynamic":[86,128],"gestures":[87,129],"can":[89],"resolve":[90],"small":[91],"motions":[92],"fingers":[94],"detail.":[97],"Our":[98],"technique":[99],"an":[103],"end-to-end":[104],"trained":[105],"combination":[106],"deep":[108],"convolutional":[109],"recurrent":[111],"neural":[112],"networks.":[113],"achieves":[116],"high":[117],"rates":[119],"(avg":[120],"87%)":[121],"challenging":[124],"11":[127],"generalizes":[131],"well":[132],"across":[133],"10":[134],"users.":[135],"model":[138],"runs":[139],"commodity":[141],"hardware":[142],"140":[144],"Hz":[145],"(CPU":[146],"only).":[147]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":40},{"year":2024,"cited_by_count":44},{"year":2023,"cited_by_count":51},{"year":2022,"cited_by_count":65},{"year":2021,"cited_by_count":74},{"year":2020,"cited_by_count":56},{"year":2019,"cited_by_count":54},{"year":2018,"cited_by_count":21},{"year":2017,"cited_by_count":14},{"year":2016,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}