{"id":"https://openalex.org/W4393671388","doi":"https://doi.org/10.5281/zenodo.8300972","title":"ScientISST MOVE: Annotated Multimodal Naturalistic Dataset Recorded During Everyday Life Activities Using Wearable Devices","display_name":"ScientISST MOVE: Annotated Multimodal Naturalistic Dataset Recorded During Everyday Life Activities Using Wearable Devices","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4393671388","doi":"https://doi.org/10.5281/zenodo.8300972"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.8300972","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8300972","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.8300972","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049579849","display_name":"Jo\u00e3o Areias Saraiva","orcid":"https://orcid.org/0000-0003-3715-0304"},"institutions":[{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Areias Saraiva, Jo\u00e3o","raw_affiliation_strings":["Instituto Superior T\u00e9cnico"],"raw_orcid":"https://orcid.org/0000-0003-3715-0304","affiliations":[{"raw_affiliation_string":"Instituto Superior T\u00e9cnico","institution_ids":["https://openalex.org/I4387152517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036020324","display_name":"Mariana Abreu","orcid":"https://orcid.org/0000-0002-9340-6610"},"institutions":[{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Abreu, Mariana","raw_affiliation_strings":["Instituto Superior T\u00e9cnico"],"raw_orcid":"https://orcid.org/0000-0002-9340-6610","affiliations":[{"raw_affiliation_string":"Instituto Superior T\u00e9cnico","institution_ids":["https://openalex.org/I4387152517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035757981","display_name":"Ana Sofia Carmo","orcid":"https://orcid.org/0000-0001-7954-3718"},"institutions":[{"id":"https://openalex.org/I4387152517","display_name":"Instituto Superior T\u00e9cnico","ror":"https://ror.org/03db2by73","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103","https://openalex.org/I4387152517"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Carmo, Ana Sofia","raw_affiliation_strings":["Instituto Superior T\u00e9cnico"],"raw_orcid":"https://orcid.org/0000-0001-7954-3718","affiliations":[{"raw_affiliation_string":"Instituto Superior T\u00e9cnico","institution_ids":["https://openalex.org/I4387152517"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084063480","display_name":"Hugo Silva","orcid":"https://orcid.org/0000-0001-6764-8432"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Pl\u00e1cido da Silva, Hugo","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es"],"raw_orcid":"https://orcid.org/0000-0001-6764-8432","affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es","institution_ids":["https://openalex.org/I4210120471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029045681","display_name":"Ana Fred","orcid":"https://orcid.org/0000-0003-1320-5024"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Fred, Ana","raw_affiliation_strings":["Instituto de Telecomunica\u00e7\u00f5es"],"raw_orcid":"https://orcid.org/0000-0003-1320-5024","affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica\u00e7\u00f5es","institution_ids":["https://openalex.org/I4210120471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.6729999780654907,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.6729999780654907,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10803","display_name":"Innovative Human-Technology Interaction","score":0.6608999967575073,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.6359000205993652,"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/wearable-computer","display_name":"Wearable computer","score":0.7503896951675415},{"id":"https://openalex.org/keywords/everyday-life","display_name":"Everyday life","score":0.6283272504806519},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5820280313491821},{"id":"https://openalex.org/keywords/naturalism","display_name":"Naturalism","score":0.5105570554733276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5028061866760254},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4407809376716614},{"id":"https://openalex.org/keywords/naturalistic-observation","display_name":"Naturalistic observation","score":0.41043779253959656},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.27081117033958435},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.07229122519493103},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.04965829849243164}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.7503896951675415},{"id":"https://openalex.org/C2779018934","wikidata":"https://www.wikidata.org/wiki/Q1129653","display_name":"Everyday life","level":2,"score":0.6283272504806519},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5820280313491821},{"id":"https://openalex.org/C43236755","wikidata":"https://www.wikidata.org/wiki/Q56000","display_name":"Naturalism","level":2,"score":0.5105570554733276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5028061866760254},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4407809376716614},{"id":"https://openalex.org/C167699689","wikidata":"https://www.wikidata.org/wiki/Q1521337","display_name":"Naturalistic observation","level":2,"score":0.41043779253959656},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.27081117033958435},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.07229122519493103},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.04965829849243164},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.8300972","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8300972","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.8300972","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8300972","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"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/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W4247363578","https://openalex.org/W2943851981","https://openalex.org/W2566526749","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644"],"abstract_inverted_index":{"A":[0,176],"multi-modality,":[1],"multi-activity,":[2],"and":[3,27,54,122,163,245,270,318,542,563,567,603,656],"multi-subject":[4],"dataset":[5],"of":[6,126,158,179,266,285,491,539,551,607,631],"wearable":[7],"biosignals.":[8],"<strong>Modalities:</strong>":[9],"ECG,":[10],"EMG,":[11],"EDA,":[12],"PPG,":[13],"ACC,":[14],"TEMP":[15],"<strong>Main":[16],"Activities:</strong>":[17],"Lift":[18],"object,":[19],"Greet":[20],"people,":[21],"Gesticulate":[22],"while":[23],"talking,":[24],"Jumping,":[25],"Walking,":[26],"Running":[28],"<strong>Cohort:":[29],"</strong>17":[30],"subjects":[31],"(10":[32],"male,":[33],"7":[34],"female);":[35],"median":[36],"age:":[37],"24":[38],"<strong>Devices:":[39],"</strong>2x":[40],"ScientISST":[41],"Core":[42],"+":[43],"1x":[44],"Empatica":[45],"E4":[46],"<strong>Body":[47],"Locations:":[48],"</strong>Chest,":[49],"Abdomen,":[50],"Left":[51],"bicep,":[52],"wrist":[53],"index":[55,172],"finger":[56],"No":[57],"filter":[58],"has":[59],"been":[60],"applied":[61],"to":[62,195,377,399,682,688,706],"the":[63,66,73,106,109,119,127,141,149,153,159,171,180,222,231,253,258,267,271,276,283,307,324,332,355,368,388,404,427,436,444,465,472,475,488,503,528,533,543,552,587,590,600,608,618,626,632,684,694,708],"signals,":[64],"but":[65,443],"correct":[67],"transfer":[68],"functions":[69],"were":[70,397],"applied,":[71],"so":[72],"data":[74,566,569],"is":[75,113,118,124,155,230,235,256,263,299,335,370,411,498,523,594,599,605,628,645],"given":[76,295,425],"in":[77,257,264,275,328,487,652,686,698],"relevant":[78],"unis":[79],"(mV,":[80],"uS,":[81],"g,":[82],"\u00baC).":[83],"========":[84],"There":[85,234],"are":[86,274,282,352,357,365,406,440,446,513,638,642,651,659],"three":[87],"formats":[88],"available:":[89],"<strong>a)":[90],"LTBio's":[91],"Biosignal":[92,190,530,655],"files.":[93,204,574],"Should":[94],"be":[95,167,184,192,206,219,431,469,576,665],"open":[96,207,577],"like:</strong>":[97,208,578],"<pre><code":[98,209,579],"class=\"language-python\">x":[99,210,580],"=":[100,211,581],"Biosignal.load(path)</code></pre>":[101],"LTBio":[102,555],"Package:":[103,214,584],"https://pypi.org/project/LongTermBiosignals/":[104],"Under":[105,586],"directory":[107,223,588],"biosignal,":[108],"following":[110,128,476,591,609],"tree":[111,592],"structure":[112,593],"found:":[114,595],"subject/x.biosignal,":[115],"where":[116,228,597],"subject":[117,229,598],"subject\u2019s":[120,232,601],"code,":[121,602],"x":[123,604],"any":[125,294,606],"{":[129,610],"acc_chest,":[130],"acc_wrist,":[131],"ecg,":[132],"eda,":[133],"emg,":[134],"ppg,":[135],"temp":[136],"}.":[137,614],"Each":[138,495,615],"file":[139,154,238,616,627],"includes":[140,617],"signals":[142,181,619,663],"recorded":[143,620],"from":[144,621],"every":[145,414,622],"sensor":[146,262,419,457],"that":[147,312,348,373,451],"acquires":[148],"modality":[150],"after":[151,453,624],"which":[152,314,492,522,625],"named,":[156,629],"independently":[157,630],"device.":[160],"Channels,":[161],"activities":[162],"time":[164,254,561],"intervals":[165],"can":[166,182,191,218,664],"easily":[168,193],"indexed":[169],"with":[170,382,384,390,430,438],"operator":[173],"[]:":[174],"https://ltbio.readthedocs.io/en/latest/learn/basic/ltbio101.html":[175],"sneak":[177],"peak":[178],"also":[183,447,524],"quickly":[185,666],"plotted":[186,667],"with:":[187,668],"<em>x.preview.plot()</em>":[188],"Any":[189],"converted":[194],"NumPy":[196],"arrays":[197],"or":[198,337,474],"DataFrames,":[199],"if":[200,288,297,341],"needed.":[201],"<strong>b)":[202],"CSV":[203],"Can":[205,575],"pandas.read_csv(path)</code></pre>":[212],"Pandas":[213],"https://pypi.org/project/pandas/":[215],"These":[216],"files":[217,558],"found":[220],"under":[221],"csv,":[224],"named":[225],"as":[226,251,570,701,704],"subject.csv,":[227],"code.":[233],"only":[236,435,527],"one":[237,265,336],"per":[239],"subject,":[240],"containing":[241],"their":[242],"full":[243],"session":[244],"all":[246,520,540],"biosignal":[247],"modalities.":[248],"When":[249],"read":[250],"tables,":[252],"axis":[255],"first":[259,466],"column,":[260,334],"each":[261,280,286,291,329],"middle":[268],"columns,":[269],"activity":[272,339,343],"labels":[273,356],"last":[277,333],"column.":[278],"In":[279,375],"row":[281,413],"samples":[284,439,541],"sensor,":[287,304,313],"any,":[289],"at":[290,347,423,460],"timestamp.":[292,349,374],"At":[293,677],"timestamp,":[296,426,464,477],"there":[298,351,364,410],"no":[300,366,499,514],"sample":[301,467],"for":[302,311,320,372,519],"a":[303,379,412,418,424,456,461],"it":[305],"means":[306,450],"acquisition":[308],"was":[309,344,420],"interrupted":[310],"happens":[315],"between":[316],"activities,":[317,553],"sometimes":[319],"short":[321],"periods":[322],"during":[323,647],"running":[325],"activity.":[326],"Also":[327],"row,":[330],"on":[331,471],"more":[338],"labels,":[340],"an":[342,454],"taking":[345],"place":[346],"If":[350,363,417],"multiple":[353],"annotations,":[354,367],"separated":[358],"by":[359,478],"commas":[360],"(e.g":[361],"'run,sprint').":[362],"column":[369],"empty":[371],"order":[376,687],"provide":[378],"tabular":[380],"format":[381,531],"sensors":[383,389],"different":[385],"sampling":[386,391,504,545,636],"frequencies,":[387],"frequency":[392],"lower":[393],"than":[394,501,516],"500":[395,400],"Hz":[396],"upsampled":[398],"Hz.":[401],"This":[402,449],"way,":[403],"tables":[405],"regularly":[407,441],"sampled,":[408,442],"i.e.,":[409],"2":[415],"ms.":[416],"not":[421,434,660],"acquiring":[422,459],"corresponding":[428],"cell":[429],"empty.":[432],"So,":[433],"segments":[437],"interruptions":[445],"discretised.":[448],"if,":[452],"interruption,":[455],"starts":[458],"non":[462],"regular":[463],"will":[468],"written":[470],"previous":[473],"half-up":[479],"rounding.":[480],"Naturally,":[481],"this":[482],"process":[483],"cumulatively":[484],"introduces":[485],"lags":[486,512],"table,":[489],"some":[490],"cancel":[493],"out.":[494],"individual":[496],"lag":[497],"longer":[500,515],"half":[502],"period":[505],"(1":[506],"ms),":[507],"hence":[508],"negligible.":[509,525],"The":[510,662],"cumulative":[511],"200":[517],"ms":[518],"subjects,":[521],"Nevertheless,":[526],"LBio's":[529],"preserves":[532],"exact":[534],"original":[535,544],"timestamps":[536],"(10E-6":[537],"precision)":[538],"frequencies.":[546],"================":[547],"Both":[548],"include":[549,564],"annotations":[550],"however":[554],"bio":[556],"signal":[557],"have":[559,673,681],"better":[560],"resolution":[562],"clinical":[565],"demographic":[568],"well.":[571],"<strong>c)":[572],"EDF+":[573],"mne.io.read_raw_edf(path)</code></pre>":[582],"MNE":[583],"https://mne.tools/stable/index.html":[585],"edf,":[589],"subject/x.edf,":[596],"empathic,":[611],"scientisst_chest,":[612],"scientisst_forearm":[613],"device":[623],"modality.":[633],"Notes:":[634],"Original":[635,640],"frequencies":[637],"maintained.":[639,643,661],"units":[641],"Signal":[644],"NaN":[646],"recording":[648],"interruptions.":[649],"Events":[650],"EDF":[653],"annotations.":[654],"patient":[657],"notes":[658],"<em>x.plot()</em>.":[669],"Make":[670],"sure":[671],"you":[672,679],"interactive":[674],"Matplotlib":[675],"activated.":[676],"first,":[678],"might":[680],"decrease":[683],"scaling":[685],"correctly":[689],"inspect":[690],"them.":[691],"tip:":[692],"use":[693],"minus":[695],"(-)":[696],"kay":[697],"your":[699],"keyboard":[700],"many":[702],"times":[703],"necessary":[705],"reduce":[707],"scaling.":[709]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2024-04-03T00:00:00"}
