{"id":"https://openalex.org/W4295768231","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882866","title":"Deep Reinforcement Learning based Haptic Enhancement for Tele-Diagnosis","display_name":"Deep Reinforcement Learning based Haptic Enhancement for Tele-Diagnosis","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4295768231","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882866"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee55066.2022.9882866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882866","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5090652627","display_name":"Wenjing Lin","orcid":"https://orcid.org/0000-0003-4715-9839"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wenjie Lin","raw_affiliation_strings":["Columbia University,Department of Mechanical Engineering,NY,USA","Department of Mechanical Engineering, Columbia University, NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University,Department of Mechanical Engineering,NY,USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Columbia University, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5090652627"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.5403,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57181311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11687","display_name":"Teleoperation and Haptic Systems","score":0.9998000264167786,"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":0.9998000264167786,"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9954000115394592,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9900000095367432,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/haptic-technology","display_name":"Haptic technology","score":0.8552043437957764},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7527497410774231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.714964747428894},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4303112328052521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4017558693885803},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.398894339799881}],"concepts":[{"id":"https://openalex.org/C152086174","wikidata":"https://www.wikidata.org/wiki/Q3030571","display_name":"Haptic technology","level":2,"score":0.8552043437957764},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7527497410774231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714964747428894},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4303112328052521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4017558693885803},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.398894339799881}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee55066.2022.9882866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882866","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7599999904632568,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W309042733","https://openalex.org/W1982974025","https://openalex.org/W1986966359","https://openalex.org/W2017805902","https://openalex.org/W2051317696","https://openalex.org/W2100656120","https://openalex.org/W2121762765","https://openalex.org/W2145730472","https://openalex.org/W2206556072","https://openalex.org/W2472455057","https://openalex.org/W2487468712","https://openalex.org/W2574843508","https://openalex.org/W2597183528","https://openalex.org/W2791723497","https://openalex.org/W2807668919","https://openalex.org/W2902555351","https://openalex.org/W2904256931","https://openalex.org/W2953723536","https://openalex.org/W2963864421","https://openalex.org/W2968790557","https://openalex.org/W2969086410","https://openalex.org/W2973909606","https://openalex.org/W2998014151","https://openalex.org/W3023041318","https://openalex.org/W3035408320","https://openalex.org/W3041688022","https://openalex.org/W3048265808","https://openalex.org/W3130407436","https://openalex.org/W3206177224","https://openalex.org/W3213075624","https://openalex.org/W4200407256","https://openalex.org/W4206580481","https://openalex.org/W4206900136","https://openalex.org/W4225515713","https://openalex.org/W6684921986"],"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/W4385473849","https://openalex.org/W4297156670","https://openalex.org/W4285173217"],"abstract_inverted_index":{"Tele-Diagnosis":[0],"is":[1,60,107,143],"beneficial":[2],"for":[3,64],"medical":[4],"care":[5],"in":[6,18],"areas":[7],"with":[8],"inadequate":[9],"resources,":[10],"which":[11],"helps":[12],"control":[13],"the":[14,19,50,75,80,89,96,100,113,119,126,131,140,163,167],"spread":[15],"of":[16,77,82,102,115,166],"Covid-19":[17],"current":[20],"pandemic.":[21],"Most":[22],"teleoperated":[23],"diagnostics":[24],"are":[25],"dependent":[26],"on":[27,95,118,125,152],"humans,":[28],"possibly":[29],"leading":[30],"to":[31,48,62,68,72,109,135],"cognitive":[32],"issue":[33],"caused":[34],"by":[35,145],"distanced":[36],"communication.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41],"propose":[42],"a":[43],"local":[44,153],"haptic":[45],"enhancement":[46],"framework":[47],"facilitate":[49],"remote":[51,127,132,155],"palpation.":[52],"The":[53],"deep":[54],"deterministic":[55],"policy":[56],"gradient":[57],"(DDPG)":[58],"algorithm":[59],"exploited":[61],"compensate":[63],"signal":[65],"transmission":[66],"due":[67],"latency,":[69],"allowing":[70],"human":[71],"operate":[73],"without":[74],"sense":[76],"delay.":[78],"With":[79],"help":[81],"weighted":[83],"recursive":[84],"least":[85],"squares":[86],"(WRLS)":[87],"method,":[88],"interactive":[90],"force":[91,103,121],"can":[92],"be":[93],"estimated":[94,120],"patient\u2019s":[97],"side":[98],"despite":[99],"lack":[101],"sensors.":[104],"Fuzzy":[105],"inference":[106,156],"used":[108],"diagnose":[110],"and":[111,122,154],"classify":[112],"extent":[114],"disease":[116],"based":[117,151],"motion":[123],"state":[124],"side,":[128],"thereby":[129],"leveraging":[130],"sensory":[133],"information":[134],"conduct":[136],"autonomous":[137],"reasoning.":[138],"Finally,":[139],"final":[141],"diagnosis":[142],"derived":[144],"performing":[146],"minimum":[147],"risk":[148],"Bayesian":[149],"decision":[150],"results.":[157],"Comparative":[158],"simulation":[159],"results":[160],"have":[161],"validated":[162],"superior":[164],"performances":[165],"proposed":[168],"scheme.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
