{"id":"https://openalex.org/W2564965427","doi":"https://doi.org/10.1109/iros.2016.7759384","title":"A convolutional neural network for robotic arm guidance using sEMG based frequency-features","display_name":"A convolutional neural network for robotic arm guidance using sEMG based frequency-features","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2564965427","doi":"https://doi.org/10.1109/iros.2016.7759384","mag":"2564965427"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2016.7759384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2016.7759384","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/A5043466289","display_name":"Ulysse C\u00f4t\u00e9 Allard","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ulysse Cote Allard","raw_affiliation_strings":["Department of Computer and Electrical Engineering"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Electrical Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066685455","display_name":"Fran\u00e7ois Nougarou","orcid":"https://orcid.org/0000-0001-5808-8066"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francois Nougarou","raw_affiliation_strings":["Department of Computer and Electrical Engineering"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Electrical Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082140460","display_name":"Cheikh Latyr Fall","orcid":"https://orcid.org/0000-0002-6717-2910"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheikh Latyr Fall","raw_affiliation_strings":["Department of Computer and Electrical Engineering"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Electrical Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032902130","display_name":"Philippe Gigu\u00e8re","orcid":"https://orcid.org/0000-0002-7520-8290"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Philippe Giguere","raw_affiliation_strings":["Department of Computer Science and Software Engineering"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055839781","display_name":"Cl\u00e9ment Gosselin","orcid":"https://orcid.org/0000-0001-7422-4515"},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Clement Gosselin","raw_affiliation_strings":["Department of Mechanical Engineering, Universit\u00e9 Laval, Qu\u00e9bec, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Universit\u00e9 Laval, Qu\u00e9bec, Canada","institution_ids":["https://openalex.org/I43406934"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054812796","display_name":"Fran\u00e7ois Laviolette","orcid":"https://orcid.org/0000-0002-1937-2512"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Francois Laviolette","raw_affiliation_strings":["Department of Computer Science and Software Engineering"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018071134","display_name":"Benoit Gosselin","orcid":"https://orcid.org/0000-0003-1473-3451"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Benoit Gosselin","raw_affiliation_strings":["Department of Computer and Electrical Engineering"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Electrical Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5043466289"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.6411,"has_fulltext":false,"cited_by_count":137,"citation_normalized_percentile":{"value":0.96459969,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2464","last_page":"2470"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":1.0,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular 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":0.9984999895095825,"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/computer-science","display_name":"Computer science","score":0.7937524318695068},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6736730337142944},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6718108654022217},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.635880708694458},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6179078817367554},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.46920767426490784},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.44959086179733276},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.44020721316337585},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.4290856719017029},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4201599359512329},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4132798910140991},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.35805821418762207},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3477551341056824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34346282482147217}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7937524318695068},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6736730337142944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6718108654022217},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.635880708694458},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6179078817367554},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.46920767426490784},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.44959086179733276},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.44020721316337585},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.4290856719017029},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4201599359512329},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4132798910140991},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.35805821418762207},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3477551341056824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34346282482147217},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros.2016.7759384","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2016.7759384","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":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W648386075","https://openalex.org/W1530367432","https://openalex.org/W1606347560","https://openalex.org/W1609287761","https://openalex.org/W1731081199","https://openalex.org/W1904365287","https://openalex.org/W1964927968","https://openalex.org/W1975804500","https://openalex.org/W2022543007","https://openalex.org/W2066327120","https://openalex.org/W2106526692","https://openalex.org/W2112739286","https://openalex.org/W2112796928","https://openalex.org/W2123167643","https://openalex.org/W2125585124","https://openalex.org/W2129316790","https://openalex.org/W2133530044","https://openalex.org/W2156914236","https://openalex.org/W2158662820","https://openalex.org/W2162480886","https://openalex.org/W2165619603","https://openalex.org/W2276486856","https://openalex.org/W2289252105","https://openalex.org/W2296634298","https://openalex.org/W2331849848","https://openalex.org/W2413089822","https://openalex.org/W2919115771","https://openalex.org/W2963674932","https://openalex.org/W2977419794","https://openalex.org/W3005347330","https://openalex.org/W3024621361","https://openalex.org/W4285719527","https://openalex.org/W6631802301","https://openalex.org/W6636358008","https://openalex.org/W6637618735","https://openalex.org/W6640036494","https://openalex.org/W6773842061","https://openalex.org/W6991483430"],"related_works":["https://openalex.org/W2537963312","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"Recently,":[0],"robotics":[1],"has":[2],"been":[3],"seen":[4],"as":[5,86,123,144,242],"a":[6,57,145,159,193,207,229,244],"key":[7],"solution":[8],"to":[9,19,25,36,84,92,127,134,152,227,254,256],"improve":[10],"the":[11,41,66,102,153,183,220,234,237,250],"quality":[12],"of":[13,15,65,69,109,155,185,195,202,209],"life":[14],"amputees.":[16],"In":[17,49,107,216],"order":[18],"create":[20],"smarter":[21],"robotic":[22,58,231],"prosthetic":[23],"devices":[24],"be":[26,34,89],"used":[27,219],"in":[28,43,204],"an":[29,44,200],"everyday":[30],"context,":[31],"one":[32],"must":[33,88],"able":[35,253],"interface":[37],"them":[38],"seamlessly":[39],"with":[40,199,213,224,236,243],"end-user":[42],"inexpensive,":[45],"yet":[46,120],"reliable":[47],"way.":[48],"this":[50,179,186],"paper,":[51],"we":[52,148,181,218],"are":[53,82,118],"looking":[54],"at":[55],"guiding":[56],"device":[59,169],"by":[60,72,138,191,259],"detecting":[61],"gestures":[62,198],"through":[63],"measurement":[64],"electrical":[67],"activity":[68],"muscles":[70],"captured":[71],"surface":[73],"electromyography":[74],"(sEMG).":[75],"Reliable":[76],"sEMG-based":[77],"gesture":[78,156],"classifiers":[79,114],"for":[80,104,115,158],"end-users":[81],"challenging":[83],"design,":[85],"they":[87],"extremely":[90],"robust":[91],"signal":[93],"drift,":[94],"muscle":[95],"fatigue":[96],"and":[97,240],"small":[98],"electrode":[99],"displacement":[100],"without":[101],"need":[103],"constant":[105],"recalibration.":[106,215],"spite":[108],"extensive":[110],"research,":[111],"sophisticated":[112],"sEMG":[113,168],"prostheses":[116],"guidance":[117],"not":[119],"widely":[121],"used,":[122],"systems":[124],"often":[125],"fail":[126],"solve":[128],"these":[129,136],"issues":[130],"simultaneously.":[131],"We":[132,246],"propose":[133],"address":[135],"problems":[137],"employing":[139],"Convolutional":[140],"Neural":[141],"Networks.":[142],"Specifically":[143],"first":[146],"step,":[147],"demonstrate":[149],"their":[150],"viability":[151],"problem":[154],"recognition":[157],"low-cost,":[160],"low-sampling":[161],"rate":[162],"(200Hz)":[163],"consumer-grade,":[164],"8-channel,":[165],"dry":[166],"electrodes":[167],"called":[170],"Myo":[171],"armband":[172,235],"(Thalmic":[173],"Labs)":[174],"on":[175,262],"able-bodied":[176],"subjects.":[177],"To":[178],"effect,":[180],"assessed":[182],"robustness":[184],"machine":[187],"learning":[188],"oriented":[189],"approach":[190],"classifying":[192],"combination":[194],"7":[196],"hand/wrist":[197],"accuracy":[201],"\u223c97.9%":[203],"real-time,":[205],"over":[206],"period":[208],"6":[210],"consecutive":[211],"days":[212],"no":[214],"addition,":[217],"classifier":[221,251],"(in":[222],"conjunction":[223],"orientation":[225],"data)":[226],"guide":[228],"6DoF":[230],"arm,":[232],"using":[233],"same":[238],"speed":[239],"precision":[241],"joystick.":[245],"also":[247],"show":[248],"that":[249],"is":[252],"generalize":[255],"different":[257],"users":[258],"testing":[260],"it":[261],"18":[263],"participants.":[264]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}