{"id":"https://openalex.org/W3091347115","doi":"https://doi.org/10.1109/icarm49381.2020.9195300","title":"Automatic Handwriting Inference via Motion Sensor Embedded Wrist-worn Device","display_name":"Automatic Handwriting Inference via Motion Sensor Embedded Wrist-worn Device","publication_year":2020,"publication_date":"2020-09-14","ids":{"openalex":"https://openalex.org/W3091347115","doi":"https://doi.org/10.1109/icarm49381.2020.9195300","mag":"3091347115"},"language":"en","primary_location":{"id":"doi:10.1109/icarm49381.2020.9195300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm49381.2020.9195300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5072327512","display_name":"Yixue Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixue Yao","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013130496","display_name":"Jinjiang Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinjiang Lai","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060564734","display_name":"Chengwen Luo","orcid":"https://orcid.org/0000-0003-0293-0781"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengwen Luo","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10985179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"364","last_page":"367"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13382","display_name":"Robotics and Automated Systems","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7919189929962158},{"id":"https://openalex.org/keywords/handwriting","display_name":"Handwriting","score":0.6960099935531616},{"id":"https://openalex.org/keywords/smartwatch","display_name":"Smartwatch","score":0.6371366381645203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6061157584190369},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5399172306060791},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5235119462013245},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5079942345619202},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.493233859539032},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.47748279571533203},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46008989214897156},{"id":"https://openalex.org/keywords/intelligent-sensor","display_name":"Intelligent sensor","score":0.42689967155456543},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.42390185594558716},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35173845291137695},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3453730344772339},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.2685375511646271},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.22008877992630005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7919189929962158},{"id":"https://openalex.org/C2779386606","wikidata":"https://www.wikidata.org/wiki/Q2393642","display_name":"Handwriting","level":2,"score":0.6960099935531616},{"id":"https://openalex.org/C29794715","wikidata":"https://www.wikidata.org/wiki/Q5362345","display_name":"Smartwatch","level":3,"score":0.6371366381645203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6061157584190369},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5399172306060791},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5235119462013245},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5079942345619202},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.493233859539032},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.47748279571533203},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46008989214897156},{"id":"https://openalex.org/C176563091","wikidata":"https://www.wikidata.org/wiki/Q669238","display_name":"Intelligent sensor","level":3,"score":0.42689967155456543},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.42390185594558716},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35173845291137695},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3453730344772339},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.2685375511646271},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.22008877992630005},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarm49381.2020.9195300","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm49381.2020.9195300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2121919248","https://openalex.org/W2326729945","https://openalex.org/W2396666837","https://openalex.org/W2481930807","https://openalex.org/W2573601984","https://openalex.org/W2598587204","https://openalex.org/W2624212975","https://openalex.org/W2787260200","https://openalex.org/W2789860971","https://openalex.org/W2800583139","https://openalex.org/W2883900395","https://openalex.org/W2890688138","https://openalex.org/W2895947121","https://openalex.org/W2896381947","https://openalex.org/W2908718929","https://openalex.org/W2914723285","https://openalex.org/W2917310405","https://openalex.org/W2957081053","https://openalex.org/W2964121744","https://openalex.org/W2975254854","https://openalex.org/W2982586672","https://openalex.org/W3087477063","https://openalex.org/W6721872216","https://openalex.org/W6768187507"],"related_works":["https://openalex.org/W2748818549","https://openalex.org/W4304142278","https://openalex.org/W2342865424","https://openalex.org/W2587509230","https://openalex.org/W4283331601","https://openalex.org/W3097068272","https://openalex.org/W4210780304","https://openalex.org/W3093846146","https://openalex.org/W2802035586","https://openalex.org/W4313463160"],"abstract_inverted_index":{"The":[0,135],"rise":[1],"of":[2,5,12,59],"sensor-equipped":[3],"Internet":[4],"Things":[6],"devices":[7],"has":[8,141],"flourished":[9],"the":[10,37,40,53,56,139],"development":[11],"smart":[13,25,28,146],"sensing":[14,17,76,148],"systems.":[15],"Handwriting":[16],"as":[18,50,52],"an":[19],"important":[20],"enabler":[21],"for":[22,109],"applications":[23],"in":[24,39,55],"homes":[26],"and":[27,83,100,112],"educations,":[29],"etc,":[30],"is":[31,79,121],"a":[32,71,90,96,101,126],"challenging":[33],"problem":[34],"due":[35],"to":[36,65,81,124,143],"noise":[38],"sensor":[41],"data":[42,97],"collected":[43],"from":[44],"common":[45],"off-the-shelf":[46],"MEMS":[47],"equipped":[48],"devices,":[49],"well":[51],"diversities":[54],"writing":[57],"style":[58],"different":[60],"users.":[61],"In":[62],"this":[63],"paper,":[64],"encounter":[66],"these":[67],"problems,":[68],"we":[69,94],"propose":[70],"novel":[72,102],"smartwatch":[73],"based":[74],"handwriting":[75,147],"system":[77,140],"which":[78,106],"unobtrusive":[80],"use":[82],"achieves":[84],"high":[85,127],"recognition":[86,92,128],"accuracy.":[87],"To":[88],"achieve":[89,125],"robust":[91],"accuracy,":[93],"incorporate":[95],"pre-processing":[98],"module":[99],"feature":[103,115],"fusion":[104],"model":[105,120],"employs":[107],"PCA":[108],"time":[110],"domain":[111,114],"frequency":[113],"fusion.":[116],"A":[117],"deep":[118],"learning":[119],"then":[122],"used":[123],"performance":[129],"with":[130],"92.42%":[131],"accuracy":[132],"on":[133],"average.":[134],"results":[136],"show":[137],"that":[138],"potential":[142],"support":[144],"future":[145],"applications.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
