{"id":"https://openalex.org/W2997988154","doi":"https://doi.org/10.1109/ithet46829.2019.8937380","title":"A Method to Estimate Interest of Learner Based on Leg Condition","display_name":"A Method to Estimate Interest of Learner Based on Leg Condition","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2997988154","doi":"https://doi.org/10.1109/ithet46829.2019.8937380","mag":"2997988154"},"language":"en","primary_location":{"id":"doi:10.1109/ithet46829.2019.8937380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ithet46829.2019.8937380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 18th International Conference on Information Technology Based Higher Education and Training (ITHET)","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/A5045334374","display_name":"Daigo Aikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Daigo Aikawa","raw_affiliation_strings":["The University of Electro-Communications, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085958217","display_name":"Yasutaka Asai","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasutaka Asai","raw_affiliation_strings":["The University of Electro-Communications, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014734613","display_name":"Hironori Egi","orcid":"https://orcid.org/0000-0001-6426-6412"},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hironori Egi","raw_affiliation_strings":["The University of Electro-Communications, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Electro-Communications, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045334374"],"corresponding_institution_ids":["https://openalex.org/I20529979"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.2194796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.972599983215332,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13219","display_name":"Mind wandering and attention","score":0.9660000205039978,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9581000208854675,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.9141751527786255},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6823089718818665},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6610746383666992},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5407206416130066},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.521997332572937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4454202353954315},{"id":"https://openalex.org/keywords/region-of-interest","display_name":"Region of interest","score":0.41169559955596924},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.374180406332016},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35790783166885376},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21791866421699524},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1022186279296875}],"concepts":[{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.9141751527786255},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6823089718818665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6610746383666992},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5407206416130066},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.521997332572937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4454202353954315},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.41169559955596924},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.374180406332016},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35790783166885376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21791866421699524},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1022186279296875},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ithet46829.2019.8937380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ithet46829.2019.8937380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 18th International Conference on Information Technology Based Higher Education and Training (ITHET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W574188577","https://openalex.org/W1644367566","https://openalex.org/W2171822968","https://openalex.org/W2765135009","https://openalex.org/W2970688764"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W2326995835","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W2019547100","https://openalex.org/W2477150073","https://openalex.org/W2918377940"],"abstract_inverted_index":{"In":[0],"this":[1,96,123],"paper,":[2],"we":[3,98,111],"propose":[4],"a":[5,9,29,56,59,100,126,134],"method":[6],"to":[7,70,83,102],"estimate":[8],"learner's":[10,33,89,114],"interest":[11,52,121],"from":[12,87],"the":[13,18,32,41,45,68,72,76,85,88,92,104,108,113,118,138,143],"condition":[14,106,116,145],"and":[15,117,146,151],"motion":[16],"of":[17,62,74,107,120,140,148],"legs.":[19],"To":[20,94],"properly":[21],"support":[22],"learning":[23,36],"activities,":[24],"it":[25,64,128],"is":[26,65,81],"important":[27],"that":[28,131],"teacher":[30],"grasps":[31],"situation.":[34],"Efficient":[35],"can":[37],"be":[38],"achieved":[39],"when":[40],"learner":[42],"progresses":[43],"toward":[44],"goal":[46],"based":[47],"on":[48],"his":[49],"or":[50],"her":[51],"level.":[53],"However,":[54],"in":[55,91,142],"class":[57],"with":[58],"large":[60],"number":[61,139],"learners,":[63],"difficult":[66],"for":[67],"teachers":[69],"grasp":[71,84],"situation":[73,86],"all":[75],"learners.":[77],"A":[78],"teacher's":[79],"proficiency":[80],"necessary":[82],"response":[90],"class.":[93],"solve":[95],"problem,":[97],"developed":[99],"device":[101],"measure":[103],"leg":[105,115,144],"learner.":[109],"Furthermore,":[110],"investigated":[112],"degree":[119],"using":[122],"device.":[124],"As":[125],"result,":[127],"was":[129,133],"revealed":[130],"there":[132],"significant":[135],"correlation":[136],"between":[137],"changes":[141],"levels":[147],"understanding,":[149],"difficulty,":[150],"concentration.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
