{"id":"https://openalex.org/W2566429685","doi":"https://doi.org/10.1109/iros.2016.7759150","title":"Using IMU data to demonstrate hand-clapping games to a robot","display_name":"Using IMU data to demonstrate hand-clapping games to a robot","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2566429685","doi":"https://doi.org/10.1109/iros.2016.7759150","mag":"2566429685"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2016.7759150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2016.7759150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5090905513","display_name":"Naomi T. Fitter","orcid":"https://orcid.org/0000-0002-6759-5948"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Naomi T. Fitter","raw_affiliation_strings":["Haptics Group, University of Pennsylvania, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Haptics Group, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080962480","display_name":"Katherine J. Kuchenbecker","orcid":"https://orcid.org/0000-0002-5004-0313"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katherine J. Kuchenbecker","raw_affiliation_strings":["Haptics Group, University of Pennsylvania, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Haptics Group, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090905513"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":2.0331,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87872827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"43","issue":null,"first_page":"851","last_page":"856"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.7710575461387634},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6808160543441772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6585811376571655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37798789143562317},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33808013796806335}],"concepts":[{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.7710575461387634},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6808160543441772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6585811376571655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37798789143562317},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33808013796806335}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2016.7759150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2016.7759150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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":24,"referenced_works":["https://openalex.org/W1507216665","https://openalex.org/W2000834629","https://openalex.org/W2024839775","https://openalex.org/W2038485832","https://openalex.org/W2050835671","https://openalex.org/W2071841410","https://openalex.org/W2073401630","https://openalex.org/W2090061392","https://openalex.org/W2096569962","https://openalex.org/W2099019320","https://openalex.org/W2100642335","https://openalex.org/W2105594594","https://openalex.org/W2109239289","https://openalex.org/W2121606156","https://openalex.org/W2123504417","https://openalex.org/W2132549764","https://openalex.org/W2141385588","https://openalex.org/W2151109745","https://openalex.org/W2159709716","https://openalex.org/W2170748977","https://openalex.org/W2305730232","https://openalex.org/W2404218691","https://openalex.org/W2580674146","https://openalex.org/W3036876381"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2091018038","https://openalex.org/W2225378543","https://openalex.org/W9839718","https://openalex.org/W3110613631","https://openalex.org/W4287122200","https://openalex.org/W2040913503","https://openalex.org/W3166845860","https://openalex.org/W2742744817"],"abstract_inverted_index":{"All":[0],"over":[1],"the":[2,69,114,125,131,160],"world,":[3],"people":[4,169],"find":[5],"joy":[6],"and":[7,16,25,38,85,105,122,165],"amusement":[8],"in":[9,130],"playing":[10],"hand-clapping":[11,73,78,91,116,126,174],"games":[12,175],"such":[13],"as":[14,19],"\u201cPat-a-cake\u201d":[15],"\u201cSlide.\u201d":[17],"Thus,":[18],"robots":[20],"enter":[21],"everyday":[22],"human":[23],"spaces":[24],"work":[26],"together":[27],"with":[28],"people,":[29],"we":[30],"see":[31],"potential":[32],"for":[33,143,153,162],"them":[34],"to":[35,68,82,89,172,176],"entertain,":[36],"engage,":[37],"assist":[39],"humans":[40],"through":[41],"cooperative":[42],"clapping":[43],"games.":[44],"This":[45],"paper":[46],"explores":[47],"how":[48],"data":[49,96],"recorded":[50,129],"from":[51,97],"a":[52,63,72,87,139,163],"pair":[53],"of":[54,71,95,113,124],"commonly":[55],"available":[56],"inertial":[57],"measurement":[58],"units":[59],"(IMUs)":[60],"worn":[61],"on":[62],"human's":[64],"hands":[65],"can":[66,109],"contribute":[67],"teaching":[70],"robot.":[74],"We":[75],"identified":[76],"representative":[77],"activities,":[79],"considered":[80],"approaches":[81],"classify":[83,111],"games,":[84],"conducted":[86],"study":[88],"record":[90],"motion":[92],"data.":[93],"Analysis":[94],"fifteen":[98],"participants":[99],"indicates":[100],"that":[101,168],"support":[102],"vector":[103],"machines":[104],"Markov":[106],"chain":[107],"analysis":[108],"correctly":[110],"95.5%":[112],"demonstrated":[115],"motions":[117],"(from":[118],"ten":[119],"discrete":[120],"actions)":[121],"92.3%":[123],"game":[127],"demonstrations":[128],"study.":[132],"These":[133],"results":[134,147],"were":[135],"calculated":[136],"by":[137],"withholding":[138],"participant's":[140],"entire":[141],"dataset":[142],"testing,":[144],"so":[145],"these":[146],"should":[148],"represent":[149],"general":[150],"system":[151],"behavior":[152],"new":[154],"users.":[155],"Overall,":[156],"this":[157],"research":[158],"lays":[159],"groundwork":[161],"simple":[164],"efficient":[166],"method":[167],"could":[170],"use":[171],"demonstrate":[173],"robots.":[177]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}