{"id":"https://openalex.org/W4317927990","doi":"https://doi.org/10.1145/3560905.3568063","title":"Exploring Rolling Shutter Effect for Motion Tracking with Objective Identification","display_name":"Exploring Rolling Shutter Effect for Motion Tracking with Objective Identification","publication_year":2022,"publication_date":"2022-11-06","ids":{"openalex":"https://openalex.org/W4317927990","doi":"https://doi.org/10.1145/3560905.3568063"},"language":"en","primary_location":{"id":"doi:10.1145/3560905.3568063","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3560905.3568063","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568063","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568063","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026121963","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0002-7392-3477"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":["Michigan State University"],"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047427599","display_name":"Griffin Klevering","orcid":"https://orcid.org/0000-0002-2363-5047"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Griffin Klevering","raw_affiliation_strings":["Michigan State University"],"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100630881","display_name":"Li Xiao","orcid":"https://orcid.org/0000-0003-2861-8438"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Xiao","raw_affiliation_strings":["Michigan State University"],"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026121963"],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":0.6724,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73266564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"816","last_page":"817"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9987999796867371,"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":0.9987999796867371,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9976000189781189,"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/T10789","display_name":"Interactive and Immersive Displays","score":0.9959999918937683,"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/computer-science","display_name":"Computer science","score":0.7606619596481323},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.740300178527832},{"id":"https://openalex.org/keywords/shutter","display_name":"Shutter","score":0.7340294122695923},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7023013830184937},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6855194568634033},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6717698574066162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6648296117782593},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5962983965873718},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5460715889930725},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5424914360046387},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.45432180166244507},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16011154651641846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7606619596481323},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.740300178527832},{"id":"https://openalex.org/C2776871301","wikidata":"https://www.wikidata.org/wiki/Q691823","display_name":"Shutter","level":2,"score":0.7340294122695923},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7023013830184937},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6855194568634033},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6717698574066162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6648296117782593},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5962983965873718},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5460715889930725},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5424914360046387},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.45432180166244507},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16011154651641846},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3560905.3568063","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3560905.3568063","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568063","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3560905.3568063","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3560905.3568063","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3560905.3568063","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2746867658","display_name":null,"funder_award_id":"CCF-2007159,CNS-2226888","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4317927990.pdf"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W2754889825","https://openalex.org/W4306178623","https://openalex.org/W4308089075"],"related_works":["https://openalex.org/W747865691","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"Sensing-based":[0],"user":[1],"interfaces":[2],"hold":[3],"enormous":[4],"potential":[5],"for":[6],"smart":[7],"homes,":[8],"medical":[9],"equipment,":[10],"educational":[11],"systems,":[12],"AR/VR/MR,":[13],"etc.":[14],"However":[15],"existing":[16],"hand":[17],"and":[18,54,77,87],"body":[19],"gesture":[20,85],"recognition":[21,86],"systems":[22],"are":[23,60],"mostly":[24],"based":[25],"on":[26,75],"frame-level":[27],"computer":[28],"vision":[29],"approaches,":[30],"which":[31],"have":[32],"limitations":[33],"such":[34],"as":[35],"the":[36,41,50,58,84,89],"inability":[37],"to":[38,70,82],"operate":[39],"in":[40,61,65],"environment":[42],"with":[43,93],"low":[44],"brightness,":[45],"short":[46],"detection":[47],"distance,":[48],"without":[49],"objective":[51,94],"identification":[52],"ability,":[53],"coarse-grained":[55],"tracking":[56,92],"when":[57],"objectives":[59,76],"high-speed":[62],"motion.":[63],"Therefore,":[64],"this":[66],"paper,":[67],"we":[68],"propose":[69],"attach":[71],"active":[72],"LED":[73],"elements":[74],"utilize":[78],"rolling":[79],"shutter":[80],"effect":[81],"enhance":[83],"achieve":[88],"fine-grained":[90],"motion":[91],"identification.":[95]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5}],"updated_date":"2026-01-20T23:28:44.954186","created_date":"2025-10-10T00:00:00"}
