{"id":"https://openalex.org/W3085731940","doi":"https://doi.org/10.1145/3410530.3414339","title":"Nurse care activity recognition based on machine learning techniques using accelerometer data","display_name":"Nurse care activity recognition based on machine learning techniques using accelerometer data","publication_year":2020,"publication_date":"2020-09-10","ids":{"openalex":"https://openalex.org/W3085731940","doi":"https://doi.org/10.1145/3410530.3414339","mag":"3085731940"},"language":"en","primary_location":{"id":"doi:10.1145/3410530.3414339","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3410530.3414339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers","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/A5072474310","display_name":"Mohammad Sabik Irbaz","orcid":null},"institutions":[{"id":"https://openalex.org/I59805279","display_name":"Islamic University of Technology","ror":"https://ror.org/057gnqw22","country_code":"BD","type":"education","lineage":["https://openalex.org/I59805279"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Mohammad Sabik Irbaz","raw_affiliation_strings":["Islamic University of Technology, Gazipur, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Islamic University of Technology, Gazipur, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I59805279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059528886","display_name":"Abir Azad","orcid":null},"institutions":[{"id":"https://openalex.org/I59805279","display_name":"Islamic University of Technology","ror":"https://ror.org/057gnqw22","country_code":"BD","type":"education","lineage":["https://openalex.org/I59805279"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Abir Azad","raw_affiliation_strings":["Islamic University of Technology, Gazipur, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Islamic University of Technology, Gazipur, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I59805279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040144609","display_name":"Tanjila Alam Sathi","orcid":"https://orcid.org/0009-0008-6667-5787"},"institutions":[{"id":"https://openalex.org/I59805279","display_name":"Islamic University of Technology","ror":"https://ror.org/057gnqw22","country_code":"BD","type":"education","lineage":["https://openalex.org/I59805279"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Tanjila Alam Sathi","raw_affiliation_strings":["Islamic University of Technology, Gazipur, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Islamic University of Technology, Gazipur, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I59805279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088507130","display_name":"Lutfun Nahar Lota","orcid":null},"institutions":[{"id":"https://openalex.org/I59805279","display_name":"Islamic University of Technology","ror":"https://ror.org/057gnqw22","country_code":"BD","type":"education","lineage":["https://openalex.org/I59805279"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Lutfun Nahar Lota","raw_affiliation_strings":["Islamic University of Technology, Gazipur, Dhaka, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Islamic University of Technology, Gazipur, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I59805279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072474310"],"corresponding_institution_ids":["https://openalex.org/I59805279"],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.49764738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"402","last_page":"407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998000264167786,"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":0.9998000264167786,"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":0.986299991607666,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9732000231742859,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/machine-learning","display_name":"Machine learning","score":0.8011539578437805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8002783060073853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7624889612197876},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7483729720115662},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.7123019099235535},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.705824613571167},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6661344170570374},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6328174471855164},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5331833362579346},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5161412954330444},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45699402689933777},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44671887159347534},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4433026909828186},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4411620497703552},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43651485443115234}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.8011539578437805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8002783060073853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7624889612197876},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7483729720115662},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.7123019099235535},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.705824613571167},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6661344170570374},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6328174471855164},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5331833362579346},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5161412954330444},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45699402689933777},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44671887159347534},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4433026909828186},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4411620497703552},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43651485443115234},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3410530.3414339","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3410530.3414339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W98188630","https://openalex.org/W325178781","https://openalex.org/W1968670561","https://openalex.org/W1979613719","https://openalex.org/W2011846356","https://openalex.org/W2017634428","https://openalex.org/W2105046342","https://openalex.org/W2168538666","https://openalex.org/W2170724010","https://openalex.org/W2243543870","https://openalex.org/W2493560130","https://openalex.org/W2751594996","https://openalex.org/W2767188054","https://openalex.org/W2966450377","https://openalex.org/W2972454934","https://openalex.org/W2972598116","https://openalex.org/W4376525068","https://openalex.org/W6604091132","https://openalex.org/W6963663395"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W4393666307","https://openalex.org/W3210764983","https://openalex.org/W4393443811","https://openalex.org/W2811014843","https://openalex.org/W4367335949","https://openalex.org/W3089416646","https://openalex.org/W4396816114"],"abstract_inverted_index":{"Sensor-based":[0],"human":[1,27],"activity":[2,28,137],"recognition":[3,29,138],"has":[4,22],"become":[5],"one":[6],"of":[7,43,50,58,104],"the":[8,48,56,119],"challenging":[9],"and":[10,82,114],"emerging":[11],"research":[12,33],"areas.":[13],"Several":[14],"machine":[15,52,129],"learning":[16,39,53,63,130],"algorithm":[17],"with":[18,55,85,125,139],"appropriate":[19],"feature":[20,87,127],"extraction":[21,88],"been":[23],"used":[24,74],"to":[25,135],"solve":[26,136],"task.":[30],"However,":[31],"recent":[32],"mainly":[34],"focused":[35],"on":[36],"various":[37],"deep":[38,62],"algorithms,":[40],"our":[41,90],"focus":[42],"this":[44,71],"study":[45],"is":[46],"measuring":[47],"performance":[49,95],"traditional":[51],"algorithms":[54],"incorporation":[57],"frequency-domain":[59],"features.":[60],"Because":[61],"methods":[64],"require":[65],"a":[66,102,140],"high":[67],"computational":[68,142],"cost.":[69,143],"In":[70],"paper,":[72],"we":[73],"Naive":[75],"Bayes,":[76],"K-Nearest":[77,97],"Neighbour,":[78],"SVM,":[79],"Random":[80],"Forest":[81],"Multilayer":[83],"Perceptron":[84],"necessary":[86],"for":[89,96],"experimentation.":[91],"We":[92,122],"achieved":[93],"best":[94],"Neighbour.":[98],"Our":[99],"experiment":[100],"was":[101],"part":[103],"\"The":[105],"2nd":[106],"Nurse":[107],"Care":[108],"Activity":[109],"Recognition":[110],"Challenge":[111],"Using":[112],"Lab":[113],"Field":[115],"Data\"":[116],"followed":[117],"by":[118],"team":[120],"MoonShot_BD.":[121],"concluded":[123],"that":[124],"proper":[126],"extraction,":[128],"techniques":[131],"may":[132],"be":[133],"useful":[134],"low":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
