{"id":"https://openalex.org/W3005106173","doi":"https://doi.org/10.1145/3374920.3374943","title":"MuscleSense","display_name":"MuscleSense","publication_year":2020,"publication_date":"2020-02-05","ids":{"openalex":"https://openalex.org/W3005106173","doi":"https://doi.org/10.1145/3374920.3374943","mag":"3005106173"},"language":"en","primary_location":{"id":"doi:10.1145/3374920.3374943","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374920.3374943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourteenth International Conference on Tangible, Embedded, and Embodied Interaction","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/A5032070381","display_name":"Chin Guan Lim","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chin Guan Lim","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101689599","display_name":"Ching-Yi Tsai","orcid":"https://orcid.org/0000-0001-5664-6562"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chin Yi Tsai","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075337538","display_name":"Mike Y. Chen","orcid":"https://orcid.org/0000-0001-5410-652X"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Mike Y. Chen","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan Roc"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032070381"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":1.3678,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.83071184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"255","last_page":"263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9979000091552734,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9970999956130981,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9793999791145325,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.8909794092178345},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.7109854221343994},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6576040983200073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6462587714195251},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.567380964756012},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.5613263249397278},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.45231714844703674},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4452216625213623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3516310453414917},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.34948569536209106},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.30477070808410645},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.259944349527359},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2123066782951355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.138311505317688},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08980110287666321}],"concepts":[{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.8909794092178345},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7109854221343994},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6576040983200073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6462587714195251},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.567380964756012},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.5613263249397278},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.45231714844703674},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4452216625213623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3516310453414917},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.34948569536209106},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.30477070808410645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.259944349527359},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2123066782951355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.138311505317688},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08980110287666321},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3374920.3374943","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374920.3374943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fourteenth International Conference on Tangible, Embedded, and Embodied Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W586228260","https://openalex.org/W1534268656","https://openalex.org/W1870746867","https://openalex.org/W1945176971","https://openalex.org/W1972306906","https://openalex.org/W1975433786","https://openalex.org/W1991239827","https://openalex.org/W2010320917","https://openalex.org/W2019342228","https://openalex.org/W2022148936","https://openalex.org/W2029441917","https://openalex.org/W2041905008","https://openalex.org/W2062177372","https://openalex.org/W2080647887","https://openalex.org/W2080915355","https://openalex.org/W2108328714","https://openalex.org/W2158207965","https://openalex.org/W2209204668","https://openalex.org/W2310313792","https://openalex.org/W2403758475","https://openalex.org/W2488164446","https://openalex.org/W2489553151","https://openalex.org/W2762706434","https://openalex.org/W2789524428","https://openalex.org/W2898581654","https://openalex.org/W2907305830","https://openalex.org/W2907706589","https://openalex.org/W2941054658","https://openalex.org/W4234531549","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W986318368","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2990194547","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W1480123525","https://openalex.org/W2414054180","https://openalex.org/W4214892316","https://openalex.org/W2287264064"],"abstract_inverted_index":{"Strength":[0],"training":[1,17,21],"improves":[2],"overall":[3],"health,":[4],"well-being,":[5],"physical":[6],"appearance,":[7],"and":[8,30,45,84,95,126,129],"sports":[9],"performance.There":[10],"are":[11],"four":[12],"major":[13],"factors":[14],"that":[15,73,108],"affect":[16],"efficacy":[18],"in":[19,120],"a":[20,102],"session:":[22],"exercise":[23,40,57,62,75],"type,":[24,41],"number":[25,42],"of":[26,43,91,98,113],"repetitions,":[27,44],"movement":[28,46],"velocity,":[29],"workload.":[31],"Prior":[32],"research":[33],"has":[34],"used":[35],"wearable":[36,79],"sensors":[37,83,128],"to":[38,55],"detect":[39],"velocity":[47],"while":[48],"training.":[49],"However,":[50],"detecting":[51],"workload":[52,76,122],"remains":[53],"constrained":[54],"instrumented":[56],"equipment,":[58],"such":[59],"as":[60],"smart":[61],"machines":[63],"or":[64],"RFID-tagged":[65],"free":[66],"weights.This":[67],"paper":[68],"presents":[69],"MuscleSense,":[70],"an":[71,111],"approach":[72],"estimates":[74],"by":[77],"using":[78,123],"Surface":[80],"Electromyography":[81],"(sEMG)":[82],"regression":[85,93,132],"analysis.":[86],"We":[87],"evaluated":[88],"the":[89,96],"accuracy":[90,112],"several":[92],"models":[94],"effects":[97],"sensor":[99],"placement":[100],"through":[101],"20-person":[103],"user":[104],"study.":[105],"Results":[106],"showed":[107],"MuscleSense":[109],"achieved":[110],"0.68kg":[114],"(root":[115],"mean":[116],"square":[117],"error,":[118],"RMSE)":[119],"sensing":[121],"both":[124],"forearm":[125],"arm":[127],"support":[130],"vector":[131],"(SVR).":[133]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-02-14T00:00:00"}