{"id":"https://openalex.org/W4387350614","doi":"https://doi.org/10.1109/jbhi.2023.3321639","title":"FreqSense: Adaptive Sampling Rates for Sensor-Based Human Activity Recognition Under Tunable Computational Budgets","display_name":"FreqSense: Adaptive Sampling Rates for Sensor-Based Human Activity Recognition Under Tunable Computational Budgets","publication_year":2023,"publication_date":"2023-10-04","ids":{"openalex":"https://openalex.org/W4387350614","doi":"https://doi.org/10.1109/jbhi.2023.3321639","pmid":"https://pubmed.ncbi.nlm.nih.gov/37792660"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2023.3321639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3321639","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-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":null,"display_name":"Guangyu Yang","orcid":"https://orcid.org/0000-0001-8749-7459"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyu Yang","raw_affiliation_strings":["School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China","School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0001-8749-7459","affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-5369-0290"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China","School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-5369-0290","affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009342809","display_name":"Can Bu","orcid":"https://orcid.org/0000-0003-1042-2162"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Can Bu","raw_affiliation_strings":["School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China","School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0003-1042-2162","affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100705806","display_name":"Shuaishuai Wang","orcid":"https://orcid.org/0000-0003-2060-5376"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaishuai Wang","raw_affiliation_strings":["School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China","School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0003-2060-5376","affiliations":[{"raw_affiliation_string":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, China","institution_ids":["https://openalex.org/I152031979"]},{"raw_affiliation_string":"School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005207362","display_name":"Hao Wu","orcid":"https://orcid.org/0000-0002-3696-9281"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["School of Information Science and Engineering, Yunnan University, Kunming, China","School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, China"],"raw_orcid":"https://orcid.org/0000-0002-3696-9281","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"School of Information Science and Engineering, Yunnan University, Kunming, Yunnan, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048327458","display_name":"Aiguo Song","orcid":"https://orcid.org/0000-0002-1982-6780"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiguo Song","raw_affiliation_strings":["Department of Instrument Science and Engineering, Southeast University, Nanjing, China","Department of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-1982-6780","affiliations":[{"raw_affiliation_string":"Department of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Department of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9573,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.77708387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"27","issue":"12","first_page":"5791","last_page":"5802"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9994999766349792,"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":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9448999762535095,"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":0.9377999901771545,"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":0.7971670627593994},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7114036679267883},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6515806913375854},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.6070050001144409},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.583838164806366},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5609954595565796},{"id":"https://openalex.org/keywords/subnetwork","display_name":"Subnetwork","score":0.5404695868492126},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5199712514877319},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.506363034248352},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5016565322875977},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.48800984025001526},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.48231005668640137},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.45562174916267395},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43219608068466187},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.335635781288147},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27391737699508667},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.11046966910362244},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10595864057540894},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08779147267341614},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08386838436126709}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7971670627593994},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7114036679267883},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6515806913375854},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.6070050001144409},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.583838164806366},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5609954595565796},{"id":"https://openalex.org/C2780186347","wikidata":"https://www.wikidata.org/wiki/Q11414","display_name":"Subnetwork","level":2,"score":0.5404695868492126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5199712514877319},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.506363034248352},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5016565322875977},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.48800984025001526},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.48231005668640137},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.45562174916267395},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43219608068466187},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.335635781288147},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27391737699508667},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.11046966910362244},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10595864057540894},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08779147267341614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08386838436126709},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[{"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2023.3321639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2023.3321639","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:37792660","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37792660","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":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G4279245431","display_name":"\u9762\u5411Web API\u6316\u6398\u7684\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u6784\u5efa\u7814\u7a76","funder_award_id":"61962061","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5665768396","display_name":null,"funder_award_id":"BK20191371","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8016481535","display_name":null,"funder_award_id":"62373194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1594875270","https://openalex.org/W1821462560","https://openalex.org/W1857382374","https://openalex.org/W2002261403","https://openalex.org/W2017634428","https://openalex.org/W2026297770","https://openalex.org/W2073401630","https://openalex.org/W2090022737","https://openalex.org/W2169961240","https://openalex.org/W2184944785","https://openalex.org/W2270470215","https://openalex.org/W2288074780","https://openalex.org/W2338565696","https://openalex.org/W2342792048","https://openalex.org/W2495920728","https://openalex.org/W2531409750","https://openalex.org/W2604630936","https://openalex.org/W2616324011","https://openalex.org/W2736191430","https://openalex.org/W2759690896","https://openalex.org/W2883780447","https://openalex.org/W2952517693","https://openalex.org/W2962883549","https://openalex.org/W2963125010","https://openalex.org/W2963446712","https://openalex.org/W2963855167","https://openalex.org/W2963993763","https://openalex.org/W2965144482","https://openalex.org/W2982083293","https://openalex.org/W2982242214","https://openalex.org/W2999803881","https://openalex.org/W3001316388","https://openalex.org/W3008239847","https://openalex.org/W3017361427","https://openalex.org/W3035424951","https://openalex.org/W3044326989","https://openalex.org/W3097297321","https://openalex.org/W3168652588","https://openalex.org/W3173400793","https://openalex.org/W3204647170","https://openalex.org/W4214951654","https://openalex.org/W4286681770","https://openalex.org/W4297775537","https://openalex.org/W6638523607","https://openalex.org/W6673318718","https://openalex.org/W6685060484","https://openalex.org/W6686258256","https://openalex.org/W6696429117","https://openalex.org/W6704286305","https://openalex.org/W6737664043","https://openalex.org/W6753767121","https://openalex.org/W6772938244","https://openalex.org/W6781372415"],"related_works":["https://openalex.org/W2060724872","https://openalex.org/W2082094785","https://openalex.org/W2202198356","https://openalex.org/W3087203342","https://openalex.org/W2377184161","https://openalex.org/W228984114","https://openalex.org/W2090026684","https://openalex.org/W4226360758","https://openalex.org/W2151093953","https://openalex.org/W2907567977"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"witnessed":[3],"great":[4],"success":[5],"of":[6,45,92,181,186],"deep":[7],"convolutional":[8],"networks":[9],"in":[10,117,184],"sensor-based":[11],"human":[12],"activity":[13,62,67,100,147],"recognition":[14],"(HAR),":[15],"yet":[16],"their":[17],"practical":[18],"deployment":[19],"remains":[20],"a":[21,32,42,81,131,141,195],"challenge":[22],"due":[23],"to":[24,30,129],"the":[25,109,114,125,154,179,191],"varying":[26],"computational":[27],"budgets":[28],"required":[29],"obtain":[31],"reliable":[33],"prediction.":[34],"This":[35],"article":[36],"focuses":[37],"on":[38,150,172,194],"adaptive":[39,76],"inference":[40],"from":[41],"novel":[43],"perspective":[44],"signal":[46],"frequency,":[47],"which":[48,157],"is":[49,90,164],"motivated":[50],"by":[51,79,105],"an":[52,75,151],"intuition":[53],"that":[54],"low-frequency":[55],"features":[56],"are":[57,102],"enough":[58,162],"for":[59,145],"recognizing":[60],"\"easy\"":[61,99],"samples,":[63],"while":[64,113],"only":[65],"\"hard\"":[66],"samples":[68,101],"need":[69],"temporally":[70],"detailed":[71],"information.":[72],"We":[73,189],"propose":[74],"resolution":[77,119],"network":[78],"combining":[80],"simple":[82],"subsampling":[83],"strategy":[84],"with":[85,95],"conditional":[86],"early-exit.":[87],"Specifically,":[88],"it":[89],"comprised":[91],"multiple":[93],"subnetworks":[94,116],"different":[96],"resolutions,":[97],"where":[98],"first":[103],"classified":[104],"lightweight":[106],"subnetwork":[107],"using":[108],"lowest":[110],"sampling":[111,143],"rate,":[112],"subsequent":[115],"higher":[118],"would":[120],"be":[121,159],"sequentially":[122],"applied":[123],"once":[124],"former":[126],"one":[127],"fails":[128],"reach":[130],"confidence":[132,163],"threshold.":[133],"Such":[134],"dynamical":[135],"decision":[136],"process":[137],"could":[138],"adaptively":[139],"select":[140],"proper":[142],"rate":[144],"each":[146],"sample":[148],"conditioned":[149],"input":[152],"if":[153],"budget":[155],"varies,":[156],"will":[158],"terminated":[160],"until":[161],"obtained,":[165],"hence":[166],"avoiding":[167],"excessive":[168],"computations.":[169],"Comprehensive":[170],"experiments":[171],"four":[173],"diverse":[174],"HAR":[175],"benchmark":[176,190],"datasets":[177],"demonstrate":[178],"effectiveness":[180],"our":[182],"method":[183],"terms":[185],"accuracy-cost":[187],"tradeoff.":[188],"average":[192],"latency":[193],"real":[196],"hardware.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
