{"id":"https://openalex.org/W2979928916","doi":"https://doi.org/10.1109/mlsp.2019.8918815","title":"Dynamic System Identification For Guidance Of Stimulation Parameters In Haptic Simulation Environments","display_name":"Dynamic System Identification For Guidance Of Stimulation Parameters In Haptic Simulation Environments","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2979928916","doi":"https://doi.org/10.1109/mlsp.2019.8918815","mag":"2979928916"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2019.8918815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2019.8918815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5079209743","display_name":"Anda\u00e7 Demir","orcid":"https://orcid.org/0000-0002-2869-3879"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andac Demir","raw_affiliation_strings":["Electrical and Computer Engineering Department, Northeastern University, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Northeastern University, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086708624","display_name":"Safaa Eldeeb","orcid":"https://orcid.org/0000-0002-5704-5408"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Safaa Eldeeb","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Pittsburgh, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007822978","display_name":"Murat Ak\u00e7akaya","orcid":"https://orcid.org/0000-0001-5094-1931"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murat Akcakaya","raw_affiliation_strings":["Electrical and Computer Engineering Department, University of Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, University of Pittsburgh, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083261801","display_name":"Deniz Erdo\u011fmu\u015f","orcid":"https://orcid.org/0000-0002-1114-3539"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deniz Erdogmus","raw_affiliation_strings":["Electrical and Computer Engineering Department, Northeastern University, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Northeastern University, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079209743"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12612995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"191","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11687","display_name":"Teleoperation and Haptic Systems","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11687","display_name":"Teleoperation and Haptic Systems","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.9962999820709229,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9873999953269958,"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/haptic-technology","display_name":"Haptic technology","score":0.896705150604248},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7912392616271973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7201199531555176},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6549298167228699},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.6036845445632935},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5866215825080872},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5518923997879028},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5513573884963989},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45756086707115173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45315974950790405},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.43698734045028687},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.38602906465530396},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32745659351348877},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10883370041847229},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.084043949842453},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08390539884567261},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.07270333170890808}],"concepts":[{"id":"https://openalex.org/C152086174","wikidata":"https://www.wikidata.org/wiki/Q3030571","display_name":"Haptic technology","level":2,"score":0.896705150604248},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7912392616271973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7201199531555176},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6549298167228699},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.6036845445632935},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5866215825080872},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5518923997879028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5513573884963989},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45756086707115173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45315974950790405},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.43698734045028687},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.38602906465530396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32745659351348877},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10883370041847229},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.084043949842453},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08390539884567261},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.07270333170890808},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp.2019.8918815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2019.8918815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1117629160","https://openalex.org/W1964670452","https://openalex.org/W1967429206","https://openalex.org/W1976202430","https://openalex.org/W1996853899","https://openalex.org/W2015330911","https://openalex.org/W2060126343","https://openalex.org/W2077888611","https://openalex.org/W2094813716","https://openalex.org/W2134239854","https://openalex.org/W2196515151","https://openalex.org/W2400894311","https://openalex.org/W2409096620","https://openalex.org/W2411968321","https://openalex.org/W2473379106","https://openalex.org/W2947626232","https://openalex.org/W3141830910","https://openalex.org/W4230206799","https://openalex.org/W6712669127","https://openalex.org/W6721056294"],"related_works":["https://openalex.org/W156716224","https://openalex.org/W2111871955","https://openalex.org/W3175380930","https://openalex.org/W1989694608","https://openalex.org/W2139876914","https://openalex.org/W1986738380","https://openalex.org/W2642061445","https://openalex.org/W4233260495","https://openalex.org/W3094485622","https://openalex.org/W3001080452"],"abstract_inverted_index":{"We":[0,97],"develop":[1],"a":[2,48,64],"dynamic":[3],"system":[4],"identification":[5],"model":[6,53,131],"to":[7,55,109],"identify":[8],"relationships":[9],"among":[10],"simultaneously":[11],"recorded":[12],"electroencephalography":[13],"(EEG),":[14],"electromyography":[15],"(EMG)":[16],"and":[17,85,106,112,123,145],"force":[18,124],"signals":[19],"measured":[20],"from":[21,115],"12":[22],"participants":[23],"performing":[24],"haptic":[25,86,113,138],"interactions":[26,87],"with":[27],"3D":[28],"printed":[29],"surfaces":[30],"having":[31],"different":[32,118],"textures.":[33],"In":[34,72,126],"the":[35,41,57,68,73,78,94],"first":[36],"stage,":[37,75],"we":[38,76],"solve":[39],"for":[40,137],"maximum":[42],"likelihood":[43,70],"(ML)":[44],"parameter":[45],"vector":[46,51],"of":[47,93,101,120],"parsimonious":[49,90],"integrated":[50],"autoregression":[52],"(VAR)":[54],"estimate":[56],"latency":[58],"between":[59,81],"endogenous":[60],"time":[61],"variables,":[62],"utilizing":[63],"grid":[65],"search":[66],"over":[67],"log":[69],"scores.":[71],"second":[74],"explore":[77],"modality":[79,107],"dependencies":[80,108],"synchronized":[82],"EEG,":[83,121],"EMG":[84,122],"by":[88],"training":[89],"VAR":[91],"models":[92],"same":[95],"structure.":[96],"use":[98],"our":[99,127],"knowledge":[100],"signal":[102],"latency,":[103],"lag":[104],"orders":[105],"predict":[110],"EEG":[111],"forces":[114],"any":[116],"provided":[117],"combination":[119],"measurements.":[125],"future":[128],"work,":[129],"this":[130],"will":[132],"guide":[133],"external":[134],"stimulation":[135],"parameters":[136],"interaction":[139],"simulation":[140],"in":[141],"scenarios,":[142],"including":[143],"teleoperations":[144],"virtual":[146],"environments.":[147]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
