{"id":"https://openalex.org/W4362682555","doi":"https://doi.org/10.1145/3572921.3572925","title":"ThumbPitch: Enriching Thumb Interaction on Mobile Touchscreens using Deep Learning","display_name":"ThumbPitch: Enriching Thumb Interaction on Mobile Touchscreens using Deep Learning","publication_year":2022,"publication_date":"2022-11-29","ids":{"openalex":"https://openalex.org/W4362682555","doi":"https://doi.org/10.1145/3572921.3572925"},"language":"en","primary_location":{"id":"doi:10.1145/3572921.3572925","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3572921.3572925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th Australian Conference on Human-Computer Interaction","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/A5038100737","display_name":"Jamie Ullerich","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Jamie Ullerich","raw_affiliation_strings":["University of Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024241213","display_name":"Maximiliane Windl","orcid":"https://orcid.org/0000-0002-9743-3819"},"institutions":[{"id":"https://openalex.org/I4403386549","display_name":"Munich Center for Machine Learning","ror":"https://ror.org/02nfy3535","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386549","https://openalex.org/I62916508","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximiliane Windl","raw_affiliation_strings":["LMU Munich, Germany and Munich Center for Machine Learning, Germany"],"affiliations":[{"raw_affiliation_string":"LMU Munich, Germany and Munich Center for Machine Learning, Germany","institution_ids":["https://openalex.org/I8204097","https://openalex.org/I4403386549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073661463","display_name":"Andreas Bulling","orcid":"https://orcid.org/0000-0001-6317-7303"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Bulling","raw_affiliation_strings":["University of Stuttgart, Germany"],"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040353906","display_name":"Sven Mayer","orcid":"https://orcid.org/0000-0001-5462-8782"},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sven Mayer","raw_affiliation_strings":["LMU Munich, Germany"],"affiliations":[{"raw_affiliation_string":"LMU Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038100737"],"corresponding_institution_ids":["https://openalex.org/I100066346"],"apc_list":null,"apc_paid":null,"fwci":0.5888,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.65030988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"58","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10789","display_name":"Interactive and Immersive Displays","score":0.9976999759674072,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9969000220298767,"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":0.8659104108810425},{"id":"https://openalex.org/keywords/thumb","display_name":"Thumb","score":0.7715708017349243},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6223113536834717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5344741940498352},{"id":"https://openalex.org/keywords/rule-of-thumb","display_name":"Rule of thumb","score":0.5325609445571899},{"id":"https://openalex.org/keywords/index-finger","display_name":"Index finger","score":0.4672413170337677},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.4626992344856262},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4607348144054413},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43630629777908325},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.43400630354881287},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.41851866245269775},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3860412538051605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.358600914478302},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07001322507858276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8659104108810425},{"id":"https://openalex.org/C2776881184","wikidata":"https://www.wikidata.org/wiki/Q83360","display_name":"Thumb","level":2,"score":0.7715708017349243},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6223113536834717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5344741940498352},{"id":"https://openalex.org/C89246107","wikidata":"https://www.wikidata.org/wiki/Q1398821","display_name":"Rule of thumb","level":2,"score":0.5325609445571899},{"id":"https://openalex.org/C2777087348","wikidata":"https://www.wikidata.org/wiki/Q184848","display_name":"Index finger","level":2,"score":0.4672413170337677},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.4626992344856262},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4607348144054413},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43630629777908325},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.43400630354881287},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.41851866245269775},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3860412538051605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.358600914478302},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07001322507858276},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3572921.3572925","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3572921.3572925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th Australian Conference on Human-Computer Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1982673860","https://openalex.org/W1985054688","https://openalex.org/W2000197886","https://openalex.org/W2004717738","https://openalex.org/W2017587036","https://openalex.org/W2046794787","https://openalex.org/W2048207755","https://openalex.org/W2053996817","https://openalex.org/W2066264643","https://openalex.org/W2078376487","https://openalex.org/W2114296568","https://openalex.org/W2130033216","https://openalex.org/W2149344674","https://openalex.org/W2163472226","https://openalex.org/W2175595662","https://openalex.org/W2176615452","https://openalex.org/W2295007882","https://openalex.org/W2395870289","https://openalex.org/W2611872300","https://openalex.org/W2751394841","https://openalex.org/W2752360436","https://openalex.org/W2754091141","https://openalex.org/W2763866851","https://openalex.org/W2796279850","https://openalex.org/W2888489631","https://openalex.org/W2896800351","https://openalex.org/W2908451464","https://openalex.org/W2915714246","https://openalex.org/W2941735245","https://openalex.org/W2943174836","https://openalex.org/W2972334400","https://openalex.org/W2977934105","https://openalex.org/W2978050065","https://openalex.org/W3035661013","https://openalex.org/W3160168285","https://openalex.org/W3163822214","https://openalex.org/W4224986399","https://openalex.org/W4245990317"],"related_works":["https://openalex.org/W1997151198","https://openalex.org/W2076240093","https://openalex.org/W2983761940","https://openalex.org/W1983433086","https://openalex.org/W2743543359","https://openalex.org/W172565103","https://openalex.org/W2923262399","https://openalex.org/W2355226004","https://openalex.org/W2349885885","https://openalex.org/W4280633623"],"abstract_inverted_index":{"Today":[0],"touchscreens":[1,16],"are":[2,17],"one":[3],"of":[4,25,34,102,137],"the":[5,31,58,80,100,111],"most":[6],"common":[7],"input":[8,32,64],"devices":[9],"for":[10,115],"everyday":[11],"ubiquitous":[12],"interaction.":[13],"Yet,":[14],"capacitive":[15],"limited":[18],"in":[19,123],"expressiveness;":[20],"thus,":[21],"a":[22,48,94,124,134],"large":[23],"body":[24],"work":[26],"has":[27],"focused":[28],"on":[29,85],"extending":[30],"capabilities":[33],"touchscreens.":[35],"One":[36],"promising":[37],"approach":[38],"is":[39,83],"to":[40,66],"use":[41,107,121],"index":[42],"finger":[43],"orientation;":[44],"however,":[45],"this":[46],"requires":[47],"two-handed":[49],"interaction":[50,72],"and":[51,127],"poses":[52],"ergonomic":[53],"constraints.":[54],"We":[55,98,118],"propose":[56],"using":[57,93],"thumb\u2019s":[59,81],"pitch":[60,82],"as":[61],"an":[62],"additional":[63],"dimension":[65],"counteract":[67],"these":[68],"limitations,":[69],"enabling":[70],"one-handed":[71,116],"scenarios.":[73,117],"Our":[74,131],"deep":[75],"convolutional":[76],"neural":[77],"network":[78],"detecting":[79],"trained":[84],"more":[86],"than":[87],"230,000":[88],"ground":[89],"truth":[90],"images":[91],"recorded":[92],"motion":[95],"tracking":[96],"system.":[97],"highlight":[99],"potential":[101],"ThumbPitch":[103],"by":[104],"proposing":[105],"several":[106],"cases":[108,122],"that":[109],"exploit":[110],"higher":[112],"expressiveness,":[113],"especially":[114],"tested":[119],"three":[120],"validation":[125],"study":[126],"validated":[128],"our":[129],"model.":[130],"model":[132],"achieved":[133],"mean":[135],"error":[136],"only":[138],"11.9\u00b0.":[139]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}