{"id":"https://openalex.org/W2579731505","doi":"https://doi.org/10.1109/bibm.2016.7822633","title":"How to record the amount of exercise automatically? A general real-time recognition and counting approach for repetitive activities","display_name":"How to record the amount of exercise automatically? A general real-time recognition and counting approach for repetitive activities","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2579731505","doi":"https://doi.org/10.1109/bibm.2016.7822633","mag":"2579731505"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2016.7822633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2016.7822633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5101822148","display_name":"Shugang Zhang","orcid":"https://orcid.org/0000-0002-9774-9709"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shugang Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680995","display_name":"Zhen Li","orcid":"https://orcid.org/0000-0001-5093-4221"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Li","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058652390","display_name":"Jie Nie","orcid":"https://orcid.org/0000-0003-4952-7666"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Nie","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060800563","display_name":"Lei Huang","orcid":"https://orcid.org/0000-0001-7060-7391"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Huang","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375587","display_name":"Shuang Wang","orcid":"https://orcid.org/0000-0002-6779-9537"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079932099","display_name":"Zhiqiang Wei","orcid":"https://orcid.org/0000-0002-2830-8301"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Wei","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101822148"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.16560659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"44","issue":null,"first_page":"831","last_page":"834"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9829000234603882,"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/T10352","display_name":"Physical Activity and Health","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7644071578979492},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.7520084381103516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7001649141311646},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.6736505627632141},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6136860847473145},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5627146363258362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5030452609062195},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4504455626010895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39376696944236755},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3895002603530884},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.385478138923645},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23217341303825378},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.10024258494377136},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09478852152824402}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7644071578979492},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.7520084381103516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7001649141311646},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.6736505627632141},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6136860847473145},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5627146363258362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5030452609062195},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4504455626010895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39376696944236755},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3895002603530884},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.385478138923645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23217341303825378},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.10024258494377136},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09478852152824402},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2016.7822633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2016.7822633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1976831311","https://openalex.org/W2017634428","https://openalex.org/W2030299181","https://openalex.org/W2037861815","https://openalex.org/W2054780155","https://openalex.org/W2076552240","https://openalex.org/W2101688810","https://openalex.org/W2153635508","https://openalex.org/W2169854179","https://openalex.org/W2170724010","https://openalex.org/W2182081065","https://openalex.org/W2535242787","https://openalex.org/W2545134894","https://openalex.org/W6675286942","https://openalex.org/W6685900664","https://openalex.org/W6729206109"],"related_works":["https://openalex.org/W2356006086","https://openalex.org/W1973973903","https://openalex.org/W2545168295","https://openalex.org/W2365897603","https://openalex.org/W4234814094","https://openalex.org/W2156308897","https://openalex.org/W4303613760","https://openalex.org/W2361871310","https://openalex.org/W2417246878","https://openalex.org/W1982154684"],"abstract_inverted_index":{"Exercise":[0],"is":[1,22,79,82,107,131],"considered":[2],"as":[3],"an":[4],"effective":[5],"mean":[6],"against":[7],"overweight":[8],"and":[9,19,37],"obesity-related":[10],"diseases.":[11],"In":[12,62],"this":[13],"paper,":[14],"a":[15,31,71],"real-time":[16],"activity":[17,73,119],"recognition":[18],"counting":[20,74,129],"approach":[21,130],"proposed":[23,80,97],"to":[24,42,53,64],"evaluate":[25],"amount":[26],"of":[27,68,87],"exercise":[28,57,118],"only":[29],"using":[30,95],"wearable":[32],"smart":[33],"watch.":[34],"First,":[35],"accelerometer":[36],"gyroscope":[38,78],"data":[39],"are":[40,51,113],"collected":[41],"extract":[43],"efficient":[44,114],"features.":[45],"Then":[46],"Support":[47],"Vector":[48],"Machine":[49],"classifiers":[50],"trained":[52],"recognize":[54],"nine":[55],"common":[56],"activities":[58,90],"in":[59],"real":[60,116],"time.":[61],"order":[63],"measure":[65],"the":[66,96,110,138],"frequency":[67],"repetitive":[69],"activity,":[70],"general":[72,98],"algorithm":[75],"based":[76],"on":[77,137],"which":[81],"applicable":[83],"for":[84,115],"different":[85],"types":[86],"activity.":[88],"Various":[89],"can":[91],"be":[92],"counted":[93],"uninterruptedly":[94],"method":[99],"without":[100],"frequently":[101],"changing":[102],"algorithms.":[103],"Through":[104],"experiments,":[105],"it":[106],"demonstrated":[108],"that":[109,127],"extracted":[111],"features":[112],"time":[117],"recognition.":[120],"Moreover,":[121],"our":[122,128],"comparative":[123],"experiments":[124],"have":[125],"shown":[126],"more":[132],"accurate":[133],"than":[134],"other":[135],"products":[136],"market.":[139]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}