{"id":"https://openalex.org/W2975457053","doi":"https://doi.org/10.1145/3347122.3347126","title":"Information Augmentation for Human Activity Recognition and Fall Detection using Empirical Mode Decomposition on Smartphone Data","display_name":"Information Augmentation for Human Activity Recognition and Fall Detection using Empirical Mode Decomposition on Smartphone Data","publication_year":2019,"publication_date":"2019-09-25","ids":{"openalex":"https://openalex.org/W2975457053","doi":"https://doi.org/10.1145/3347122.3347126","mag":"2975457053"},"language":"en","primary_location":{"id":"doi:10.1145/3347122.3347126","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3347122.3347126","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Movement and Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11511/31865","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017402882","display_name":"Sel\u00e7uk Sezer","orcid":null},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Sel\u00e7uk Sezer","raw_affiliation_strings":["Graduate School of Informatics, Middle East Technical University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026887700","display_name":"Elif S\u00fcrer","orcid":"https://orcid.org/0000-0002-0738-6669"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Elif Surer","raw_affiliation_strings":["Graduate School of Informatics, Middle East Technical University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017402882"],"corresponding_institution_ids":["https://openalex.org/I201799495"],"apc_list":null,"apc_paid":null,"fwci":0.4891,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.62503602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9986000061035156,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9986000061035156,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9921000003814697,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7080651521682739},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.5905066728591919},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.558834433555603},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5049496293067932},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4729956090450287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3828766942024231},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3339502215385437},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.326526403427124},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3185758590698242}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7080651521682739},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.5905066728591919},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.558834433555603},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5049496293067932},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4729956090450287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3828766942024231},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3339502215385437},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.326526403427124},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3185758590698242},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3347122.3347126","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3347122.3347126","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th International Conference on Movement and Computing","raw_type":"proceedings-article"},{"id":"pmh:oai:open.metu.edu.tr:11511/31865","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/31865","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:open.metu.edu.tr:11511/31865","is_oa":true,"landing_page_url":"https://hdl.handle.net/11511/31865","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W2007221293","https://openalex.org/W2054242744","https://openalex.org/W2088202114","https://openalex.org/W2107558893","https://openalex.org/W2120390927","https://openalex.org/W2153061909","https://openalex.org/W2161714144","https://openalex.org/W2319522456","https://openalex.org/W2387306914","https://openalex.org/W2558720333","https://openalex.org/W2736191430","https://openalex.org/W2756159660","https://openalex.org/W2789868604","https://openalex.org/W2903862608"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2081563414","https://openalex.org/W2363056446","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2076661204","https://openalex.org/W2380939102","https://openalex.org/W2089603224","https://openalex.org/W2329112433","https://openalex.org/W1991001811"],"abstract_inverted_index":{"In":[0,95],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,40,170],"novel":[6],"design":[7,133],"to":[8,33,72,97,158],"reduce":[9],"the":[10,35,49,56,64,67,92,104,137,152,160,182],"number":[11,50],"of":[12,51,162],"sensors":[13,52,164],"used":[14,109,168],"in":[15,169,185],"activity":[16,187],"recognition":[17,188],"and":[18,70,83,166,178],"fall":[19],"detection":[20],"by":[21,54,146],"using":[22,148],"empirical":[23],"mode":[24,86],"decomposition":[25],"(EMD)":[26],"along":[27],"with":[28],"gravity":[29,81],"filtering":[30],"so":[31],"as":[32],"untangle":[34],"useful":[36],"information":[37,57],"gathered":[38],"from":[39,59,91],"single":[41],"sensor,":[42],"i.e.":[43,112],"accelerometer.":[44],"We":[45],"focus":[46],"on":[47,75,136],"reducing":[48],"utilized":[53],"augmenting":[55],"obtained":[58],"accelerometer":[60,65,93,149],"only":[61,147],"given":[62],"that":[63,145],"is":[66,134,156],"most":[68],"common":[69],"easy":[71],"access":[73],"sensor":[74],"smartphones.":[76],"To":[77],"do":[78],"so,":[79],"one":[80],"component":[82,102],"three":[84],"intrinsic":[85],"functions":[87],"(IMFs)":[88],"are":[89,107,121],"extracted":[90,118],"signal.":[94],"order":[96],"assess":[98],"how":[99],"informative":[100],"each":[101],"is,":[103],"raw":[105],"components":[106,120],"directly":[108],"for":[110,181],"classification,":[111],"without":[113],"hand-crafting":[114],"statistical":[115],"features.":[116],"The":[117,131,142],"signal":[119],"then":[122],"individually":[123],"fed":[124],"into":[125],"parallelized":[126],"random":[127],"forest":[128],"(RF)":[129],"classifiers.":[130],"proposed":[132,153],"evaluated":[135],"publicly":[138],"available":[139],"MobiAct":[140],"dataset.":[141],"results":[143],"show":[144],"data":[150],"within":[151],"scheme,":[154],"it":[155],"possible":[157],"reach":[159],"performance":[161],"two":[163],"(accelerometer":[165],"gyroscope)":[167],"conventional":[171],"manner.":[172],"This":[173],"study":[174],"provides":[175],"an":[176],"efficient":[177],"convenient-to-use":[179],"solution":[180],"smartphone":[183],"applications":[184],"human":[186],"domain.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}