{"id":"https://openalex.org/W1504559306","doi":"https://doi.org/10.1109/icra.2015.7139613","title":"Human activity recognition using LZW-Coded Probabilistic Finite State Automata","display_name":"Human activity recognition using LZW-Coded Probabilistic Finite State Automata","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1504559306","doi":"https://doi.org/10.1109/icra.2015.7139613","mag":"1504559306"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2015.7139613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2015.7139613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Automation (ICRA)","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/A5064084870","display_name":"James P. Wilson","orcid":"https://orcid.org/0000-0002-0563-8025"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Wilson","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","[Department of Electrical and Computer Engineering, University of Connecticut, Storrs, 06269, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, University of Connecticut, Storrs, 06269, USA]","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042245083","display_name":"Nayeff Najjar","orcid":null},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nayeff Najjar","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","[Department of Electrical and Computer Engineering, University of Connecticut, Storrs, 06269, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, University of Connecticut, Storrs, 06269, USA]","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009542299","display_name":"James Z. Hare","orcid":"https://orcid.org/0000-0002-3920-7442"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Hare","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","[Department of Electrical and Computer Engineering, University of Connecticut, Storrs, 06269, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, University of Connecticut, Storrs, 06269, USA]","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100331772","display_name":"Shalabh Gupta","orcid":"https://orcid.org/0000-0003-0438-7700"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shalabh Gupta","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","[Department of Electrical and Computer Engineering, University of Connecticut, Storrs, 06269, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"[Department of Electrical and Computer Engineering, University of Connecticut, Storrs, 06269, USA]","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I140172145"],"apc_list":null,"apc_paid":null,"fwci":0.3744,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66437468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6678","issue":null,"first_page":"3018","last_page":"3023"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9991000294685364,"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":0.9991000294685364,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9797999858856201,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/activity-recognition","display_name":"Activity recognition","score":0.8129589557647705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7077432870864868},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6238572001457214},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.6017683744430542},{"id":"https://openalex.org/keywords/finite-state-machine","display_name":"Finite-state machine","score":0.594199001789093},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5661525130271912},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.5366233587265015},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49274757504463196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4717959761619568},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.43722784519195557},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.42043226957321167},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2103942334651947}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.8129589557647705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7077432870864868},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6238572001457214},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.6017683744430542},{"id":"https://openalex.org/C167822520","wikidata":"https://www.wikidata.org/wiki/Q176452","display_name":"Finite-state machine","level":2,"score":0.594199001789093},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5661525130271912},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.5366233587265015},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49274757504463196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4717959761619568},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.43722784519195557},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.42043226957321167},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2103942334651947},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2015.7139613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2015.7139613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Automation (ICRA)","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":32,"referenced_works":["https://openalex.org/W1551782597","https://openalex.org/W1588594383","https://openalex.org/W1647671624","https://openalex.org/W1973221871","https://openalex.org/W2017634428","https://openalex.org/W2061179798","https://openalex.org/W2068006147","https://openalex.org/W2076552240","https://openalex.org/W2098043650","https://openalex.org/W2099111195","https://openalex.org/W2103388129","https://openalex.org/W2105046342","https://openalex.org/W2115615578","https://openalex.org/W2116820941","https://openalex.org/W2117811484","https://openalex.org/W2122092249","https://openalex.org/W2136882434","https://openalex.org/W2144836231","https://openalex.org/W2145824466","https://openalex.org/W2152852787","https://openalex.org/W2157091296","https://openalex.org/W2170104027","https://openalex.org/W2207642662","https://openalex.org/W2210387432","https://openalex.org/W2540822603","https://openalex.org/W4235651166","https://openalex.org/W4298335083","https://openalex.org/W6635219794","https://openalex.org/W6636915900","https://openalex.org/W6681556551","https://openalex.org/W6684649441","https://openalex.org/W6728817311"],"related_works":["https://openalex.org/W103069296","https://openalex.org/W4242459863","https://openalex.org/W127357700","https://openalex.org/W1480528870","https://openalex.org/W2508541108","https://openalex.org/W4243191745","https://openalex.org/W2724597727","https://openalex.org/W2315419748","https://openalex.org/W1029445510","https://openalex.org/W2072177288"],"abstract_inverted_index":{"Human":[0],"activity":[1,44,56,93],"recognition":[2,57],"has":[3],"become":[4],"an":[5],"increasingly":[6],"important":[7],"field":[8],"of":[9,24,36,61,90,149],"research":[10],"with":[11,144],"many":[12],"practical":[13],"applications":[14],"related":[15],"to":[16,54,71,135,141],"health":[17],"care":[18],"and":[19,42,81,94,122,138],"leisure":[20],"activities.":[21],"The":[22,84],"accessibility":[23],"inexpensive":[25],"portable":[26],"sensors,":[27],"such":[28,74],"as":[29,75],"accelerometers,":[30],"allows":[31],"for":[32,39],"a":[33,49,91,100,145],"widespread":[34],"use":[35],"this":[37],"technology":[38],"both":[40],"commercial":[41],"personal":[43],"recognition.":[45],"This":[46,131],"paper":[47],"develops":[48],"novel":[50],"feature":[51],"extraction":[52],"approach":[53],"human":[55],"through":[58],"the":[59,62,87,107,113,119],"development":[60],"Lempel-Ziv-Welch":[63],"Coded":[64],"Probabilistic":[65],"Finite":[66],"State":[67],"Automata":[68],"(LZW-Coded":[69],"PFSA)":[70],"classify":[72,95],"activities":[73],"walking,":[76],"jumping,":[77],"running,":[78],"waist":[79],"rotations,":[80],"shoulder":[82],"rotations.":[83],"PFSA":[85,111],"reveal":[86],"underlying":[88],"architecture":[89],"given":[92],"it":[96,124],"without":[97],"making":[98],"any":[99],"priori":[101],"assumptions":[102],"by":[103],"inferring":[104],"patterns":[105],"from":[106,118],"sensor":[108],"measurements.":[109],"LZW-Coded":[110],"select":[112],"optimal":[114],"variable":[115],"length":[116],"state":[117,127],"time-series":[120],"data":[121],"compress":[123],"into":[125],"class-separable":[126],"transition":[128],"matrices":[129],"\u03c0.":[130],"algorithm":[132],"is":[133,139],"robust":[134],"subject":[136],"biases":[137],"shown":[140],"be":[142],"effective":[143],"correct":[146],"classification":[147],"rate":[148],"95.63%.":[150]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
