{"id":"https://openalex.org/W2774962992","doi":"https://doi.org/10.1109/iros.2017.8206302","title":"Recognizing actions during tactile manipulations through force sensing","display_name":"Recognizing actions during tactile manipulations through force sensing","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2774962992","doi":"https://doi.org/10.1109/iros.2017.8206302","mag":"2774962992"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2017.8206302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8206302","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/A5027106363","display_name":"Guru Subramani","orcid":"https://orcid.org/0000-0002-9035-347X"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guru Subramani","raw_affiliation_strings":["Department of Mechanical Engineering, University of Wisconsin, Madison"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Wisconsin, Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006252401","display_name":"Daniel Rakita","orcid":"https://orcid.org/0000-0001-6292-8515"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Rakita","raw_affiliation_strings":["Department of Computer Sciences, University of Wisconsin, Madison"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Wisconsin, Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701037","display_name":"Hongyi Wang","orcid":"https://orcid.org/0000-0002-8995-2168"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongyi Wang","raw_affiliation_strings":["Department of Computer Sciences, University of Wisconsin, Madison"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Wisconsin, Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057329774","display_name":"Jordan Black","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jordan Black","raw_affiliation_strings":["Department of Mechanical Engineering, University of Wisconsin, Madison"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Wisconsin, Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088739855","display_name":"Michael Zinn","orcid":"https://orcid.org/0000-0002-6815-5899"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Zinn","raw_affiliation_strings":["Department of Mechanical Engineering, University of Wisconsin, Madison"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Wisconsin, Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084778474","display_name":"Michael Gleicher","orcid":"https://orcid.org/0000-0003-3295-4071"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Gleicher","raw_affiliation_strings":["Department of Computer Sciences, University of Wisconsin, Madison"],"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, University of Wisconsin, Madison","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027106363"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":0.2563,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56074459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"3361","issue":null,"first_page":"4386","last_page":"4393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.996399998664856,"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":0.996399998664856,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9909999966621399,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9908000230789185,"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/morlet-wavelet","display_name":"Morlet wavelet","score":0.816191554069519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6725226640701294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6562356352806091},{"id":"https://openalex.org/keywords/continuous-wavelet-transform","display_name":"Continuous wavelet transform","score":0.5999826192855835},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5656270384788513},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5651695728302002},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5312749147415161},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.48978471755981445},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.48231005668640137},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4707789123058319},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.453700989484787},{"id":"https://openalex.org/keywords/tactile-sensor","display_name":"Tactile sensor","score":0.4529683291912079},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4303388297557831},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.22743043303489685},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.19085434079170227}],"concepts":[{"id":"https://openalex.org/C2778280487","wikidata":"https://www.wikidata.org/wiki/Q3505077","display_name":"Morlet wavelet","level":5,"score":0.816191554069519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6725226640701294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6562356352806091},{"id":"https://openalex.org/C95722684","wikidata":"https://www.wikidata.org/wiki/Q2622756","display_name":"Continuous wavelet transform","level":5,"score":0.5999826192855835},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5656270384788513},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5651695728302002},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5312749147415161},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.48978471755981445},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.48231005668640137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4707789123058319},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.453700989484787},{"id":"https://openalex.org/C46722567","wikidata":"https://www.wikidata.org/wiki/Q7674139","display_name":"Tactile sensor","level":3,"score":0.4529683291912079},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4303388297557831},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.22743043303489685},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.19085434079170227},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/iros.2017.8206302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2017.8206302","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306555","display_name":"Wisconsin Alumni Research Foundation","ror":"https://ror.org/00hwxbz16"},{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1417782584","https://openalex.org/W1538131130","https://openalex.org/W1633659671","https://openalex.org/W1975277950","https://openalex.org/W1983364832","https://openalex.org/W2002141059","https://openalex.org/W2015731639","https://openalex.org/W2021722152","https://openalex.org/W2034139177","https://openalex.org/W2089147225","https://openalex.org/W2101234009","https://openalex.org/W2106996050","https://openalex.org/W2115669646","https://openalex.org/W2115755118","https://openalex.org/W6632100814","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W2381051082","https://openalex.org/W2120691196","https://openalex.org/W2390892627","https://openalex.org/W2102741279","https://openalex.org/W2019547370","https://openalex.org/W2356584340","https://openalex.org/W2048171775","https://openalex.org/W1976811330","https://openalex.org/W1597024500","https://openalex.org/W2139616148"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"provide":[4],"a":[5,55,66,82,89],"method":[6,48],"for":[7],"identifying":[8],"and":[9],"temporally":[10],"localizing":[11],"tactile":[12],"force":[13,17,37],"actions":[14,86],"from":[15],"measured":[16],"signals.":[18],"Our":[19,47,78],"key":[20],"idea":[21],"is":[22],"to":[23,35,43,53],"use":[24],"the":[25,31],"continuous":[26],"wavelet":[27,34],"transform":[28,36],"(CWT)":[29],"with":[30,72],"Complex":[32],"Morlet":[33],"signals":[38],"into":[39],"feature":[40,51],"vectors":[41,52],"amenable":[42],"machine":[44],"learning":[45],"algorithms.":[46],"uses":[49],"these":[50],"train":[54],"classifier":[56],"that":[57,68],"recognizes":[58],"different":[59],"actions.":[60],"We":[61],"demonstrate":[62],"our":[63],"approach":[64],"in":[65],"system":[67,79],"records":[69],"human":[70],"activities":[71],"an":[73],"instrumented":[74],"set":[75,91],"of":[76,85,92],"tongs.":[77],"successfully":[80],"identifies":[81],"wide":[83],"range":[84],"based":[87],"on":[88],"small":[90],"labeled":[93],"examples.":[94]},"counts_by_year":[{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}