Fall Classification by Machine Learning Using Mobile Phones
Events
Loading … Spinner

Mendeley | Further Information

{"title"=>"Fall classification by machine learning using mobile phones", "type"=>"journal", "authors"=>[{"first_name"=>"Mark V.", "last_name"=>"Albert", "scopus_author_id"=>"42461049200"}, {"first_name"=>"Konrad", "last_name"=>"Kording", "scopus_author_id"=>"6603812799"}, {"first_name"=>"Megan", "last_name"=>"Herrmann", "scopus_author_id"=>"55208607400"}, {"first_name"=>"Arun", "last_name"=>"Jayaraman", "scopus_author_id"=>"13609725600"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84860629106", "pmid"=>"22586477", "scopus"=>"2-s2.0-84860629106", "issn"=>"19326203", "pui"=>"364751074", "doi"=>"10.1371/journal.pone.0036556"}, "id"=>"e15335a9-b949-3829-a036-d60ccc897ebf", "abstract"=>"Fall prevention is a critical component of health care; falls are a common source of injury in the elderly and are associated with significant levels of mortality and morbidity. Automatically detecting falls can allow rapid response to potential emergencies; in addition, knowing the cause or manner of a fall can be beneficial for prevention studies or a more tailored emergency response. The purpose of this study is to demonstrate techniques to not only reliably detect a fall but also to automatically classify the type. We asked 15 subjects to simulate four different types of falls-left and right lateral, forward trips, and backward slips-while wearing mobile phones and previously validated, dedicated accelerometers. Nine subjects also wore the devices for ten days, to provide data for comparison with the simulated falls. We applied five machine learning classifiers to a large time-series feature set to detect falls. Support vector machines and regularized logistic regression were able to identify a fall with 98% accuracy and classify the type of fall with 99% accuracy. This work demonstrates how current machine learning approaches can simplify data collection for prevention in fall-related research as well as improve rapid response to potential injuries due to falls.", "link"=>"http://www.mendeley.com/research/fall-classification-machine-learning-using-mobile-phones-3", "reader_count"=>98, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>5, "Student > Doctoral Student"=>5, "Researcher"=>18, "Student > Ph. D. Student"=>29, "Student > Postgraduate"=>3, "Student > Master"=>19, "Other"=>4, "Student > Bachelor"=>10, "Lecturer > Senior Lecturer"=>2, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>5, "Student > Doctoral Student"=>5, "Researcher"=>18, "Student > Ph. D. Student"=>29, "Student > Postgraduate"=>3, "Student > Master"=>19, "Other"=>4, "Student > Bachelor"=>10, "Lecturer > Senior Lecturer"=>2, "Professor"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>22, "Unspecified"=>5, "Environmental Science"=>1, "Nursing and Health Professions"=>3, "Biochemistry, Genetics and Molecular Biology"=>1, "Medicine and Dentistry"=>7, "Agricultural and Biological Sciences"=>6, "Physics and Astronomy"=>1, "Psychology"=>1, "Computer Science"=>51}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>22}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>6}, "Computer Science"=>{"Computer Science"=>51}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>3}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>5}, "Environmental Science"=>{"Environmental Science"=>1}}, "reader_count_by_country"=>{"United States"=>1, "Japan"=>1, "Brazil"=>1, "United Kingdom"=>2, "Australia"=>1, "Kenya"=>1, "Portugal"=>1, "Switzerland"=>2, "Germany"=>2, "Spain"=>1}, "group_count"=>10}

CrossRef

Scopus | Further Information

{"@_fa"=>"true", "link"=>[{"@_fa"=>"true", "@ref"=>"self", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84860629106"}, {"@_fa"=>"true", "@ref"=>"author-affiliation", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84860629106?field=author,affiliation"}, {"@_fa"=>"true", "@ref"=>"scopus", "@href"=>"https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84860629106&origin=inward"}, {"@_fa"=>"true", "@ref"=>"scopus-citedby", "@href"=>"https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84860629106&origin=inward"}], "prism:url"=>"https://api.elsevier.com/content/abstract/scopus_id/84860629106", "dc:identifier"=>"SCOPUS_ID:84860629106", "eid"=>"2-s2.0-84860629106", "dc:title"=>"Fall classification by machine learning using mobile phones", "dc:creator"=>"Albert M.", "prism:publicationName"=>"PLoS ONE", "prism:eIssn"=>"19326203", "prism:volume"=>"7", "prism:issueIdentifier"=>"5", "prism:pageRange"=>nil, "prism:coverDate"=>"2012-05-07", "prism:coverDisplayDate"=>"7 May 2012", "prism:doi"=>"10.1371/journal.pone.0036556", "citedby-count"=>"128", "affiliation"=>[{"@_fa"=>"true", "affilname"=>"Northwestern University", "affiliation-city"=>"Evanston", "affiliation-country"=>"United States"}, {"@_fa"=>"true", "affilname"=>"Rehabilitation Institute of Chicago", "affiliation-city"=>"Chicago", "affiliation-country"=>"United States"}], "pubmed-id"=>"22586477", "prism:aggregationType"=>"Journal", "subtype"=>"ar", "subtypeDescription"=>"Article", "article-number"=>"e36556", "source-id"=>"10600153309", "openaccess"=>"1", "openaccessFlag"=>true}

Facebook

  • {"url"=>"http%3A%2F%2Fjournals.plos.org%2Fplosone%2Farticle%3Fid%3D10.1371%252Fjournal.pone.0036556", "share_count"=>0, "like_count"=>0, "comment_count"=>0, "click_count"=>0, "total_count"=>0}

Counter

  • {"month"=>"5", "year"=>"2012", "pdf_views"=>"84", "xml_views"=>"8", "html_views"=>"691"}
  • {"month"=>"6", "year"=>"2012", "pdf_views"=>"35", "xml_views"=>"4", "html_views"=>"187"}
  • {"month"=>"7", "year"=>"2012", "pdf_views"=>"22", "xml_views"=>"1", "html_views"=>"132"}
  • {"month"=>"8", "year"=>"2012", "pdf_views"=>"20", "xml_views"=>"6", "html_views"=>"120"}
  • {"month"=>"9", "year"=>"2012", "pdf_views"=>"25", "xml_views"=>"0", "html_views"=>"131"}
  • {"month"=>"10", "year"=>"2012", "pdf_views"=>"34", "xml_views"=>"0", "html_views"=>"172"}
  • {"month"=>"11", "year"=>"2012", "pdf_views"=>"23", "xml_views"=>"1", "html_views"=>"148"}
  • {"month"=>"12", "year"=>"2012", "pdf_views"=>"12", "xml_views"=>"0", "html_views"=>"109"}
  • {"month"=>"1", "year"=>"2013", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"104"}
  • {"month"=>"2", "year"=>"2013", "pdf_views"=>"10", "xml_views"=>"1", "html_views"=>"106"}
  • {"month"=>"3", "year"=>"2013", "pdf_views"=>"13", "xml_views"=>"3", "html_views"=>"129"}
  • {"month"=>"4", "year"=>"2013", "pdf_views"=>"6", "xml_views"=>"1", "html_views"=>"81"}
  • {"month"=>"5", "year"=>"2013", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"105"}
  • {"month"=>"6", "year"=>"2013", "pdf_views"=>"12", "xml_views"=>"0", "html_views"=>"100"}
  • {"month"=>"7", "year"=>"2013", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"81"}
  • {"month"=>"8", "year"=>"2013", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"60"}
  • {"month"=>"9", "year"=>"2013", "pdf_views"=>"9", "xml_views"=>"0", "html_views"=>"77"}
  • {"month"=>"10", "year"=>"2013", "pdf_views"=>"29", "xml_views"=>"2", "html_views"=>"137"}
  • {"month"=>"11", "year"=>"2013", "pdf_views"=>"25", "xml_views"=>"0", "html_views"=>"101"}
  • {"month"=>"12", "year"=>"2013", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"84"}
  • {"month"=>"1", "year"=>"2014", "pdf_views"=>"18", "xml_views"=>"0", "html_views"=>"88"}
  • {"month"=>"2", "year"=>"2014", "pdf_views"=>"15", "xml_views"=>"0", "html_views"=>"77"}
  • {"month"=>"3", "year"=>"2014", "pdf_views"=>"15", "xml_views"=>"3", "html_views"=>"134"}
  • {"month"=>"4", "year"=>"2014", "pdf_views"=>"8", "xml_views"=>"1", "html_views"=>"103"}
  • {"month"=>"5", "year"=>"2014", "pdf_views"=>"17", "xml_views"=>"0", "html_views"=>"78"}
  • {"month"=>"6", "year"=>"2014", "pdf_views"=>"12", "xml_views"=>"0", "html_views"=>"64"}
  • {"month"=>"7", "year"=>"2014", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"62"}
  • {"month"=>"8", "year"=>"2014", "pdf_views"=>"12", "xml_views"=>"3", "html_views"=>"69"}
  • {"month"=>"9", "year"=>"2014", "pdf_views"=>"12", "xml_views"=>"1", "html_views"=>"78"}
  • {"month"=>"10", "year"=>"2014", "pdf_views"=>"34", "xml_views"=>"1", "html_views"=>"149"}
  • {"month"=>"11", "year"=>"2014", "pdf_views"=>"38", "xml_views"=>"2", "html_views"=>"234"}
  • {"month"=>"12", "year"=>"2014", "pdf_views"=>"11", "xml_views"=>"1", "html_views"=>"143"}
  • {"month"=>"1", "year"=>"2015", "pdf_views"=>"13", "xml_views"=>"1", "html_views"=>"112"}
  • {"month"=>"2", "year"=>"2015", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"93"}
  • {"month"=>"3", "year"=>"2015", "pdf_views"=>"31", "xml_views"=>"0", "html_views"=>"115"}
  • {"month"=>"4", "year"=>"2015", "pdf_views"=>"15", "xml_views"=>"1", "html_views"=>"97"}
  • {"month"=>"5", "year"=>"2015", "pdf_views"=>"16", "xml_views"=>"0", "html_views"=>"101"}
  • {"month"=>"6", "year"=>"2015", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"74"}
  • {"month"=>"7", "year"=>"2015", "pdf_views"=>"19", "xml_views"=>"0", "html_views"=>"70"}
  • {"month"=>"8", "year"=>"2015", "pdf_views"=>"8", "xml_views"=>"2", "html_views"=>"63"}
  • {"month"=>"9", "year"=>"2015", "pdf_views"=>"15", "xml_views"=>"1", "html_views"=>"61"}
  • {"month"=>"10", "year"=>"2015", "pdf_views"=>"21", "xml_views"=>"0", "html_views"=>"88"}
  • {"month"=>"11", "year"=>"2015", "pdf_views"=>"15", "xml_views"=>"0", "html_views"=>"69"}
  • {"month"=>"12", "year"=>"2015", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"60"}
  • {"month"=>"1", "year"=>"2016", "pdf_views"=>"17", "xml_views"=>"0", "html_views"=>"77"}
  • {"month"=>"2", "year"=>"2016", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"85"}
  • {"month"=>"3", "year"=>"2016", "pdf_views"=>"24", "xml_views"=>"0", "html_views"=>"105"}
  • {"month"=>"4", "year"=>"2016", "pdf_views"=>"27", "xml_views"=>"0", "html_views"=>"87"}
  • {"month"=>"5", "year"=>"2016", "pdf_views"=>"26", "xml_views"=>"0", "html_views"=>"87"}
  • {"month"=>"6", "year"=>"2016", "pdf_views"=>"27", "xml_views"=>"0", "html_views"=>"78"}
  • {"month"=>"7", "year"=>"2016", "pdf_views"=>"29", "xml_views"=>"0", "html_views"=>"73"}
  • {"month"=>"8", "year"=>"2016", "pdf_views"=>"22", "xml_views"=>"0", "html_views"=>"68"}
  • {"month"=>"9", "year"=>"2016", "pdf_views"=>"30", "xml_views"=>"0", "html_views"=>"116"}
  • {"month"=>"10", "year"=>"2016", "pdf_views"=>"40", "xml_views"=>"0", "html_views"=>"83"}
  • {"month"=>"11", "year"=>"2016", "pdf_views"=>"19", "xml_views"=>"0", "html_views"=>"89"}
  • {"month"=>"12", "year"=>"2016", "pdf_views"=>"19", "xml_views"=>"1", "html_views"=>"63"}
  • {"month"=>"1", "year"=>"2017", "pdf_views"=>"25", "xml_views"=>"1", "html_views"=>"78"}
  • {"month"=>"2", "year"=>"2017", "pdf_views"=>"26", "xml_views"=>"1", "html_views"=>"157"}
  • {"month"=>"3", "year"=>"2017", "pdf_views"=>"34", "xml_views"=>"2", "html_views"=>"153"}
  • {"month"=>"4", "year"=>"2017", "pdf_views"=>"25", "xml_views"=>"0", "html_views"=>"161"}
  • {"month"=>"5", "year"=>"2017", "pdf_views"=>"33", "xml_views"=>"0", "html_views"=>"140"}
  • {"month"=>"6", "year"=>"2017", "pdf_views"=>"24", "xml_views"=>"0", "html_views"=>"122"}
  • {"month"=>"7", "year"=>"2017", "pdf_views"=>"16", "xml_views"=>"1", "html_views"=>"86"}
  • {"month"=>"8", "year"=>"2017", "pdf_views"=>"14", "xml_views"=>"2", "html_views"=>"118"}
  • {"month"=>"9", "year"=>"2017", "pdf_views"=>"30", "xml_views"=>"1", "html_views"=>"182"}
  • {"month"=>"10", "year"=>"2017", "pdf_views"=>"31", "xml_views"=>"3", "html_views"=>"197"}
  • {"month"=>"11", "year"=>"2017", "pdf_views"=>"37", "xml_views"=>"0", "html_views"=>"224"}
  • {"month"=>"12", "year"=>"2017", "pdf_views"=>"33", "xml_views"=>"2", "html_views"=>"166"}
  • {"month"=>"1", "year"=>"2018", "pdf_views"=>"42", "xml_views"=>"0", "html_views"=>"159"}
  • {"month"=>"2", "year"=>"2018", "pdf_views"=>"36", "xml_views"=>"1", "html_views"=>"112"}
  • {"month"=>"3", "year"=>"2018", "pdf_views"=>"30", "xml_views"=>"1", "html_views"=>"104"}
  • {"month"=>"4", "year"=>"2018", "pdf_views"=>"30", "xml_views"=>"0", "html_views"=>"82"}
  • {"month"=>"5", "year"=>"2018", "pdf_views"=>"19", "xml_views"=>"1", "html_views"=>"104"}
  • {"month"=>"6", "year"=>"2018", "pdf_views"=>"35", "xml_views"=>"2", "html_views"=>"88"}
  • {"month"=>"7", "year"=>"2018", "pdf_views"=>"29", "xml_views"=>"3", "html_views"=>"90"}
  • {"month"=>"8", "year"=>"2018", "pdf_views"=>"17", "xml_views"=>"1", "html_views"=>"56"}
  • {"month"=>"9", "year"=>"2018", "pdf_views"=>"50", "xml_views"=>"0", "html_views"=>"90"}
  • {"month"=>"10", "year"=>"2018", "pdf_views"=>"22", "xml_views"=>"1", "html_views"=>"115"}
  • {"month"=>"11", "year"=>"2018", "pdf_views"=>"40", "xml_views"=>"0", "html_views"=>"83"}
  • {"month"=>"12", "year"=>"2018", "pdf_views"=>"33", "xml_views"=>"1", "html_views"=>"70"}
  • {"month"=>"1", "year"=>"2019", "pdf_views"=>"14", "xml_views"=>"2", "html_views"=>"80"}
  • {"month"=>"2", "year"=>"2019", "pdf_views"=>"29", "xml_views"=>"0", "html_views"=>"72"}
  • {"month"=>"3", "year"=>"2019", "pdf_views"=>"50", "xml_views"=>"2", "html_views"=>"135"}
  • {"month"=>"4", "year"=>"2019", "pdf_views"=>"29", "xml_views"=>"0", "html_views"=>"79"}
  • {"month"=>"5", "year"=>"2019", "pdf_views"=>"30", "xml_views"=>"1", "html_views"=>"86"}
  • {"month"=>"6", "year"=>"2019", "pdf_views"=>"30", "xml_views"=>"1", "html_views"=>"77"}
  • {"month"=>"7", "year"=>"2019", "pdf_views"=>"35", "xml_views"=>"1", "html_views"=>"72"}
  • {"month"=>"8", "year"=>"2019", "pdf_views"=>"30", "xml_views"=>"2", "html_views"=>"67"}
  • {"month"=>"9", "year"=>"2019", "pdf_views"=>"18", "xml_views"=>"1", "html_views"=>"89"}
  • {"month"=>"10", "year"=>"2019", "pdf_views"=>"37", "xml_views"=>"0", "html_views"=>"112"}
  • {"month"=>"11", "year"=>"2019", "pdf_views"=>"28", "xml_views"=>"2", "html_views"=>"89"}
  • {"month"=>"12", "year"=>"2019", "pdf_views"=>"47", "xml_views"=>"0", "html_views"=>"67"}
  • {"month"=>"1", "year"=>"2020", "pdf_views"=>"15", "xml_views"=>"0", "html_views"=>"54"}
  • {"month"=>"2", "year"=>"2020", "pdf_views"=>"18", "xml_views"=>"3", "html_views"=>"46"}
  • {"month"=>"3", "year"=>"2020", "pdf_views"=>"14", "xml_views"=>"0", "html_views"=>"28"}
  • {"month"=>"4", "year"=>"2020", "pdf_views"=>"21", "xml_views"=>"1", "html_views"=>"26"}
  • {"month"=>"5", "year"=>"2020", "pdf_views"=>"17", "xml_views"=>"2", "html_views"=>"18"}
  • {"month"=>"6", "year"=>"2020", "pdf_views"=>"9", "xml_views"=>"1", "html_views"=>"35"}
  • {"month"=>"7", "year"=>"2020", "pdf_views"=>"25", "xml_views"=>"0", "html_views"=>"35"}
  • {"month"=>"8", "year"=>"2020", "pdf_views"=>"26", "xml_views"=>"4", "html_views"=>"67"}
  • {"month"=>"9", "year"=>"2020", "pdf_views"=>"36", "xml_views"=>"0", "html_views"=>"54"}
  • {"month"=>"10", "year"=>"2020", "pdf_views"=>"48", "xml_views"=>"1", "html_views"=>"54"}
  • {"month"=>"11", "year"=>"2020", "pdf_views"=>"35", "xml_views"=>"1", "html_views"=>"55"}

Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/641884"], "description"=>"<p>The most accurate classifier is indicated in bold.</p>", "links"=>[], "tags"=>["detection", "classification", "pooled", "10-fold", "crossvalidation", "subject-wise"], "article_id"=>312372, "categories"=>["Information And Computing Sciences", "Medicine", "Biotechnology"], "users"=>["Mark V. Albert", "Konrad Kording", "Megan Herrmann", "Arun Jayaraman"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036556.g004", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Classification_accuracy_for_fall_detection_and_classification_of_fall_type_for_both_pooled_data_using_10_fold_crossvalidation_and_subject_wise_crossvalidation_/312372", "title"=>"Classification accuracy for fall detection and classification of fall type for both pooled data using 10-fold crossvalidation and subject-wise crossvalidation.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 05:29:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/641941"], "description"=>"<p>Features extracted from tri-axial accelerometer readings.</p>", "links"=>[], "tags"=>["extracted", "tri-axial", "accelerometer"], "article_id"=>312430, "categories"=>["Information And Computing Sciences", "Medicine", "Biotechnology"], "users"=>["Mark V. Albert", "Konrad Kording", "Megan Herrmann", "Arun Jayaraman"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036556.t001", "stats"=>{"downloads"=>2, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Features_extracted_from_tri_axial_accelerometer_readings_/312430", "title"=>"Features extracted from tri-axial accelerometer readings.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 05:29:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/641711"], "description"=>"<p>A) Falls of the four different types, arranged by direction of the fall as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0036556#pone-0036556-g001\" target=\"_blank\">fig 1a</a>. B) Events that had relatively large changes in acceleration, and were extracted for comparison to simulated falls in the detection task.</p>", "links"=>[], "tags"=>["simulated", "falls"], "article_id"=>312204, "categories"=>["Information And Computing Sciences", "Medicine", "Biotechnology"], "users"=>["Mark V. Albert", "Konrad Kording", "Megan Herrmann", "Arun Jayaraman"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036556.g002", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Example_simulated_falls_and_8220_fall_like_8221_events_/312204", "title"=>"Example simulated falls and “fall-like” events.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 05:28:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/641659"], "description"=>"<p>A) The four different types of simulated falls in this paper, positioned according to direction of the fall. B) The G1 android mobile phone that was used for recording, and the placement of the phone on the back of subjects. C) The axes of the tri-axis accelerometer relative to the images in B – xyz as red, green, blue, respectively. The phone was placed on the back of the subject so that the three axes pointed up, left, and to the back of the subject.</p>", "links"=>[], "tags"=>["falls", "axes"], "article_id"=>312145, "categories"=>["Information And Computing Sciences", "Medicine", "Biotechnology"], "users"=>["Mark V. Albert", "Konrad Kording", "Megan Herrmann", "Arun Jayaraman"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036556.g001", "stats"=>{"downloads"=>3, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Types_of_falls_measured_and_axes_of_measurement_/312145", "title"=>"Types of falls measured, and axes of measurement.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 05:27:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/641788"], "description"=>"<p>Fall classification results when the task is to distinguish the type of simulated fall (A,B). Fall detection for distinguishing falls vs. high-impact “fall-like” events extracted from week-long recordings (C,D). Crossvalidation results are with all subject data pooled together (A,C) or subject-wise crossvalidated (B,D).</p>", "links"=>[], "tags"=>["detection", "classification", "vector", "machines", "extracted", "accelerometer"], "article_id"=>312274, "categories"=>["Information And Computing Sciences", "Medicine", "Biotechnology"], "users"=>["Mark V. Albert", "Konrad Kording", "Megan Herrmann", "Arun Jayaraman"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0036556.g003", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Crossvalidation_results_for_detection_and_classification_using_Support_Vector_Machines_SVM_s_on_features_extracted_from_the_phone_accelerometer_recordings_/312274", "title"=>"Crossvalidation results for detection and classification using Support Vector Machines (SVM's) on features extracted from the phone accelerometer recordings.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 05:28:39"}

PMC Usage Stats | Further Information

  • {"scanned-page-browse"=>"0", "month"=>"5", "cited-by"=>"0", "abstract"=>"0", "full-text"=>"70", "unique-ip"=>"59", "pdf"=>"6", "year"=>"2012", "figure"=>"4", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"month"=>"6", "scanned-page-browse"=>"0", "cited-by"=>"0", "abstract"=>"0", "full-text"=>"52", "year"=>"2012", "pdf"=>"9", "unique-ip"=>"44", "figure"=>"4", "scanned-summary"=>"0", "supp-data"=>"0"}
  • {"unique-ip"=>"14", "full-text"=>"14", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2012", "month"=>"7"}
  • {"unique-ip"=>"12", "full-text"=>"12", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2012", "month"=>"8"}
  • {"unique-ip"=>"19", "full-text"=>"23", "pdf"=>"8", "abstract"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2012", "month"=>"9"}
  • {"unique-ip"=>"24", "full-text"=>"22", "pdf"=>"9", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2012", "month"=>"10"}
  • {"unique-ip"=>"12", "full-text"=>"9", "pdf"=>"9", "abstract"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2012", "month"=>"12"}
  • {"unique-ip"=>"15", "full-text"=>"17", "pdf"=>"5", "abstract"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"1"}
  • {"unique-ip"=>"15", "full-text"=>"13", "pdf"=>"13", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"3"}
  • {"unique-ip"=>"19", "full-text"=>"16", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"2"}
  • {"unique-ip"=>"11", "full-text"=>"10", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"4"}
  • {"unique-ip"=>"26", "full-text"=>"24", "pdf"=>"11", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2012", "month"=>"11"}
  • {"unique-ip"=>"6", "full-text"=>"5", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"5"}
  • {"unique-ip"=>"13", "full-text"=>"13", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"6"}
  • {"unique-ip"=>"11", "full-text"=>"8", "pdf"=>"2", "abstract"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"7"}
  • {"unique-ip"=>"9", "full-text"=>"11", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"8"}
  • {"unique-ip"=>"12", "full-text"=>"14", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"9"}
  • {"unique-ip"=>"11", "full-text"=>"11", "pdf"=>"4", "abstract"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"10"}
  • {"unique-ip"=>"9", "full-text"=>"7", "pdf"=>"3", "abstract"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"11"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2013", "month"=>"12"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"1"}
  • {"unique-ip"=>"7", "full-text"=>"6", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"2"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"3"}
  • {"unique-ip"=>"12", "full-text"=>"13", "pdf"=>"8", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"5"}
  • {"unique-ip"=>"10", "full-text"=>"8", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"6"}
  • {"unique-ip"=>"9", "full-text"=>"8", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"4"}
  • {"unique-ip"=>"12", "full-text"=>"13", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"10", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"4"}
  • {"unique-ip"=>"19", "full-text"=>"21", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"5"}
  • {"unique-ip"=>"25", "full-text"=>"28", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2015", "month"=>"6"}
  • {"unique-ip"=>"14", "full-text"=>"16", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"7"}
  • {"unique-ip"=>"13", "full-text"=>"14", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"3"}
  • {"unique-ip"=>"13", "full-text"=>"14", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"2"}
  • {"unique-ip"=>"11", "full-text"=>"11", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"8"}
  • {"unique-ip"=>"22", "full-text"=>"20", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
  • {"unique-ip"=>"12", "full-text"=>"13", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"6", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"7"}
  • {"unique-ip"=>"8", "full-text"=>"6", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"8"}
  • {"unique-ip"=>"16", "full-text"=>"14", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"9"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"10"}
  • {"unique-ip"=>"14", "full-text"=>"13", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"10", "full-text"=>"13", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"11"}
  • {"unique-ip"=>"9", "full-text"=>"8", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2014", "month"=>"12"}
  • {"unique-ip"=>"11", "full-text"=>"9", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"1"}
  • {"unique-ip"=>"18", "full-text"=>"33", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"3", "year"=>"2015", "month"=>"11"}
  • {"unique-ip"=>"6", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"9", "full-text"=>"10", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
  • {"unique-ip"=>"15", "full-text"=>"13", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"11", "full-text"=>"7", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"unique-ip"=>"7", "full-text"=>"6", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
  • {"unique-ip"=>"4", "full-text"=>"3", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"7"}
  • {"unique-ip"=>"8", "full-text"=>"7", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
  • {"unique-ip"=>"9", "full-text"=>"10", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
  • {"unique-ip"=>"16", "full-text"=>"16", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
  • {"unique-ip"=>"9", "full-text"=>"10", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"11"}
  • {"unique-ip"=>"16", "full-text"=>"17", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"9", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"19", "full-text"=>"19", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2017", "month"=>"1"}
  • {"unique-ip"=>"9", "full-text"=>"11", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"unique-ip"=>"11", "full-text"=>"12", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
  • {"unique-ip"=>"15", "full-text"=>"15", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
  • {"unique-ip"=>"24", "full-text"=>"16", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"9", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"10", "full-text"=>"9", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"7"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
  • {"unique-ip"=>"21", "full-text"=>"29", "pdf"=>"5", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"12", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"9"}
  • {"unique-ip"=>"20", "full-text"=>"18", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"12", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"16", "full-text"=>"11", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
  • {"unique-ip"=>"7", "full-text"=>"5", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
  • {"unique-ip"=>"15", "full-text"=>"20", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
  • {"unique-ip"=>"26", "full-text"=>"27", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
  • {"unique-ip"=>"13", "full-text"=>"14", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
  • {"unique-ip"=>"11", "full-text"=>"12", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"unique-ip"=>"25", "full-text"=>"31", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"4", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
  • {"unique-ip"=>"15", "full-text"=>"16", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
  • {"unique-ip"=>"15", "full-text"=>"19", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"17", "full-text"=>"17", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
  • {"unique-ip"=>"13", "full-text"=>"14", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"12", "full-text"=>"9", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"12", "full-text"=>"16", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"11", "full-text"=>"11", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"18", "full-text"=>"21", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"15", "full-text"=>"15", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"23", "full-text"=>"23", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"33", "full-text"=>"27", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"15", "full-text"=>"18", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"21", "full-text"=>"24", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"32", "full-text"=>"39", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}
  • {"unique-ip"=>"11", "full-text"=>"12", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"12"}
  • {"unique-ip"=>"48", "full-text"=>"64", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"2"}
  • {"unique-ip"=>"47", "full-text"=>"53", "pdf"=>"8", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"3"}
  • {"unique-ip"=>"31", "full-text"=>"37", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"4"}
  • {"unique-ip"=>"35", "full-text"=>"42", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"8", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2020", "month"=>"5"}
  • {"unique-ip"=>"32", "full-text"=>"31", "pdf"=>"12", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"6"}
  • {"unique-ip"=>"20", "full-text"=>"29", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"7"}
  • {"unique-ip"=>"9", "full-text"=>"11", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"8"}
  • {"unique-ip"=>"22", "full-text"=>"21", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}
  • {"unique-ip"=>"19", "full-text"=>"20", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2020", "month"=>"10"}

Relative Metric

{"start_date"=>"2012-01-01T00:00:00Z", "end_date"=>"2012-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Biology and life sciences", "average_usage"=>[322, 550, 671, 773, 864, 955, 1048, 1135, 1223, 1308, 1387, 1465, 1534, 1602, 1673, 1744, 1813, 1885, 1955, 2026, 2093, 2160, 2228, 2290, 2349]}, {"subject_area"=>"/Computer and information sciences", "average_usage"=>[352, 587, 696, 809, 901, 989, 1072, 1156, 1257, 1334, 1422, 1486, 1555, 1647, 1714, 1780, 1844, 1919, 1997, 2051, 2138, 2198, 2267, 2324, 2391]}, {"subject_area"=>"/Engineering and technology", "average_usage"=>[308, 500, 607, 700, 782, 876, 957, 1039, 1128, 1214, 1290, 1365, 1431, 1496, 1560, 1634, 1695, 1772, 1839, 1908, 1972, 2043, 2106, 2179, 2246]}, {"subject_area"=>"/Medicine and health sciences", "average_usage"=>[312, 547, 668, 769, 861, 953, 1046, 1135, 1224, 1307, 1388, 1464, 1536, 1606, 1676, 1744, 1812, 1882, 1954, 2020, 2089, 2155, 2218, 2282, 2344]}, {"subject_area"=>"/People and places", "average_usage"=>[330, 562, 680, 783, 875, 964, 1062, 1152, 1240, 1327, 1406, 1483, 1561, 1632, 1701, 1770, 1849, 1922, 1993, 2059, 2131, 2197, 2271, 2335, 2403]}, {"subject_area"=>"/People and places/Population groupings", "average_usage"=>[325, 565, 687, 787, 880, 971, 1065, 1156, 1244, 1339, 1424, 1502, 1582, 1654, 1724, 1794, 1855, 1925, 1997, 2058, 2132, 2207, 2285, 2347, 2412]}, {"subject_area"=>"/Physical sciences/Mathematics", "average_usage"=>[325, 522, 627, 718, 804, 884, 969, 1052, 1131, 1207, 1277, 1346, 1415, 1478, 1542, 1605, 1663, 1723, 1776, 1839, 1895, 1955, 2008, 2066, 2123]}]}
Loading … Spinner
There are currently no alerts