{"id":"https://openalex.org/W2484286018","doi":"https://doi.org/10.1109/hsi.2016.7529613","title":"Electromyography based handwriting recognition system using LM-BP Neural Network","display_name":"Electromyography based handwriting recognition system using LM-BP Neural Network","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2484286018","doi":"https://doi.org/10.1109/hsi.2016.7529613","mag":"2484286018"},"language":"en","primary_location":{"id":"doi:10.1109/hsi.2016.7529613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi.2016.7529613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Conference on Human System Interactions (HSI)","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/A5056154094","display_name":"Shiying Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiying Tan","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, CN"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, CN","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113777416","display_name":"Yueying An","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yueying An","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, CN"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, CN","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043561002","display_name":"Yulun Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulun Wu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, CN"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, CN","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101636282","display_name":"Dingguo Zhang","orcid":"https://orcid.org/0000-0003-4803-7489"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingguo Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, CN"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, CN","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056154094"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.8097,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74300668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9983999729156494,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9922999739646912,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.974399983882904,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.7782428860664368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7299474477767944},{"id":"https://openalex.org/keywords/intelligent-character-recognition","display_name":"Intelligent character recognition","score":0.6765167713165283},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.6713095903396606},{"id":"https://openalex.org/keywords/handwriting","display_name":"Handwriting","score":0.6644501686096191},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6542255878448486},{"id":"https://openalex.org/keywords/handwriting-recognition","display_name":"Handwriting recognition","score":0.6528959274291992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.565878689289093},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5387000441551208},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5302343368530273},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5183154344558716},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.5147209763526917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5056090354919434},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43337225914001465},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.34231212735176086},{"id":"https://openalex.org/keywords/character-recognition","display_name":"Character recognition","score":0.09338530898094177}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7782428860664368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299474477767944},{"id":"https://openalex.org/C44868376","wikidata":"https://www.wikidata.org/wiki/Q3099089","display_name":"Intelligent character recognition","level":4,"score":0.6765167713165283},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.6713095903396606},{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.6644501686096191},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6542255878448486},{"id":"https://openalex.org/C112640561","wikidata":"https://www.wikidata.org/wiki/Q2440634","display_name":"Handwriting recognition","level":3,"score":0.6528959274291992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.565878689289093},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5387000441551208},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5302343368530273},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5183154344558716},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.5147209763526917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5056090354919434},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43337225914001465},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.34231212735176086},{"id":"https://openalex.org/C2987247673","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Character recognition","level":3,"score":0.09338530898094177},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hsi.2016.7529613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hsi.2016.7529613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Conference on Human System Interactions (HSI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7099999785423279,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1734202222","https://openalex.org/W2019773173","https://openalex.org/W2056874271","https://openalex.org/W2059096379","https://openalex.org/W2085205501","https://openalex.org/W2094711722","https://openalex.org/W2222507370","https://openalex.org/W6637884049","https://openalex.org/W6664967132"],"related_works":["https://openalex.org/W2419138286","https://openalex.org/W2507549656","https://openalex.org/W2050318184","https://openalex.org/W101156158","https://openalex.org/W3047607512","https://openalex.org/W3003949997","https://openalex.org/W4390983538","https://openalex.org/W2110485610","https://openalex.org/W183832189","https://openalex.org/W2406729210"],"abstract_inverted_index":{"With":[0],"the":[1,47,54,64,90,107,113,138,149,157,170],"development":[2],"of":[3,46,57,67,92,103,109,115],"technology,":[4],"Human-Computer":[5],"Interface":[6],"(HCI)":[7],"system":[8,81,126,140,150,174],"is":[9,22,44,121,128],"playing":[10],"a":[11,23,125,166],"more":[12,14,60,175],"and":[13,29,35,134,148,160],"important":[15,49],"role":[16],"in":[17],"our":[18],"daily":[19],"life.":[20],"HCI":[21,50],"way":[24],"to":[25,30,62,98,105,123],"set":[26],"up":[27],"connections":[28],"transfer":[31],"information":[32],"between":[33],"human":[34],"computer.":[36],"Pattern":[37],"recognition":[38,80,173],"based":[39,82,141,151],"on":[40,83,142,152],"Surface":[41],"Electromyography":[42],"(SEMG)":[43],"one":[45],"most":[48],"technologies.":[51],"To":[52],"make":[53],"input":[55],"device":[56],"electronic":[58],"products":[59],"portable":[61],"satisfy":[63],"people'":[65],"need":[66],"interacting":[68],"with":[69,137],"computer":[70],"(especially":[71],"disabled":[72],"people),":[73],"this":[74,95],"research":[75],"proposes":[76],"an":[77],"SEMG-based":[78,131,171],"handwriting":[79,172],"LM-BP":[84,118],"(Back":[85],"Propagation)":[86],"Neural":[87,119],"Network.":[88],"In":[89,112],"aspect":[91,114],"signal":[93],"preprocessing,":[94],"thesis":[96],"tries":[97],"use":[99],"some":[100],"new":[101],"features":[102,108],"signals":[104,110],"reflect":[106],"better.":[111],"pattern":[116],"recognition,":[117],"Networking":[120],"applied":[122],"design":[124],"that":[127],"suitable":[129],"for":[130],"model":[132],"training":[133,158,161],"recognition.":[135],"Compared":[136],"existing":[139],"Dynamic":[143],"Time":[144],"Warping":[145],"(DTW)":[146],"algorithm":[147],"Hidden":[153],"Markov":[154],"Model":[155],"(HMM),":[156],"times":[159],"time":[162],"have":[163],"been":[164],"reduced":[165],"lot,":[167],"which":[168],"makes":[169],"practical.":[176]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
