{"id":"https://openalex.org/W2804848393","doi":"https://doi.org/10.1145/3193025.3193036","title":"Classification of User Movement Data","display_name":"Classification of User Movement Data","publication_year":2018,"publication_date":"2018-02-25","ids":{"openalex":"https://openalex.org/W2804848393","doi":"https://doi.org/10.1145/3193025.3193036","mag":"2804848393"},"language":"en","primary_location":{"id":"doi:10.1145/3193025.3193036","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3193025.3193036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Digital Signal Processing","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/A5051642041","display_name":"Pablo Arias","orcid":"https://orcid.org/0000-0002-4868-120X"},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pablo Arias","raw_affiliation_strings":["Department of Computer Science, North Carolina Agricultural & Technical State University, Greensboro, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina Agricultural & Technical State University, Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109376234","display_name":"Christopher M. Kelley","orcid":null},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Kelley","raw_affiliation_strings":["Department of Computer Science, North Carolina Agricultural & Technical State University, Greensboro, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina Agricultural & Technical State University, Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019287592","display_name":"Janelle Mason","orcid":null},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Janelle Mason","raw_affiliation_strings":["Department of Computer Science, North Carolina Agricultural & Technical State University, Greensboro, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina Agricultural & Technical State University, Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066861581","display_name":"Kelvin Bryant","orcid":null},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kelvin Bryant","raw_affiliation_strings":["Department of Computer Science, North Carolina Agricultural & Technical State University, Greensboro, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina Agricultural & Technical State University, Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015792060","display_name":"Kaushik Roy","orcid":"https://orcid.org/0000-0002-3360-7576"},"institutions":[{"id":"https://openalex.org/I35777872","display_name":"North Carolina Agricultural and Technical State University","ror":"https://ror.org/02aze4h65","country_code":"US","type":"education","lineage":["https://openalex.org/I35777872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaushik Roy","raw_affiliation_strings":["Department of Computer Science, North Carolina Agricultural & Technical State University, Greensboro, NC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, North Carolina Agricultural & Technical State University, Greensboro, NC, USA","institution_ids":["https://openalex.org/I35777872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051642041"],"corresponding_institution_ids":["https://openalex.org/I35777872"],"apc_list":null,"apc_paid":null,"fwci":0.5448,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63592855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"156","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9994999766349792,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976999759674072,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9958000183105469,"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/computer-science","display_name":"Computer science","score":0.8462083339691162},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7866801023483276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7269686460494995},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7167288661003113},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6481539011001587},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5006206035614014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43548649549484253},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.4235081076622009},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4161595106124878},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3821137547492981}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8462083339691162},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7866801023483276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7269686460494995},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7167288661003113},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6481539011001587},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5006206035614014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43548649549484253},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.4235081076622009},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4161595106124878},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3821137547492981},{"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:10.1145/3193025.3193036","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3193025.3193036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Digital Signal Processing","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":21,"referenced_works":["https://openalex.org/W178227285","https://openalex.org/W1516653016","https://openalex.org/W1897503383","https://openalex.org/W1974821667","https://openalex.org/W1977543168","https://openalex.org/W1978628828","https://openalex.org/W2038790378","https://openalex.org/W2068723942","https://openalex.org/W2070381776","https://openalex.org/W2093957690","https://openalex.org/W2101234009","https://openalex.org/W2106846067","https://openalex.org/W2134524950","https://openalex.org/W2144354855","https://openalex.org/W2400777838","https://openalex.org/W2403411777","https://openalex.org/W2565421035","https://openalex.org/W2997591727","https://openalex.org/W4248506240","https://openalex.org/W6603697666","https://openalex.org/W6730267373"],"related_works":["https://openalex.org/W4225394202","https://openalex.org/W4298287631","https://openalex.org/W2953061907","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3008584592","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,21,101],"comprehensive":[4],"analysis":[5],"of":[6,104,112],"various":[7],"classification":[8],"techniques":[9,99],"is":[10],"used":[11,18],"on":[12,92],"user":[13],"movement":[14],"data.":[15],"The":[16,31,54,78],"dataset":[17],"here":[19],"utilizes":[20],"Nexus":[22],"One":[23],"Android":[24],"smartphone,":[25],"equipped":[26],"with":[27,63],"accelerometer":[28],"sensor":[29],"devices.":[30],"data":[32],"was":[33],"transformed":[34],"and":[35,46,59,72],"applied":[36,94],"to":[37],"two":[38],"deep":[39,83,97],"learning":[40,84,98],"techniques:":[41],"Convolutional":[42],"Neural":[43,51,75],"Network":[44,52,76],"(CNN)":[45],"Long":[47],"Short":[48],"Term":[49],"Memory-Recurrent":[50],"(LSTM-RNN).":[53],"results":[55,79],"obtained":[56,109],"via":[57],"CNN":[58],"LSTM-RNN":[60],"are":[61],"compared":[62],"the":[64,82,89,93],"traditional":[65,90],"classifiers":[66,91],"such":[67],"as":[68],"k-Nearest":[69],"Neighbors":[70],"(k-NN)":[71],"Feed":[73],"Forward":[74],"(FFNN).":[77],"show":[80],"that":[81],"approaches":[85],"were":[86],"outperformed":[87],"by":[88],"dataset.":[95],"While":[96],"reached":[100],"maximum":[102],"accuracy":[103,111],"84%":[105],"utilizing":[106],"LSTM,":[107],"k-NN":[108],"an":[110],"99.6%.":[113]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}