{"id":"https://openalex.org/W2787272364","doi":"https://doi.org/10.1109/icecs.2017.8292074","title":"Hand gesture classification using inertial based sensors via a neural network","display_name":"Hand gesture classification using inertial based sensors via a neural network","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2787272364","doi":"https://doi.org/10.1109/icecs.2017.8292074","mag":"2787272364"},"language":"en","primary_location":{"id":"doi:10.1109/icecs.2017.8292074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs.2017.8292074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","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/A5079157487","display_name":"Erhan Akan","orcid":null},"institutions":[{"id":"https://openalex.org/I45542416","display_name":"Atilim University","ror":"https://ror.org/04pd3v454","country_code":"TR","type":"education","lineage":["https://openalex.org/I45542416"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Erhan Akan","raw_affiliation_strings":["Electrical and Electronics Engineering, Atilim University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering, Atilim University, Ankara, Turkey","institution_ids":["https://openalex.org/I45542416"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016928569","display_name":"Hakan Tora","orcid":"https://orcid.org/0000-0002-0427-483X"},"institutions":[{"id":"https://openalex.org/I45542416","display_name":"Atilim University","ror":"https://ror.org/04pd3v454","country_code":"TR","type":"education","lineage":["https://openalex.org/I45542416"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hakan Tora","raw_affiliation_strings":["Avionics/Electrical and Electronics Engineering, Atilim University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Avionics/Electrical and Electronics Engineering, Atilim University, Ankara, Turkey","institution_ids":["https://openalex.org/I45542416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112383786","display_name":"Baran Uslu","orcid":null},"institutions":[{"id":"https://openalex.org/I45542416","display_name":"Atilim University","ror":"https://ror.org/04pd3v454","country_code":"TR","type":"education","lineage":["https://openalex.org/I45542416"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Baran Uslu","raw_affiliation_strings":["Electrical and Electronics Engineering, Atilim University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Electrical and Electronics Engineering, Atilim University, Ankara, Turkey","institution_ids":["https://openalex.org/I45542416"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079157487"],"corresponding_institution_ids":["https://openalex.org/I45542416"],"apc_list":null,"apc_paid":null,"fwci":1.6796,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.85241676,"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":"140","last_page":"143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":1.0,"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/T13382","display_name":"Robotics and Automated Systems","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.8023685216903687},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.7978008985519409},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7624068260192871},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5949217677116394},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.5680931806564331},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5618489980697632},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.542183518409729},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5364552140235901},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.526947557926178},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.523756742477417},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5214152336120605},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5070126056671143},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5022015571594238},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4867548942565918},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3827802538871765},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14489945769309998},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08311441540718079}],"concepts":[{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.8023685216903687},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.7978008985519409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7624068260192871},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5949217677116394},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.5680931806564331},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5618489980697632},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.542183518409729},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5364552140235901},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.526947557926178},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.523756742477417},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5214152336120605},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5070126056671143},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5022015571594238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4867548942565918},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3827802538871765},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14489945769309998},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08311441540718079},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecs.2017.8292074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs.2017.8292074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 24th IEEE International Conference on Electronics, Circuits and Systems (ICECS)","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":15,"referenced_works":["https://openalex.org/W1605334861","https://openalex.org/W1969724184","https://openalex.org/W2024425337","https://openalex.org/W2064586113","https://openalex.org/W2103759272","https://openalex.org/W2119656522","https://openalex.org/W2124619563","https://openalex.org/W2134917076","https://openalex.org/W2147780311","https://openalex.org/W2342210045","https://openalex.org/W2740182464","https://openalex.org/W2744101609","https://openalex.org/W4255601674","https://openalex.org/W6678344803","https://openalex.org/W6704300946"],"related_works":["https://openalex.org/W2338394561","https://openalex.org/W3106494386","https://openalex.org/W1902766772","https://openalex.org/W4220672327","https://openalex.org/W2203557590","https://openalex.org/W4221160179","https://openalex.org/W2116447301","https://openalex.org/W2179998186","https://openalex.org/W2413789176","https://openalex.org/W2547131314"],"abstract_inverted_index":{"In":[0,82],"this":[1],"study,":[2],"a":[3,38],"mobile":[4],"phone":[5],"equipped":[6],"with":[7,97],"four":[8],"types":[9],"of":[10,60,85],"sensors":[11],"namely,":[12],"accelerometer,":[13],"gyroscope,":[14],"magnetometer":[15],"and":[16,35,50,73,91],"orientation,":[17],"is":[18,88,95],"used":[19],"for":[20,42,62,68,75],"gesture":[21],"classification.":[22],"Without":[23],"feature":[24],"selection,":[25],"the":[26,30,76,92,98],"raw":[27],"data":[28],"from":[29],"sensor":[31,87],"outputs":[32],"are":[33,55,80],"processed":[34],"fed":[36],"into":[37],"Multi-Layer":[39],"Perceptron":[40],"classifier":[41],"recognition.":[43],"The":[44],"user":[45,48,52,64,70,77],"independent,":[46],"single":[47,63],"dependent":[49,53,65,71],"multiple":[51,69],"cases":[54],"all":[56],"examined.":[57],"Accuracy":[58],"values":[59],"91.66%":[61],"case,":[66],"87.48%":[67],"case":[72,79],"60%":[74],"independent":[78],"obtained.":[81],"addition,":[83],"performance":[84,94],"each":[86],"assessed":[89],"separately":[90],"highest":[93],"achieved":[96],"orientation":[99],"sensor.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}