{"id":"https://openalex.org/W2772288826","doi":"https://doi.org/10.1109/iros.2017.8206617","title":"Dual-task performance assessment robot","display_name":"Dual-task performance assessment robot","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2772288826","doi":"https://doi.org/10.1109/iros.2017.8206617","mag":"2772288826"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2017.8206617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8206617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5037924561","display_name":"Ayanori Yorozu","orcid":"https://orcid.org/0000-0003-1334-9132"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ayanori Yorozu","raw_affiliation_strings":["Graduate School of Science and Technology, Keio University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Technology, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031252519","display_name":"Ayumi Tanigawa","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ayumi Tanigawa","raw_affiliation_strings":["School of Science for Open and Environmental Systems, Keio University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"School of Science for Open and Environmental Systems, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039641882","display_name":"Masaki Takahashi","orcid":"https://orcid.org/0000-0001-8138-041X"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaki Takahashi","raw_affiliation_strings":["Department of System Design Engineering, Keio University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Department of System Design Engineering, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037924561"],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":1.1872,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.84421759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"6929","last_page":"6934"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9998999834060669,"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/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7250664830207825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6947459578514099},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6444833874702454},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6147927045822144},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6104826927185059},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5463897585868835},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5236015915870667},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4369809925556183},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.37852123379707336},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32743117213249207},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14311057329177856},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07261326909065247}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7250664830207825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6947459578514099},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6444833874702454},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6147927045822144},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6104826927185059},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5463897585868835},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5236015915870667},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4369809925556183},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.37852123379707336},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32743117213249207},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14311057329177856},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07261326909065247},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2017.8206617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8206617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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":12,"referenced_works":["https://openalex.org/W1574515976","https://openalex.org/W1978262482","https://openalex.org/W2006314220","https://openalex.org/W2006711104","https://openalex.org/W2022815841","https://openalex.org/W2029478043","https://openalex.org/W2073870214","https://openalex.org/W2144921818","https://openalex.org/W2154393699","https://openalex.org/W2196592974","https://openalex.org/W2336416123","https://openalex.org/W2595315701"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W8302103","https://openalex.org/W2952466936","https://openalex.org/W1988622314","https://openalex.org/W2393949104","https://openalex.org/W3046201198","https://openalex.org/W4293061921","https://openalex.org/W3171631314","https://openalex.org/W3213722473","https://openalex.org/W2110944602"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"dual-task":[3,48,78,110],"performance":[4,79],"assessment":[5,23],"robot":[6,89],"(DAR)":[7],"using":[8,137],"projection":[9,86,136],"is":[10,13,42,61,104],"developed.":[11],"Falling":[12],"a":[14,46,62,93,160],"common":[15],"problem":[16],"in":[17,30,67,82],"the":[18,37,43,77,97,108,118,121,126,129,138,150,153,156],"growing":[19],"elderly":[20],"population.":[21],"Fall-risk":[22],"systems":[24],"have":[25],"proven":[26],"to":[27,91,106,148],"be":[28],"helpful":[29],"community-based":[31],"fall":[32],"prevention":[33],"programs.":[34],"One":[35],"of":[36,40,45,128,152],"risk":[38],"factors":[39],"falling":[41],"deterioration":[44],"person's":[47],"performance.":[49],"For":[50],"example,":[51],"gait":[52],"training,":[53],"which":[54,68],"enhances":[55],"both":[56],"motor":[57],"and":[58,88,141],"cognitive":[59],"functions,":[60],"multi-target":[63],"stepping":[64],"task":[65],"(MTST),":[66],"participants":[69,167],"step":[70],"on":[71,117],"assigned":[72],"colored":[73],"targets.":[74],"To":[75,124],"evaluate":[76,107,125],"during":[80],"MTST":[81,113,135,154],"human":[83],"living":[84],"space,":[85],"mapping":[87,103],"navigation":[90],"maintain":[92],"safe":[94],"distance":[95],"from":[96],"participant":[98],"are":[99,115,144,168],"key":[100],"technologies.":[101],"Projection":[102],"used":[105],"long-distance":[109],"performance,":[111],"where":[112],"images":[114],"displayed":[116],"floor":[119],"by":[120,155],"moving":[122,139,157],"DAR.":[123],"accuracy":[127],"projected":[130],"target":[131],"position,":[132],"experiments":[133,163],"for":[134],"DAR":[140,158],"video":[142],"analysis":[143],"carried":[145,169],"out.":[146,170],"Additionally,":[147],"verify":[149],"validity":[151],"at":[159],"constant":[161],"speed,":[162],"with":[164],"several":[165],"young":[166]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}