{"id":"https://openalex.org/W4307711976","doi":"https://doi.org/10.1142/s1793351x22490010","title":"Machine Learning Prediction of Locomotion Intention from Walking and Gaze Data","display_name":"Machine Learning Prediction of Locomotion Intention from Walking and Gaze Data","publication_year":2022,"publication_date":"2022-10-28","ids":{"openalex":"https://openalex.org/W4307711976","doi":"https://doi.org/10.1142/s1793351x22490010"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x22490010","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-7108","issn":["1793-7108","1793-351X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repositorium.uni-muenster.de/document/miami/5b986580-69b6-4285-9a04-627294fc4d26/10.1142_S1793351X22490010.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043996948","display_name":"Gianni Bremer","orcid":null},"institutions":[],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gianni Bremer","raw_affiliation_strings":["Institute of Psychology and Department of Psychology, University of Muenster, Muenster, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Psychology and Department of Psychology, University of Muenster, Muenster, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010736759","display_name":"Niklas Stein","orcid":"https://orcid.org/0000-0001-5854-5407"},"institutions":[],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Niklas Stein","raw_affiliation_strings":["Institute of Psychology and Department of Psychology, University of Muenster, Muenster, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Psychology and Department of Psychology, University of Muenster, Muenster, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072874283","display_name":"Markus Lappe","orcid":"https://orcid.org/0000-0001-8814-7098"},"institutions":[],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Lappe","raw_affiliation_strings":["Institute of Psychology and Department of Psychology, University of Muenster, Muenster, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Psychology and Department of Psychology, University of Muenster, Muenster, Germany","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.305,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.385497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":70,"max":76},"biblio":{"volume":"17","issue":"01","first_page":"119","last_page":"142"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9971,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9971,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9911,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9862,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.531045}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.8053187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7554711},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.731085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6371269},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5542872},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.53160167},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.531045},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4950208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45357075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41319847},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3294741},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11776954},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x22490010","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-7108","issn":["1793-7108","1793-351X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:hbz:6-86928479753","pdf_url":"https://repositorium.uni-muenster.de/document/miami/5b986580-69b6-4285-9a04-627294fc4d26/10.1142_S1793351X22490010.pdf","source":{"id":"https://openalex.org/S4306402051","display_name":"URN:NBN Resolver for Germany & Switzerland (German National Library)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2802635041","host_organization_name":"Technische Informationsbibliothek (TIB)","host_organization_lineage":["https://openalex.org/I2802635041"],"host_organization_lineage_names":["Technische Informationsbibliothek (TIB)"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://repositorium.uni-muenster.de/transfer/miami/5b986580-69b6-4285-9a04-627294fc4d26","pdf_url":"https://repositorium.uni-muenster.de/transfer/miami/5b986580-69b6-4285-9a04-627294fc4d26","source":{"id":"https://openalex.org/S4306402051","display_name":"URN:NBN Resolver for Germany & Switzerland (German National Library)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2802635041","host_organization_name":"Technische Informationsbibliothek (TIB)","host_organization_lineage":["https://openalex.org/I2802635041"],"host_organization_lineage_names":["Technische Informationsbibliothek (TIB)"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:hbz:6-86928479753","pdf_url":"https://repositorium.uni-muenster.de/document/miami/5b986580-69b6-4285-9a04-627294fc4d26/10.1142_S1793351X22490010.pdf","source":{"id":"https://openalex.org/S4306402051","display_name":"URN:NBN Resolver for Germany & Switzerland (German National Library)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2802635041","host_organization_name":"Technische Informationsbibliothek (TIB)","host_organization_lineage":["https://openalex.org/I2802635041"],"host_organization_lineage_names":["Technische Informationsbibliothek (TIB)"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft","award_id":"DFG La 952-4-3"},{"funder":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft","award_id":"La 952-7"}],"datasets":[],"versions":[],"referenced_works_count":43,"referenced_works":["https://openalex.org/W1483019628","https://openalex.org/W1631913055","https://openalex.org/W1965234592","https://openalex.org/W1971312612","https://openalex.org/W1976147431","https://openalex.org/W1982369156","https://openalex.org/W2004641798","https://openalex.org/W2013481073","https://openalex.org/W2015447543","https://openalex.org/W2022147903","https://openalex.org/W2026125383","https://openalex.org/W2034892745","https://openalex.org/W2053799755","https://openalex.org/W2064675550","https://openalex.org/W2074693532","https://openalex.org/W2081509522","https://openalex.org/W2085900668","https://openalex.org/W2105934661","https://openalex.org/W2107961855","https://openalex.org/W2110065044","https://openalex.org/W2110738137","https://openalex.org/W2118230769","https://openalex.org/W2120199131","https://openalex.org/W2146502244","https://openalex.org/W2147101614","https://openalex.org/W2147299944","https://openalex.org/W2155009730","https://openalex.org/W2155301351","https://openalex.org/W2168745915","https://openalex.org/W2288928306","https://openalex.org/W2343950269","https://openalex.org/W2494972301","https://openalex.org/W2782572802","https://openalex.org/W2798036083","https://openalex.org/W2803485280","https://openalex.org/W2889272103","https://openalex.org/W2967688122","https://openalex.org/W2970683415","https://openalex.org/W3003365085","https://openalex.org/W3101840568","https://openalex.org/W3106046302","https://openalex.org/W4224230439","https://openalex.org/W4240755777"],"related_works":["https://openalex.org/W3022629203","https://openalex.org/W2970295229","https://openalex.org/W2807438818","https://openalex.org/W2366008286","https://openalex.org/W2161294397","https://openalex.org/W2065854286","https://openalex.org/W2047559669","https://openalex.org/W2012644758","https://openalex.org/W1975173418","https://openalex.org/W1880689012"],"abstract_inverted_index":{"In":[0,248],"many":[1],"applications":[2],"of":[3,8,22,45,56,63,155,165,172,188,215,222,254],"human\u2013computer":[4],"interaction,":[5],"a":[6,28,30,61,68,107,118,127,134,185,245],"prediction":[7,62,195,227],"the":[9,23,53,57,104,152,156,193,201,209,216,226,234,255,264],"human\u2019s":[10],"next":[11],"intended":[12,54],"action":[13],"is":[14,67],"highly":[15,79],"valuable.":[16],"To":[17],"control":[18],"direction":[19,221],"and":[20,40,78,90,131,140,169,196,213,218,220,240,252,257],"orientation":[21,214,239,253],"body":[24,219,258],"when":[25],"walking":[26,31,182,274,283],"towards":[27],"goal,":[29],"person":[32],"relies":[33],"on":[34,158],"visual":[35],"input":[36],"obtained":[37],"by":[38],"eye":[39],"head":[41,217,256],"movements.":[42],"The":[43,136,176],"analysis":[44],"these":[46,74],"parameters":[47,75],"might":[48],"allow":[49],"us":[50],"to":[51,86,145,150,225],"infer":[52],"goal":[55],"walker.":[58],"However,":[59],"such":[60],"human":[64],"locomotion":[65],"intentions":[66],"challenging":[69],"task,":[70],"since":[71],"interactions":[72],"between":[73],"are":[76],"nonlinear":[77],"dynamic.":[80],"We":[81,99,204],"employed":[82],"machine":[83],"learning":[84],"models":[85,105],"investigate":[87],"if":[88],"walk":[89],"gaze":[91,241,251],"data":[92,102,142],"can":[93],"be":[94],"used":[95,144],"for":[96,103,133,192,200],"locomotor":[97],"prediction.":[98,203],"collected":[100],"training":[101],"in":[106,111,126,268,270,278],"virtual":[108,119],"reality":[109],"experiment":[110],"which":[112,271,279],"18":[113],"participants":[114,272,280],"walked":[115],"freely":[116],"through":[117],"environment":[120],"while":[121,238],"performing":[122],"various":[123],"tasks":[124],"(walking":[125],"curve,":[128],"avoiding":[129],"obstacles":[130],"searching":[132],"target).":[135],"recorded":[137],"position,":[138],"orientation-":[139],"eye-tracking":[141],"was":[143,233],"train":[146],"an":[147],"LSTM":[148,178],"model":[149,179],"predict":[151],"future":[153],"position":[154,232],"walker":[157],"two":[159],"different":[160,210],"time":[161],"scales,":[162],"short-term":[163,194,230],"predictions":[164,171],"50[Formula:":[166],"see":[167,174,190,198],"text]ms":[168],"long-term":[170,202,249],"2.5[Formula:":[173],"text]s.":[175],"trained":[177],"predicted":[180],"free":[181],"paths":[183],"with":[184],"mean":[186],"error":[187],"5.14[Formula:":[189],"text]mm":[191],"65.73[Formula:":[197],"text]cm":[199],"then":[205],"investigated":[206],"how":[207],"much":[208],"features":[211],"(direction":[212],"gaze)":[223],"contributed":[224],"quality.":[228],"For":[229],"predictions,":[231,250],"most":[235],"important":[236],"feature":[237],"did":[242],"not":[243],"provide":[244],"substantial":[246],"benefit.":[247],"provided":[259],"significant":[260],"contributions.":[261],"Gaze":[262],"offered":[263],"greatest":[265],"predictive":[266],"utility":[267],"situations":[269],"were":[273],"short":[275],"distances":[276],"or":[277],"changed":[281],"their":[282],"speed.":[284]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4307711976","counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-01-08T04:14:46.836802","created_date":"2022-11-05"}