{"id":"https://openalex.org/W2899464392","doi":"https://doi.org/10.1145/3267305.3267596","title":"Improving Sensor-based Activity Recognition Using Motion Capture as Additional Information","display_name":"Improving Sensor-based Activity Recognition Using Motion Capture as Additional Information","publication_year":2018,"publication_date":"2018-10-08","ids":{"openalex":"https://openalex.org/W2899464392","doi":"https://doi.org/10.1145/3267305.3267596","mag":"2899464392"},"language":"en","primary_location":{"id":"doi:10.1145/3267305.3267596","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267305.3267596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and 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/A5070698030","display_name":"Paula Lago","orcid":"https://orcid.org/0000-0001-5290-6486"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Paula Lago","raw_affiliation_strings":["Kyushu Institute of Technology, Tobata-ku, Kitakyushu-shi, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Tobata-ku, Kitakyushu-shi, Fukuoka, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026921207","display_name":"Tsuyoshi Okita","orcid":"https://orcid.org/0000-0002-1286-5496"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsuyoshi Okita","raw_affiliation_strings":["Kyushu Institute of Technology, Tobata-ku, Kitakyushu-shi, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Tobata-ku, Kitakyushu-shi, Fukuoka, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108445699","display_name":"Shingo Takeda","orcid":null},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shingo Takeda","raw_affiliation_strings":["Kyushu Institute of Technology, Tobata-ku, Kitakyushu-shi, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Tobata-ku, Kitakyushu-shi, Fukuoka, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080895628","display_name":"Sozo Inoue","orcid":"https://orcid.org/0000-0003-1109-8130"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sozo Inoue","raw_affiliation_strings":["Kyushu Institute of Technology, Tobata-ku, Kitakyushu-shi, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Tobata-ku, Kitakyushu-shi, Fukuoka, Japan","institution_ids":["https://openalex.org/I207014233"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070698030"],"corresponding_institution_ids":["https://openalex.org/I207014233"],"apc_list":null,"apc_paid":null,"fwci":0.1063,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47356018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"118","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9997000098228455,"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":0.9997000098228455,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983999729156494,"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":0.9907000064849854,"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/activity-recognition","display_name":"Activity recognition","score":0.8618628978729248},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.8336270451545715},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7514762878417969},{"id":"https://openalex.org/keywords/codebook","display_name":"Codebook","score":0.6360844969749451},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6124613285064697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6081864237785339},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.5711567997932434},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.5709353685379028},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4722568094730377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4183880090713501},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.3975429832935333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3233915865421295}],"concepts":[{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.8618628978729248},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.8336270451545715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7514762878417969},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.6360844969749451},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6124613285064697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6081864237785339},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.5711567997932434},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.5709353685379028},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4722568094730377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4183880090713501},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3975429832935333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3233915865421295},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3267305.3267596","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3267305.3267596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:01216:0007240894","is_oa":false,"landing_page_url":"https://kyutech.repo.nii.ac.jp/records/2002224","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers","raw_type":"journal article"},{"id":"pmh:oai:kyutech.repo.nii.ac.jp:02002224","is_oa":false,"landing_page_url":"http://hdl.handle.net/10228/0002002224","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"NA"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1968969471","https://openalex.org/W2021717943","https://openalex.org/W2023358262","https://openalex.org/W2025723605","https://openalex.org/W2072070523","https://openalex.org/W2086509056","https://openalex.org/W2520540383","https://openalex.org/W2962762077"],"related_works":["https://openalex.org/W2293149949","https://openalex.org/W2026099691","https://openalex.org/W4284672201","https://openalex.org/W2377486419","https://openalex.org/W2943202426","https://openalex.org/W2163679795","https://openalex.org/W2736714427","https://openalex.org/W2137816434","https://openalex.org/W3016838864","https://openalex.org/W3135709989"],"abstract_inverted_index":{"We":[0,80],"propose":[1,68],"a":[2,10,69,90],"new":[3,70],"method":[4,71],"for":[5,17,24,124,137],"human":[6],"activity":[7],"recognition":[8],"using":[9,146],"single":[11],"accelerometer":[12],"sensor":[13,96,141],"and":[14,117,128],"additional":[15,74,95],"sensors":[16,23,42,75],"training.":[18],"The":[19],"performance":[20],"of":[21,84],"inertial":[22,140],"complex":[25],"activities":[26,32,132,136],"drops":[27],"considerably":[28],"compared":[29],"with":[30],"simple":[31],"due":[33,56],"to":[34,57,72,89,130],"inter-class":[35],"similarities.":[36],"In":[37,64],"such":[38,48],"cases":[39],"deploying":[40],"more":[41],"may":[43],"improve":[44],"the":[45,82,86,94,99,114,118,122,125,139,147],"performance.":[46],"But":[47],"strategy":[49],"is":[50,142],"often":[51],"not":[52],"feasible":[53],"in":[54,77,111],"reality":[55],"costs":[58],"or":[59],"privacy":[60],"concerns":[61],"among":[62],"others.":[63],"this":[65,107],"context,":[66],"we":[67],"use":[73],"only":[76],"training":[78],"phase.":[79],"introduce":[81],"idea":[83],"mapping":[85],"test":[87],"data":[88],"codebook":[91],"created":[92],"from":[93],"information.":[97],"Using":[98],"Berkeley":[100],"MHAD":[101],"dataset":[102],"our":[103],"preliminary":[104],"results":[105],"show":[106],"worked":[108],"positively;":[109],"improving":[110],"10.0%":[112],"both":[113],"average":[115,119],"F1-score":[116],"accuracy.":[120],"Notably,":[121],"improvement":[123],"stand,":[126],"sit":[127,129],"stand":[131],"was":[133],"higher,":[134],"typical":[135],"which":[138],"less":[143],"informative":[144],"when":[145],"wrist-worn":[148],"accelerometer.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
