{"id":"https://openalex.org/W2049826924","doi":"https://doi.org/10.1109/embc.2012.6347410","title":"Classification of physical activities based on sparse representation","display_name":"Classification of physical activities based on sparse representation","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2049826924","doi":"https://doi.org/10.1109/embc.2012.6347410","mag":"2049826924","pmid":"https://pubmed.ncbi.nlm.nih.gov/23367345"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2012.6347410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2012.6347410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101724582","display_name":"Shaopeng Liu","orcid":"https://orcid.org/0000-0003-0539-083X"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaopeng Liu","raw_affiliation_strings":["Electromechanical Systems Laboratory, Department of Mechanical Engineering, University of Connecticut, Storrs, CT 06269, USA","Electromechanical Systems Laboratory, Department of Mechanical Engineering, University of Connecticut, Storrs, 06269, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electromechanical Systems Laboratory, Department of Mechanical Engineering, University of Connecticut, Storrs, CT 06269, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"Electromechanical Systems Laboratory, Department of Mechanical Engineering, University of Connecticut, Storrs, 06269, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060566070","display_name":"Robert X. Gao","orcid":"https://orcid.org/0000-0003-3595-3728"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. X. Gao","raw_affiliation_strings":["Electromechanical Systems Laboratory, Department of Mechanical Engineering, University of Connecticut, Storrs, CT, USA","Electromechanical Systems Laboratory, Department of Mechanical Engineering, University of Connecticut, Storrs, 06269, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electromechanical Systems Laboratory, Department of Mechanical Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]},{"raw_affiliation_string":"Electromechanical Systems Laboratory, Department of Mechanical Engineering, University of Connecticut, Storrs, 06269, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065141526","display_name":"Dinesh John","orcid":"https://orcid.org/0009-0002-7095-1023"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. John","raw_affiliation_strings":["Physical Activity and Health Laboratory, Department of Kinesiology, University of Massachusetts, Amherst, MA, USA","Physical Activity and Health Laboratory, Department of Kinesiology, University of Massachusetts Amherst, 01003, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physical Activity and Health Laboratory, Department of Kinesiology, University of Massachusetts, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"Physical Activity and Health Laboratory, Department of Kinesiology, University of Massachusetts Amherst, 01003, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047217922","display_name":"John Staudenmayer","orcid":"https://orcid.org/0000-0002-9589-5729"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Staudenmayer","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA, USA","Department of Mathematics and Statistics, University of Massachusetts Amherst, 01003, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Massachusetts Amherst, 01003, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051024209","display_name":"Patty S. Freedson","orcid":"https://orcid.org/0000-0003-1758-915X"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"P. S. Freedson","raw_affiliation_strings":["Physical Activity and Health Laboratory, Department of Kinesiology, University of Massachusetts, Amherst, MA, USA","Physical Activity and Health Laboratory, Department of Kinesiology, University of Massachusetts Amherst, 01003, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Physical Activity and Health Laboratory, Department of Kinesiology, University of Massachusetts, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]},{"raw_affiliation_string":"Physical Activity and Health Laboratory, Department of Kinesiology, University of Massachusetts Amherst, 01003, USA","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8846,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79695714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2012","issue":null,"first_page":"6200","last_page":"6203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973000288009644,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9950000047683716,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9948999881744385,"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/discriminative-model","display_name":"Discriminative model","score":0.8995108604431152},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7301605939865112},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6990313529968262},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6924726366996765},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6680853366851807},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6239086985588074},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6185428500175476},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5459966659545898},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4891391098499298},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4746696949005127},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3370230495929718}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8995108604431152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7301605939865112},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6990313529968262},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6924726366996765},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6680853366851807},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6239086985588074},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6185428500175476},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5459966659545898},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4891391098499298},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4746696949005127},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3370230495929718},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009043","descriptor_name":"Motor Activity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009043","descriptor_name":"Motor Activity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009043","descriptor_name":"Motor Activity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2012.6347410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2012.6347410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:23367345","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23367345","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1560357403","https://openalex.org/W1587362683","https://openalex.org/W2014915963","https://openalex.org/W2018608640","https://openalex.org/W2050834445","https://openalex.org/W2078204800","https://openalex.org/W2115632542","https://openalex.org/W2129638195","https://openalex.org/W2129812935","https://openalex.org/W2154053567"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W1482209366","https://openalex.org/W2110523656","https://openalex.org/W2510961579","https://openalex.org/W2158177428"],"abstract_inverted_index":{"This":[0,15],"paper":[1],"presents":[2],"a":[3],"new":[4],"classification":[5],"method":[6,16],"for":[7,20,29],"physical":[8],"activity":[9,30],"assessment,":[10],"based":[11],"on":[12,57],"sparse":[13],"representation.":[14],"bypasses":[17],"the":[18,46],"need":[19],"feature":[21],"extraction":[22],"and":[23,32],"selection":[24],"that":[25,44],"is":[26],"typically":[27],"involved":[28],"classification,":[31],"classifies":[33],"activities":[34],"using":[35],"raw":[36],"sensor":[37],"signals":[38],"directly.":[39],"Higher":[40],"discriminative":[41],"power":[42],"than":[43],"from":[45],"conventional":[47],"k-nearest":[48],"neighbor":[49],"algorithm":[50],"has":[51],"been":[52],"demonstrated":[53],"through":[54],"experiments":[55],"performed":[56],"105":[58],"subjects.":[59]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":5},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}