{"id":"https://openalex.org/W2972118594","doi":"https://doi.org/10.1145/3341163.3347727","title":"On the role of features in human activity recognition","display_name":"On the role of features in human activity recognition","publication_year":2019,"publication_date":"2019-09-05","ids":{"openalex":"https://openalex.org/W2972118594","doi":"https://doi.org/10.1145/3341163.3347727","mag":"2972118594"},"language":"en","primary_location":{"id":"doi:10.1145/3341163.3347727","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341163.3347727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd International Symposium on Wearable Computers","raw_type":"proceedings-article"},"type":"conference-paper","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/A5084861727","display_name":"Harish Haresamudram","orcid":"https://orcid.org/0000-0002-0545-6504"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harish Haresamudram","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033437141","display_name":"David V. Anderson","orcid":"https://orcid.org/0000-0002-8571-4613"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David V. Anderson","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111516020","display_name":"Thomas Pl\u00f6tz","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Pl\u00f6tz","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"78","last_page":"88"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9854999780654907,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7989242076873779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6620317101478577},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.650877833366394},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6252459287643433},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6229144334793091},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.6189558506011963},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5986043810844421},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5778062343597412},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.49950575828552246},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4989643096923828},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4969692528247833},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4338233470916748},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4304884374141693},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4077223241329193}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7989242076873779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6620317101478577},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.650877833366394},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6252459287643433},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6229144334793091},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.6189558506011963},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5986043810844421},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5778062343597412},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.49950575828552246},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4989643096923828},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4969692528247833},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4338233470916748},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4304884374141693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4077223241329193},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341163.3347727","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341163.3347727","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd International Symposium on Wearable Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W22482183","https://openalex.org/W46659105","https://openalex.org/W1543614656","https://openalex.org/W1572369853","https://openalex.org/W1979613719","https://openalex.org/W1991468035","https://openalex.org/W2002261403","https://openalex.org/W2023302299","https://openalex.org/W2026297770","https://openalex.org/W2064675550","https://openalex.org/W2073401630","https://openalex.org/W2097575504","https://openalex.org/W2128892560","https://openalex.org/W2136922672","https://openalex.org/W2142817672","https://openalex.org/W2145343602","https://openalex.org/W2148857358","https://openalex.org/W2152249839","https://openalex.org/W2164274563","https://openalex.org/W2212776954","https://openalex.org/W2270470215","https://openalex.org/W2288074780","https://openalex.org/W2299663257","https://openalex.org/W2344284192","https://openalex.org/W2519091744","https://openalex.org/W2535388113","https://openalex.org/W2546536770","https://openalex.org/W2557283755","https://openalex.org/W2558891025","https://openalex.org/W2600687292","https://openalex.org/W2604630936","https://openalex.org/W2626549485","https://openalex.org/W2739601332","https://openalex.org/W2803166421","https://openalex.org/W2803458625","https://openalex.org/W2879029702","https://openalex.org/W2894702700","https://openalex.org/W2895221247","https://openalex.org/W2895688372","https://openalex.org/W2950133940","https://openalex.org/W2952453038","https://openalex.org/W2953061907","https://openalex.org/W2963716982","https://openalex.org/W3001191590","https://openalex.org/W6990696534"],"related_works":["https://openalex.org/W2117913171","https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2566526749","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W2582769230"],"abstract_inverted_index":{"Traditionally,":[0],"the":[1,62,106,125],"sliding":[2],"window":[3],"based":[4],"activity":[5,96],"recognition":[6,52,97,115],"chain":[7],"(ARC)":[8],"has":[9],"been":[10],"dominating":[11],"practical":[12],"applications,":[13],"in":[14,67],"which":[15],"features":[16],"are":[17],"carefully":[18],"optimized":[19],"towards":[20,136],"scenario":[21],"specifics.":[22],"Recently,":[23],"end-to-end,":[24],"deep":[25],"learning":[26,34,88,103,121],"methods,":[27,81,89,122],"that":[28],"do":[29],"not":[30,113],"discriminate":[31],"between":[32],"representation":[33,87],"and":[35,59,85,90,140,143],"classifier":[36],"optimization,":[37],"have":[38],"become":[39],"very":[40],"popular":[41],"also":[42],"for":[43,94],"HAR":[44,68],"using":[45,69,119],"wearables,":[46],"promising":[47],"\"out-of-the-box\"":[48],"modeling":[49],"with":[50],"superior":[51],"capabilities.":[53],"In":[54,71],"this":[55],"paper,":[56],"we":[57,75],"revisit":[58],"analyze":[60],"specifically":[61],"role":[63],"feature":[64,79,102],"representations":[65],"play":[66],"wearables.":[70],"a":[72],"systematic":[73],"exploration":[74],"evaluate":[76],"eight":[77],"different":[78],"extraction":[80],"including":[82],"conventional":[83,107],"heuristics":[84],"recent":[86],"assess":[91],"their":[92,134,141],"capabilities":[93],"effective":[95],"on":[98],"five":[99],"benchmarks.":[100],"Optimized":[101],"integrated":[104],"into":[105],"ARC":[108],"leads":[109],"to":[110,132],"comparable":[111],"if":[112,118],"better":[114],"results":[116],"as":[117],"end-to-end":[120],"while":[123],"at":[124],"same":[126],"time":[127],"offering":[128],"practitioners":[129],"more":[130],"flexibility":[131],"optimize":[133],"systems":[135],"specifics":[137],"of":[138],"wearables":[139],"constraints":[142],"limitations.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
