{"id":"https://openalex.org/W2344726709","doi":"https://doi.org/10.5220/0005694002400246","title":"Remote Heart Rate Determination in RGB Data - An Investigation using Independent Component Analysis and Adaptive Filtering","display_name":"Remote Heart Rate Determination in RGB Data - An Investigation using Independent Component Analysis and Adaptive Filtering","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2344726709","doi":"https://doi.org/10.5220/0005694002400246","mag":"2344726709"},"language":"en","primary_location":{"id":"doi:10.5220/0005694002400246","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005694002400246","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005694002400246","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046237871","display_name":"Christian Wiede","orcid":"https://orcid.org/0000-0002-2511-4659"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christian Wiede","raw_affiliation_strings":["Chemnitz University of Technology, Germany"],"affiliations":[{"raw_affiliation_string":"Chemnitz University of Technology, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102021189","display_name":"Julia Richter","orcid":"https://orcid.org/0000-0001-7313-3013"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Julia Richter","raw_affiliation_strings":["Chemnitz University of Technology, Germany"],"affiliations":[{"raw_affiliation_string":"Chemnitz University of Technology, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047971869","display_name":"Andr\u00e9 Apitzsch","orcid":"https://orcid.org/0000-0002-1773-935X"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Apitzsch","raw_affiliation_strings":["Chemnitz University of Technology, Germany"],"affiliations":[{"raw_affiliation_string":"Chemnitz University of Technology, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010296443","display_name":"Fajer Khairaldin","orcid":"https://orcid.org/0009-0002-9597-5232"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Fajer KhairAldin","raw_affiliation_strings":["Chemnitz University of Technology, Germany"],"affiliations":[{"raw_affiliation_string":"Chemnitz University of Technology, Germany","institution_ids":["https://openalex.org/I2610724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056534496","display_name":"Gangolf Hirtz","orcid":"https://orcid.org/0000-0002-4393-5354"},"institutions":[{"id":"https://openalex.org/I2610724","display_name":"Chemnitz University of Technology","ror":"https://ror.org/00a208s56","country_code":"DE","type":"education","lineage":["https://openalex.org/I2610724"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gangolf Hirtz","raw_affiliation_strings":["Chemnitz University of Technology, Germany"],"affiliations":[{"raw_affiliation_string":"Chemnitz University of Technology, Germany","institution_ids":["https://openalex.org/I2610724"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046237871"],"corresponding_institution_ids":["https://openalex.org/I2610724"],"apc_list":null,"apc_paid":null,"fwci":0.6838,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7049342,"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":"240","last_page":"246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9814000129699707,"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":0.9814000129699707,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9508000016212463,"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/computer-science","display_name":"Computer science","score":0.7330635190010071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5897334218025208},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.5736597180366516},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5724653005599976},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5648906826972961},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5414202213287354},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.539872407913208},{"id":"https://openalex.org/keywords/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.5029980540275574},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.458373099565506},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4470670223236084},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.44267579913139343},{"id":"https://openalex.org/keywords/band-pass-filter","display_name":"Band-pass filter","score":0.42914876341819763},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42456039786338806},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.364511102437973},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3291804790496826},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.20069989562034607},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17799526453018188},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13932189345359802},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1184341311454773},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.08931365609169006},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.07642799615859985}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7330635190010071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5897334218025208},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.5736597180366516},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5724653005599976},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5648906826972961},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5414202213287354},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.539872407913208},{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.5029980540275574},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.458373099565506},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4470670223236084},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.44267579913139343},{"id":"https://openalex.org/C147788027","wikidata":"https://www.wikidata.org/wiki/Q2718101","display_name":"Band-pass filter","level":2,"score":0.42914876341819763},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42456039786338806},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.364511102437973},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3291804790496826},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.20069989562034607},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17799526453018188},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13932189345359802},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1184341311454773},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.08931365609169006},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.07642799615859985},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0005694002400246","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005694002400246","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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":{"id":"doi:10.5220/0005694002400246","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005694002400246","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2121429698","https://openalex.org/W2182042810","https://openalex.org/W4252230435","https://openalex.org/W55679925","https://openalex.org/W3080404860","https://openalex.org/W2046761971","https://openalex.org/W3144722888","https://openalex.org/W2364896863","https://openalex.org/W2389189059","https://openalex.org/W4288804231"],"abstract_inverted_index":{"An":[0,115],"emerging":[1],"topic":[2],"in":[3,112],"the":[4,10,19,34,63],"field":[5],"of":[6,14,45,136,143,149],"elderly":[7],"care":[8],"is":[9,48],"determination":[11],"and":[12,81,102,109,123,146],"tracking":[13],"vital":[15,46],"parameters,":[16],"such":[17],"as":[18],"heart":[20,65,125],"rate.":[21],"This":[22,55],"parameter":[23],"provides":[24],"important":[25],"information":[26],"about":[27],"a":[28,58,68,85,133,147],"person\u00e2\u0080\u0099s":[29],"current":[30],"health":[31],"status.":[32],"Within":[33],"last":[35],"years,":[36],"various":[37],"research":[38],"focussed":[39],"on":[40],"this":[41,71,113],"topic.":[42],"The":[43],"recognition":[44],"parameters":[47],"increasingly":[49],"relevant":[50],"for":[51,84],"our":[52,89],"ageing":[53],"society.":[54],"paper":[56],"presents":[57],"method":[59],"to":[60,75,141],"remotely":[61],"determine":[62],"human":[64],"rate":[66,126],"with":[67,117],"camera.":[69],"At":[70],"point,":[72],"we":[73,92,130],"suggest":[74],"use":[76],"independent":[77],"component":[78],"analysis":[79],"(ICA)":[80],"adaptive":[82],"filtering":[83],"robust":[86],"detection.":[87],"In":[88],"processing":[90,96,104],"chain,":[91],"used":[93],"different":[94,124],"image":[95],"techniques,":[97,105],"e.":[98,106],"g.":[99,107],"face":[100],"detection,":[101],"signal":[103],"FFT":[108],"bandpass":[110],"filtering,":[111],"study.":[114],"evaluation":[116],"several":[118],"probands,":[119],"illuminations,":[120],"frame":[121],"rates":[122],"levels":[127],"showed":[128],"that":[129],"could":[131],"achieve":[132],"mean":[134],"error":[135],"4.36":[137],"BPM,":[138],"which":[139],"corresponds":[140],"CAND":[142],"94.45":[144],"%,":[145],"speed":[148],"35":[150],"fps.":[151]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
