{"id":"https://openalex.org/W4383097453","doi":"https://doi.org/10.1109/icra48891.2023.10161236","title":"A Probabilistic Model of Activity Recognition with Loose Clothing","display_name":"A Probabilistic Model of Activity Recognition with Loose Clothing","publication_year":2023,"publication_date":"2023-05-29","ids":{"openalex":"https://openalex.org/W4383097453","doi":"https://doi.org/10.1109/icra48891.2023.10161236"},"language":"en","primary_location":{"id":"doi:10.1109/icra48891.2023.10161236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48891.2023.10161236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","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/A5012593211","display_name":"Tianchen Shen","orcid":"https://orcid.org/0000-0001-7807-1966"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tianchen Shen","raw_affiliation_strings":["King&#x0027;s College,Centre for Robotics Research,Department of Engineering,London,UK"],"affiliations":[{"raw_affiliation_string":"King&#x0027;s College,Centre for Robotics Research,Department of Engineering,London,UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081508200","display_name":"Irene Di Giulio","orcid":"https://orcid.org/0000-0002-4987-6914"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Irene Di Giulio","raw_affiliation_strings":["Centre for Human and Applied Physiological Sciences, King&#x0027;s College,London,UK"],"affiliations":[{"raw_affiliation_string":"Centre for Human and Applied Physiological Sciences, King&#x0027;s College,London,UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050881123","display_name":"Matthew Howard","orcid":"https://orcid.org/0000-0003-2534-4865"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matthew Howard","raw_affiliation_strings":["King&#x0027;s College,Centre for Robotics Research,Department of Engineering,London,UK"],"affiliations":[{"raw_affiliation_string":"King&#x0027;s College,Centre for Robotics Research,Department of Engineering,London,UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012593211"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6149,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68898374,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"12659","last_page":"12664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9952999949455261,"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":0.9952999949455261,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10803","display_name":"Innovative Human-Technology Interaction","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/wearable-computer","display_name":"Wearable computer","score":0.757177472114563},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.738862156867981},{"id":"https://openalex.org/keywords/counterintuitive","display_name":"Counterintuitive","score":0.7363954186439514},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.7332474589347839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7137327790260315},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6983097791671753},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.6263670325279236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5637823343276978},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5465793013572693},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5350571274757385},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5064469575881958},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.4793299436569214},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.47539934515953064},{"id":"https://openalex.org/keywords/human-body-model","display_name":"Human-body model","score":0.4515506327152252},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4117873013019562},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34976911544799805},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.329828143119812},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17753151059150696},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.10071706771850586},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.09029081463813782}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.757177472114563},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.738862156867981},{"id":"https://openalex.org/C101097943","wikidata":"https://www.wikidata.org/wiki/Q5176983","display_name":"Counterintuitive","level":2,"score":0.7363954186439514},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.7332474589347839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7137327790260315},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6983097791671753},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.6263670325279236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5637823343276978},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5465793013572693},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5350571274757385},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5064469575881958},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.4793299436569214},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.47539934515953064},{"id":"https://openalex.org/C2781089380","wikidata":"https://www.wikidata.org/wiki/Q5936753","display_name":"Human-body model","level":2,"score":0.4515506327152252},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4117873013019562},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34976911544799805},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.329828143119812},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17753151059150696},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.10071706771850586},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.09029081463813782},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra48891.2023.10161236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48891.2023.10161236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","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":23,"referenced_works":["https://openalex.org/W195533127","https://openalex.org/W622233251","https://openalex.org/W1964130324","https://openalex.org/W1972571116","https://openalex.org/W2051134472","https://openalex.org/W2088891137","https://openalex.org/W2110729448","https://openalex.org/W2153255031","https://openalex.org/W2153635508","https://openalex.org/W2266220323","https://openalex.org/W2762046576","https://openalex.org/W2791926603","https://openalex.org/W2980819341","https://openalex.org/W2982560164","https://openalex.org/W2995020528","https://openalex.org/W3080280202","https://openalex.org/W3135450917","https://openalex.org/W4200588340","https://openalex.org/W4285102445","https://openalex.org/W4294169491","https://openalex.org/W6607976765","https://openalex.org/W6641403377","https://openalex.org/W6693498503"],"related_works":["https://openalex.org/W2063242193","https://openalex.org/W1974184612","https://openalex.org/W2951339408","https://openalex.org/W2386384541","https://openalex.org/W2126339291","https://openalex.org/W1607176364","https://openalex.org/W2108870989","https://openalex.org/W2624451073","https://openalex.org/W2105654112","https://openalex.org/W2393303338"],"abstract_inverted_index":{"Human":[0],"activity":[1,76],"recognition":[2,77],"has":[3],"become":[4],"an":[5],"attractive":[6],"research":[7],"area":[8],"with":[9,49,57],"the":[10,36,60,105,118],"development":[11],"of":[12,55,75,117],"on-body":[13],"wearable":[14],"sensing":[15],"technology.":[16],"With":[17],"comfortable":[18],"electronic-textiles,":[19],"sensors":[20],"can":[21,70],"be":[22],"embedded":[23],"into":[24],"clothing":[25,56],"so":[26],"that":[27,67,134],"it":[28,131],"is":[29,45,93,102,132,138],"possible":[30],"to":[31,47,59],"record":[32],"human":[33,126],"movement":[34,54],"outside":[35],"laboratory":[37],"for":[38],"long":[39],"periods.":[40],"However,":[41],"a":[42,90],"long-standing":[43],"issue":[44],"how":[46],"deal":[48],"motion":[50,127],"artifact":[51],"introduced":[52,94],"by":[53,104],"respect":[58],"body.":[61],"Surprisingly,":[62],"recent":[63],"empirical":[64],"findings":[65],"suggest":[66],"cloth-attached":[68],"sensor":[69],"actually":[71],"achieve":[72],"higher":[73],"accuracy":[74,99],"than":[78],"rigid-attached":[79],"sensor,":[80],"particularly":[81],"when":[82],"predicting":[83],"from":[84],"short":[85],"time-windows.":[86],"In":[87],"this":[88,97,135],"work,":[89],"probabilistic":[91],"model":[92,119],"in":[95,122],"which":[96],"improved":[98],"and":[100,124],"resposiveness":[101],"explained":[103],"increased":[106],"statistical":[107],"distance":[108],"between":[109],"movements":[110],"recorded":[111],"via":[112],"fabric":[113],"sensing.":[114],"The":[115],"predictions":[116],"are":[120],"verified":[121],"simulated":[123],"real":[125],"capture":[128],"experiments,":[129],"where":[130],"evident":[133],"counterintuitive":[136],"effect":[137],"closely":[139],"captured.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
