{"id":"https://openalex.org/W2770771257","doi":"https://doi.org/10.1109/idaacs.2017.8095201","title":"Accelerated search of human activity registered by non-invasive sensors","display_name":"Accelerated search of human activity registered by non-invasive sensors","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2770771257","doi":"https://doi.org/10.1109/idaacs.2017.8095201","mag":"2770771257"},"language":"en","primary_location":{"id":"doi:10.1109/idaacs.2017.8095201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs.2017.8095201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","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/A5037594551","display_name":"Ivo Draganov","orcid":"https://orcid.org/0000-0001-5076-3020"},"institutions":[{"id":"https://openalex.org/I31151848","display_name":"Technical University of Sofia","ror":"https://ror.org/052prhs50","country_code":"BG","type":"education","lineage":["https://openalex.org/I31151848"]}],"countries":["BG"],"is_corresponding":true,"raw_author_name":"Ivo Draganov","raw_affiliation_strings":["Technical University of Sofia, Sofia, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Technical University of Sofia, Sofia, Bulgaria","institution_ids":["https://openalex.org/I31151848"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024242696","display_name":"Pavel Dinev","orcid":null},"institutions":[{"id":"https://openalex.org/I31151848","display_name":"Technical University of Sofia","ror":"https://ror.org/052prhs50","country_code":"BG","type":"education","lineage":["https://openalex.org/I31151848"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Pavel Dinev","raw_affiliation_strings":["Technical University of Sofia, Sofia, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Technical University of Sofia, Sofia, Bulgaria","institution_ids":["https://openalex.org/I31151848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021844220","display_name":"Ognian Boumbarov","orcid":"https://orcid.org/0000-0001-8279-4999"},"institutions":[{"id":"https://openalex.org/I31151848","display_name":"Technical University of Sofia","ror":"https://ror.org/052prhs50","country_code":"BG","type":"education","lineage":["https://openalex.org/I31151848"]}],"countries":["BG"],"is_corresponding":false,"raw_author_name":"Ognian Boumbarov","raw_affiliation_strings":["Technical University of Sofia, Sofia, Bulgaria"],"affiliations":[{"raw_affiliation_string":"Technical University of Sofia, Sofia, Bulgaria","institution_ids":["https://openalex.org/I31151848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037594551"],"corresponding_institution_ids":["https://openalex.org/I31151848"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17241713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"815","last_page":"820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":1.0,"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":1.0,"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":0.9818000197410583,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/normalization","display_name":"Normalization (sociology)","score":0.7312375903129578},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6891405582427979},{"id":"https://openalex.org/keywords/stairs","display_name":"Stairs","score":0.6613284349441528},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5222856998443604},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.5078428387641907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46120092272758484},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4599873125553131},{"id":"https://openalex.org/keywords/sitting","display_name":"Sitting","score":0.4221612215042114},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.41610413789749146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34854555130004883},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10885995626449585},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10547485947608948}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7312375903129578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6891405582427979},{"id":"https://openalex.org/C2777295749","wikidata":"https://www.wikidata.org/wiki/Q12511","display_name":"Stairs","level":2,"score":0.6613284349441528},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5222856998443604},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.5078428387641907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46120092272758484},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4599873125553131},{"id":"https://openalex.org/C2776370487","wikidata":"https://www.wikidata.org/wiki/Q1144593","display_name":"Sitting","level":2,"score":0.4221612215042114},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.41610413789749146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34854555130004883},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10885995626449585},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10547485947608948},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/idaacs.2017.8095201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs.2017.8095201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","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":18,"referenced_works":["https://openalex.org/W134960717","https://openalex.org/W1640331862","https://openalex.org/W1773442030","https://openalex.org/W1857382374","https://openalex.org/W2008311091","https://openalex.org/W2017634428","https://openalex.org/W2127095067","https://openalex.org/W2180635266","https://openalex.org/W2400918203","https://openalex.org/W2597792888","https://openalex.org/W2606018208","https://openalex.org/W4308320585","https://openalex.org/W6605479355","https://openalex.org/W6639065193","https://openalex.org/W6712693404","https://openalex.org/W6735321600","https://openalex.org/W6736599040","https://openalex.org/W6847279901"],"related_works":["https://openalex.org/W2049247410","https://openalex.org/W2318265355","https://openalex.org/W1976557033","https://openalex.org/W1486724195","https://openalex.org/W560737017","https://openalex.org/W4200464353","https://openalex.org/W2387566434","https://openalex.org/W2592227335","https://openalex.org/W1515848118","https://openalex.org/W4233878620"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"a":[5,72,81,90,97],"new":[6],"approach":[7,140],"for":[8,30,83,100,129,144,150],"accelerated":[9],"search":[10,82],"of":[11,56,92,132,134,137,153],"human":[12],"activity":[13],"registered":[14],"by":[15,116],"noninvasive":[16],"sensors.":[17],"A":[18,38],"standard":[19],"data":[20],"representation":[21],"in":[22,71,146,162],"three":[23],"combined":[24],"directions":[25],"x,":[26,118],"y":[27],"and":[28,65,68,121],"z":[29],"the":[31,46,57,77,105,109,135],"feature":[32],"vectors":[33,111],"are":[34,112],"used":[35],"as":[36],"input.":[37],"k-NN":[39],"(k-Nearest":[40],"Neighbors)":[41],"classifier":[42],"is":[43,52,141],"trained":[44],"with":[45],"full":[47],"3D":[48],"descriptors.":[49],"The":[50,139],"aim":[51],"to":[53,125],"recognize":[54],"one":[55],"following":[58],"actions":[59,136],"-":[60],"running,":[61],"walking,":[62],"going":[63],"upstairs":[64],"down-stairs,":[66],"sitting,":[67],"standing":[69],"up":[70],"less":[73],"execution":[74],"time":[75],"at":[76],"test":[78,110],"stage.":[79],"There":[80],"particular":[84],"action":[85],"could":[86,158],"be":[87,126,160],"implemented":[88],"over":[89],"record":[91],"prolonged":[93],"time,":[94],"e.g.":[95],"on":[96],"daily":[98],"basis,":[99],"an":[101],"observed":[102],"person.":[103],"Following":[104],"initial":[106],"normalization":[107],"procedures":[108],"split":[113],"into":[114],"groups":[115],"components":[117],"xy,":[119],"yz":[120],"xyz":[122],"which":[123],"prove":[124],"representative":[127],"enough":[128],"sequential":[130],"lookup":[131],"some":[133],"interest.":[138],"considered":[142],"perspective":[143],"application":[145],"medical":[147,156],"assistive":[148],"systems":[149],"various":[151],"types":[152],"patients":[154],"where":[155],"personnel":[157],"not":[159],"involved":[161],"permanent":[163],"superintendence.":[164]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}