{"id":"https://openalex.org/W3196138917","doi":"https://doi.org/10.1145/3448891.3448925","title":"Finger Air Writing - Movement Reconstruction with Low-cost IMU Sensor","display_name":"Finger Air Writing - Movement Reconstruction with Low-cost IMU Sensor","publication_year":2020,"publication_date":"2020-12-07","ids":{"openalex":"https://openalex.org/W3196138917","doi":"https://doi.org/10.1145/3448891.3448925","mag":"3196138917"},"language":"en","primary_location":{"id":"doi:10.1145/3448891.3448925","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448891.3448925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MobiQuitous 2020 - 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074164846","display_name":"Junaid Younas","orcid":"https://orcid.org/0000-0002-4697-0737"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Junaid Younas","raw_affiliation_strings":["Kaiserslautern and 196"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kaiserslautern and 196","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088984369","display_name":"Hector Margarito","orcid":null},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hector Margarito","raw_affiliation_strings":["Kaiserslautern and 196"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kaiserslautern and 196","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066958860","display_name":"Sizhen Bian","orcid":"https://orcid.org/0000-0001-6760-5539"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sizhen Bian","raw_affiliation_strings":["Kaiserslautern and 196"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kaiserslautern and 196","institution_ids":["https://openalex.org/I153267046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063453660","display_name":"Paul Lukowicz","orcid":"https://orcid.org/0000-0003-0320-6656"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Paul Lukowicz","raw_affiliation_strings":["Kaiserslautern and 196"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kaiserslautern and 196","institution_ids":["https://openalex.org/I153267046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153267046"],"apc_list":null,"apc_paid":null,"fwci":0.6796,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.65540541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"69","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9997000098228455,"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":0.9997000098228455,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.9761999845504761,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.8142650723457336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5949909687042236},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.5755025148391724},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47292736172676086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44328737258911133},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.18063169717788696}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.8142650723457336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5949909687042236},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.5755025148391724},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47292736172676086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44328737258911133},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.18063169717788696},{"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:10.1145/3448891.3448925","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3448891.3448925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MobiQuitous 2020 - 17th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W564530069","https://openalex.org/W1454456759","https://openalex.org/W1986707552","https://openalex.org/W2014923021","https://openalex.org/W2047109728","https://openalex.org/W2066991356","https://openalex.org/W2109297795","https://openalex.org/W2122750542","https://openalex.org/W2129332051","https://openalex.org/W2527078720","https://openalex.org/W2596874765","https://openalex.org/W2789644267","https://openalex.org/W2796208452","https://openalex.org/W2887191090","https://openalex.org/W2999709773","https://openalex.org/W4230591752","https://openalex.org/W4248178147","https://openalex.org/W4251363191"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2898126303","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,57,106,164],"present":[4],"and":[5,67,95,150,157],"evaluate":[6],"a":[7,17,23,41,59,121,135,138,158,167],"method":[8],"for":[9,55,84],"trajectory":[10,154],"reconstruction":[11],"from":[12,112],"IMU":[13,26],"signals":[14],"generated":[15],"when":[16,74,89],"person":[18,60,80],"\u201dair":[19,114],"writes\u201d":[20],"text":[21,31],"with":[22],"finger":[24],"worn":[25],"to":[27,39,47,52,110,124,144],"make":[28],"the":[29,93,98,148,153],"resulting":[30],"as":[32,34],"human-readable":[33],"possible.":[35],"The":[36,78,103],"vision":[37],"is":[38,108,141],"provide":[40],"virtual":[42],"\u201dsticky":[43],"note\u201d":[44],"allowing":[45],"people":[46],"digitally":[48],"attach":[49],"simple":[50],"texts":[51],"locations.":[53],"Thus,":[54],"example,":[56,85],"envision":[58],"walking":[61],"by":[62],"someone\u2019s":[63],"locked":[64],"office":[65,94],"door":[66],"simply":[68],"air":[69],"writing,":[70],"\u201dlet":[71],"me":[72],"know":[73],"you":[75],"are":[76],"back\u201d.":[77],"other":[79],"would":[81,96],"then":[82],"have,":[83],"their":[86,101],"phone":[87],"vibrate":[88],"they":[90],"come":[91],"into":[92],"see":[97],"message":[99],"on":[100,134],"screen.":[102],"problem":[104],"that":[105,129,140,161,163],"address":[107],"how":[109],"extract":[111],"such":[113],"writing\u201d,":[115],"performed":[116],"without":[117],"visual":[118],"feedback":[119],"or":[120],"real":[122],"surface":[123],"write,":[125],"de-noised":[126],"2D":[127],"trajectories":[128],"can":[130,165],"be":[131],"later":[132],"displayed":[133],"screen":[136],"in":[137],"way":[139],"well":[142],"readable":[143],"humans.":[145],"We":[146],"describe":[147],"sensor":[149],"its":[151],"signals,":[152],"extraction":[155],"algorithm,":[156],"user":[159],"study":[160],"shows":[162],"achieve":[166],"high":[168],"degree":[169],"of":[170],"readability.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
