{"id":"https://openalex.org/W2767764176","doi":"https://doi.org/10.1109/bhi.2018.8333368","title":"Learning a physical activity classifier for a low-power embedded wrist-located device","display_name":"Learning a physical activity classifier for a low-power embedded wrist-located device","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2767764176","doi":"https://doi.org/10.1109/bhi.2018.8333368","mag":"2767764176"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2018.8333368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2018.8333368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE EMBS International Conference on Biomedical &amp; Health Informatics (BHI)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1711.02387","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015631143","display_name":"Ricard Delgado-Gonzalo","orcid":"https://orcid.org/0000-0002-7183-6257"},"institutions":[{"id":"https://openalex.org/I135218257","display_name":"Swiss Center for Electronics and Microtechnology (Switzerland)","ror":"https://ror.org/05nrrsx06","country_code":"CH","type":"company","lineage":["https://openalex.org/I135218257"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Ricard Delgado-Gonzalo","raw_affiliation_strings":["Swiss Center for Electronics and Microtechnology (CSEM), Neuch\u00e2tel, Switzerland"],"affiliations":[{"raw_affiliation_string":"Swiss Center for Electronics and Microtechnology (CSEM), Neuch\u00e2tel, Switzerland","institution_ids":["https://openalex.org/I135218257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073441650","display_name":"Philippe Renevey","orcid":null},"institutions":[{"id":"https://openalex.org/I135218257","display_name":"Swiss Center for Electronics and Microtechnology (Switzerland)","ror":"https://ror.org/05nrrsx06","country_code":"CH","type":"company","lineage":["https://openalex.org/I135218257"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Philippe Renevey","raw_affiliation_strings":["Swiss Center for Electronics and Microtechnology (CSEM), Neuch\u00e2tel, Switzerland"],"affiliations":[{"raw_affiliation_string":"Swiss Center for Electronics and Microtechnology (CSEM), Neuch\u00e2tel, Switzerland","institution_ids":["https://openalex.org/I135218257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069013630","display_name":"Adrian Tarniceriu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adrian Tarniceriu","raw_affiliation_strings":["PulseOn SA, Neuch\u00e2tel, Switzerland"],"affiliations":[{"raw_affiliation_string":"PulseOn SA, Neuch\u00e2tel, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071139446","display_name":"Jakub Par\u00e1k","orcid":"https://orcid.org/0000-0002-4617-4992"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jakub Parak","raw_affiliation_strings":["PulseOn Oy, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"PulseOn Oy, Espoo, Finland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056905221","display_name":"Mattia Bertschi","orcid":null},"institutions":[{"id":"https://openalex.org/I135218257","display_name":"Swiss Center for Electronics and Microtechnology (Switzerland)","ror":"https://ror.org/05nrrsx06","country_code":"CH","type":"company","lineage":["https://openalex.org/I135218257"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Mattia Bertschi","raw_affiliation_strings":["Swiss Center for Electronics and Microtechnology (CSEM), Neuch\u00e2tel, Switzerland"],"affiliations":[{"raw_affiliation_string":"Swiss Center for Electronics and Microtechnology (CSEM), Neuch\u00e2tel, Switzerland","institution_ids":["https://openalex.org/I135218257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015631143"],"corresponding_institution_ids":["https://openalex.org/I135218257"],"apc_list":null,"apc_paid":null,"fwci":0.3191,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60270735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9987999796867371,"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":0.9987999796867371,"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/T12238","display_name":"Green IT and Sustainability","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9778000116348267,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6729005575180054},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6695519685745239},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6446949243545532},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.5657413601875305},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5110288858413696},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.4663578271865845},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4556170105934143},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43254974484443665},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.4177921712398529},{"id":"https://openalex.org/keywords/power-demand","display_name":"Power demand","score":0.4112378656864166},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3341473340988159},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.30054447054862976},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.19730594754219055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6729005575180054},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6695519685745239},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6446949243545532},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.5657413601875305},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5110288858413696},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.4663578271865845},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4556170105934143},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43254974484443665},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.4177921712398529},{"id":"https://openalex.org/C2983317576","wikidata":"https://www.wikidata.org/wiki/Q1853339","display_name":"Power demand","level":4,"score":0.4112378656864166},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3341473340988159},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.30054447054862976},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.19730594754219055},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bhi.2018.8333368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2018.8333368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE EMBS International Conference on Biomedical &amp; Health Informatics (BHI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1711.02387","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.02387","pdf_url":"https://arxiv.org/pdf/1711.02387","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1711.02387","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.02387","pdf_url":"https://arxiv.org/pdf/1711.02387","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1982434105","https://openalex.org/W2045028464","https://openalex.org/W2052785686","https://openalex.org/W2127127580","https://openalex.org/W2148217011","https://openalex.org/W2294692650","https://openalex.org/W2539083675"],"related_works":["https://openalex.org/W1816461854","https://openalex.org/W2004591297","https://openalex.org/W2776409113","https://openalex.org/W3187939022","https://openalex.org/W2091858233","https://openalex.org/W2089997255","https://openalex.org/W2156573693","https://openalex.org/W2590119245","https://openalex.org/W2291698372","https://openalex.org/W1623551104"],"abstract_inverted_index":{"This":[0],"article":[1],"presents":[2],"and":[3,28,38,71,77,79,104],"evaluates":[4],"a":[5,10,15,44,94],"novel":[6],"algorithm":[7],"for":[8,14,25,64],"learning":[9],"physical":[11],"activity":[12],"classifier":[13],"low-power":[16,35],"embedded":[17],"wrist-located":[18],"device.":[19],"The":[20,60],"overall":[21],"system":[22,98],"is":[23,30],"designed":[24],"real-time":[26],"execution":[27],"it":[29,80],"implemented":[31],"in":[32,99],"the":[33,65,97],"commercial":[34],"System-on-Chips":[36],"nRF51":[37],"nRF52.":[39],"Results":[40],"were":[41],"obtained":[42],"using":[43],"database":[45],"composed":[46],"of":[47,55,74,96,101],"140":[48],"users":[49],"containing":[50],"more":[51],"than":[52],"340":[53],"hours":[54],"labeled":[56],"raw":[57],"acceleration":[58],"data.":[59],"final":[61],"precision":[62],"achieved":[63],"most":[66],"important":[67],"classes,":[68],"(Rest,":[69],"Walk,":[70],"Run),":[72],"was":[73],"96%,":[75],"94%,":[76],"99%":[78],"generalizes":[81],"to":[82],"compound":[83],"activities":[84],"such":[85],"as":[86],"XC":[87],"skiing":[88],"or":[89],"Housework.":[90],"We":[91],"conclude":[92],"with":[93],"benchmarking":[95],"terms":[100],"memory":[102],"footprint":[103],"power":[105],"consumption.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
