{"id":"https://openalex.org/W2032448302","doi":"https://doi.org/10.1109/icspcs.2011.6140869","title":"A HMM-based fundamental motion synthesis approach for gesture recognition on a nintendo triaxial accelerometer","display_name":"A HMM-based fundamental motion synthesis approach for gesture recognition on a nintendo triaxial accelerometer","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2032448302","doi":"https://doi.org/10.1109/icspcs.2011.6140869","mag":"2032448302"},"language":"en","primary_location":{"id":"doi:10.1109/icspcs.2011.6140869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcs.2011.6140869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 5th International Conference on Signal Processing and Communication Systems (ICSPCS)","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/A5100726714","display_name":"Wei\u2010Cheng Chen","orcid":"https://orcid.org/0000-0001-6578-000X"},"institutions":[{"id":"https://openalex.org/I173093425","display_name":"Chang Gung University","ror":"https://ror.org/00d80zx46","country_code":"TW","type":"education","lineage":["https://openalex.org/I173093425"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wei-Cheng Chen","raw_affiliation_strings":["Department of Computer Science., Chang Gung University, Taoyuan, Taiwan","Dept. of Computer Science, Chang Gung University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science., Chang Gung University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I173093425"]},{"raw_affiliation_string":"Dept. of Computer Science, Chang Gung University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I173093425"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077059176","display_name":"Ren-Yuan Lyu","orcid":"https://orcid.org/0000-0002-6691-6447"},"institutions":[{"id":"https://openalex.org/I173093425","display_name":"Chang Gung University","ror":"https://ror.org/00d80zx46","country_code":"TW","type":"education","lineage":["https://openalex.org/I173093425"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ren-Yuan Lyu","raw_affiliation_strings":["Department of Computer Science., Chang Gung University, Taoyuan, Taiwan","Dept. of Computer Science, Chang Gung University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science., Chang Gung University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I173093425"]},{"raw_affiliation_string":"Dept. of Computer Science, Chang Gung University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I173093425"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100726714"],"corresponding_institution_ids":["https://openalex.org/I173093425"],"apc_list":null,"apc_paid":null,"fwci":0.5826,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69000689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"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/T12290","display_name":"Human Motion and Animation","score":0.9943000078201294,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9894000291824341,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.7779273986816406},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7388082146644592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6582239866256714},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6391646265983582},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.599165678024292},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5276013016700745},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5141130089759827},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4678187072277069},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3860096037387848}],"concepts":[{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.7779273986816406},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7388082146644592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6582239866256714},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6391646265983582},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.599165678024292},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5276013016700745},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5141130089759827},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4678187072277069},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3860096037387848},{"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:10.1109/icspcs.2011.6140869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcs.2011.6140869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 5th International Conference on Signal Processing and Communication Systems (ICSPCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2107012990","https://openalex.org/W2116494851","https://openalex.org/W2120255133","https://openalex.org/W2120701504","https://openalex.org/W2125546171","https://openalex.org/W2136956005","https://openalex.org/W2139670260","https://openalex.org/W2142069714","https://openalex.org/W2149430595"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2028966255","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2466763065","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W1994032303"],"abstract_inverted_index":{"In":[0,53],"this":[1,69],"paper,":[2],"we":[3,57,95],"show":[4],"how":[5],"to":[6,17,59,65,80],"use":[7],"a":[8,19,35,73],"Nintendo":[9],"Wiimote":[10],"triaxial":[11],"accelerometer":[12],"as":[13,28,43,83],"an":[14],"input":[15],"device":[16],"make":[18],"gesture":[20],"recognition":[21,31],"system":[22],"based":[23],"on":[24],"Hidden":[25],"Markov":[26],"Model":[27],"the":[29,44,49,54,61],"kernel":[30],"algorithm.":[32],"We":[33,67],"adopted":[34],"set":[36,74],"of":[37,75],"basic":[38],"movements":[39],"called":[40],"\u201cFundamental":[41],"Motions\u201d":[42],"synthesis":[45],"units":[46],"for":[47,103],"all":[48],"other":[50],"complex":[51],"motions.":[52],"preliminary":[55],"study,":[56],"tried":[58],"discriminate":[60],"digits":[62],"from":[63],"\u20180\u2019":[64],"\u20189\u2019.":[66],"analyzed":[68],"task":[70],"and":[71,92,100,106],"found":[72],"16":[76],"motions":[77,105],"are":[78],"appropriate":[79,89],"be":[81],"used":[82],"HMM":[84,93],"modeling":[85],"units.":[86],"By":[87],"using":[88],"feature":[90],"extraction":[91],"topology,":[94],"can":[96],"achieve":[97],"near":[98],"98%":[99],"65%":[101],"accuracy":[102],"discrete":[104],"continuous":[107],"motions,":[108],"respectively.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
