{"id":"https://openalex.org/W2342605466","doi":"https://doi.org/10.5220/0005743106110619","title":"Reducing Uncertainty in User-independent Activity Recognition - A Sensor Fusion-based Approach","display_name":"Reducing Uncertainty in User-independent Activity Recognition - A Sensor Fusion-based Approach","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2342605466","doi":"https://doi.org/10.5220/0005743106110619","mag":"2342605466"},"language":"en","primary_location":{"id":"doi:10.5220/0005743106110619","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0005743106110619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods","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/A5069221764","display_name":"Pekka Siirtola","orcid":"https://orcid.org/0000-0002-5995-5421"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Pekka Siirtola","raw_affiliation_strings":["University of Oulu, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070507098","display_name":"Juha R\u00f6ning","orcid":"https://orcid.org/0000-0001-9993-8602"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Juha R\u00f6ning","raw_affiliation_strings":["University of Oulu, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Oulu, Finland","institution_ids":["https://openalex.org/I98381234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98381234"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"611","last_page":"619"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9621000289916992,"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":0.9621000289916992,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.9484720230102539},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.7449963688850403},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.7260708808898926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6635326743125916},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5698278546333313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5426464676856995},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4801435172557831},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47027283906936646},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.46022018790245056},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.444919228553772},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44247063994407654},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3960264325141907},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18513408303260803}],"concepts":[{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.9484720230102539},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.7449963688850403},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.7260708808898926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6635326743125916},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5698278546333313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5426464676856995},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4801435172557831},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47027283906936646},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.46022018790245056},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.444919228553772},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44247063994407654},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3960264325141907},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18513408303260803},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0005743106110619","is_oa":false,"landing_page_url":"https://doi.org/10.5220/0005743106110619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods","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":0,"referenced_works":[],"related_works":["https://openalex.org/W2356006086","https://openalex.org/W1973973903","https://openalex.org/W2545168295","https://openalex.org/W2365897603","https://openalex.org/W4234814094","https://openalex.org/W2156308897","https://openalex.org/W4303613760","https://openalex.org/W2361871310","https://openalex.org/W2417246878","https://openalex.org/W1982154684"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"a":[3,18,42],"novel":[4],"user-independent":[5],"method":[6,25,101],"to":[7,47,94,96,143,184],"recognize":[8],"activities":[9],"accurately":[10],"in":[11],"situations":[12],"where":[13],"traditional\r\n\r\naccelerometer":[14],"based":[15,36,74],"classification":[16,60,81,152],"contains":[17,65],"lot":[19],"of":[20,79,121,174],"uncertainty":[21,66],"is":[22,45,56,69,72,85,102],"presented.":[23],"The":[24,100,128],"uses":[26],"two":[27,105],"recognition\r\n\r\nmodels:":[28],"one":[29],"using":[30,63,104,112,144],"only":[31,57,145],"accelerometer":[32,113,124],"data":[33,109,119,122],"and":[34,83,114,116,125,166],"other":[35],"on":[37,75],"sensor":[38,43,54,175],"fusion.":[39],"However,":[40],"as":[41,158],"fusionbased\r\n\r\nmethod":[44],"known":[46],"consume":[48],"more":[49],"battery":[50],"than":[51],"an":[52],"accelerometer-based,":[53],"fusion":[55,176],"used\r\n\r\nwhen":[58],"the":[59,76,80,91,136,151,172,179],"result":[61,82],"obtained":[62],"acceleration":[64],"and,":[67],"therefore,":[68],"unreliable.\r\n\r\nThis":[70],"reliability":[71],"measured":[73],"posterior":[77,159],"probabilities":[78,160],"it":[84,98],"studied":[86],"in\r\n\r\nthe":[87],"article":[88],"how":[89],"high":[90],"probability":[92],"needs":[93],"be":[95,140,156,164],"consider":[97],"reliable.":[99],"tested":[103],"data\r\n\r\nsets:":[106],"daily":[107],"activity":[108],"set":[110],"collected":[111],"magnetometer,":[115],"tool":[117],"recognition":[118,137,180],"set\r\n\r\nconsisting":[120],"from":[123,182],"gyroscope":[126],"measurements.":[127],"results":[129,153,170,173],"show":[130],"that":[131],"by":[132,167],"applying":[133],"the\r\n\r\npresented":[134],"method,":[135],"rates":[138],"can":[139],"improved":[141],"compared":[142],"accelerometers.":[146],"It":[147],"was":[148],"noted\r\n\r\nthat":[149],"all":[150],"should":[154],"not":[155],"trusted":[157],"under":[161],"95%":[162],"cannot":[163],"considered\r\n\r\nreliable,":[165],"replacing":[168],"these":[169],"with":[171],"-based":[177],"model,":[178],"accuracy\r\n\r\nimproves":[181],"three":[183],"six":[185],"percentage":[186],"units.":[187]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
