{"id":"https://openalex.org/W2152364474","doi":"https://doi.org/10.1145/1236360.1236408","title":"A compact, high-speed, wearable sensor network for biomotion capture and interactive media","display_name":"A compact, high-speed, wearable sensor network for biomotion capture and interactive media","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2152364474","doi":"https://doi.org/10.1145/1236360.1236408","mag":"2152364474"},"language":"en","primary_location":{"id":"doi:10.1145/1236360.1236408","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1236360.1236408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th international conference on Information processing in sensor networks  - IPSN '07","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/A5002550549","display_name":"Ryan Aylward","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ryan Aylward","raw_affiliation_strings":["MIT Media Laboratory, Cambridge, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Media Laboratory, Cambridge, MA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086159548","display_name":"Joseph A. Paradiso","orcid":"https://orcid.org/0000-0002-0719-7104"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joseph A. Paradiso","raw_affiliation_strings":["MIT Media Laboratory, Cambridge, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MIT Media Laboratory, Cambridge, MA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.9804,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.98105366,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"380","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12740","display_name":"Gait Recognition and Analysis","score":0.9797000288963318,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9767000079154968,"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":0.7679861783981323},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6605730056762695},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.6091100573539734},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.49613747000694275},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4758182168006897},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.47022509574890137},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4556659758090973},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.4427725076675415},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.43999195098876953},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.43534818291664124},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4126166105270386},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.27468186616897583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23182782530784607},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1503179669380188},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14442765712738037},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10381612181663513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7679861783981323},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6605730056762695},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.6091100573539734},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.49613747000694275},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4758182168006897},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.47022509574890137},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4556659758090973},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.4427725076675415},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.43999195098876953},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.43534818291664124},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4126166105270386},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.27468186616897583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23182782530784607},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1503179669380188},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14442765712738037},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10381612181663513},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural 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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1236360.1236408","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1236360.1236408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th international conference on Information processing in sensor networks  - IPSN '07","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.67.8759","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.67.8759","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.media.mit.edu/resenv/pubs/papers/2007-04-spots147-aylward.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W166496286","https://openalex.org/W1483306364","https://openalex.org/W1552604658","https://openalex.org/W1591300912","https://openalex.org/W1976522035","https://openalex.org/W1980048558","https://openalex.org/W2002201329","https://openalex.org/W2032088762","https://openalex.org/W2096264378","https://openalex.org/W2103799721","https://openalex.org/W2104066809","https://openalex.org/W2110392303","https://openalex.org/W2114418543","https://openalex.org/W2169128581","https://openalex.org/W2171413395","https://openalex.org/W2270541445"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2095299560","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W2999186374"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5,30,56,107,138,145],"wireless":[6,109],"sensor":[7],"platform":[8],"designed":[9],"for":[10,78,159],"processing":[11,158],"multipoint":[12],"human":[13],"motion":[14],"with":[15,64,131,164,204],"low":[16],"latency":[17],"and":[18,93,137,157,207],"high":[19,89],"resolution.":[20],"One":[21],"application":[22],"considered":[23],"here":[24,195],"is":[25,91,96,129],"interactive":[26],"dance,":[27],"in":[28,82],"which":[29],"choreographer":[31],"wishes":[32],"to":[33,46,67,101,161,186],"translate":[34],"the":[35,48,69,83,125,151,197],"movements":[36,71],"of":[37,61,72,85,111,184,199],"multiple":[38,73],"dancers":[39,206],"into":[40],"real-time":[41,154],"audio":[42],"or":[43],"video":[44],"content":[45],"accompany":[47],"performance.":[49],"This":[50],"can":[51,118],"only":[52],"be":[53,119],"accomplished":[54],"using":[55],"distributed":[57],"measurement":[58,114],"system":[59,152],"capable":[60],"responding":[62],"quickly":[63],"enough":[65],"information":[66],"describe":[68],"expressive":[70],"people.":[74],"Similar":[75],"requirements":[76,105],"exist":[77],"biomechanical":[79],"analysis,":[80],"especially":[81],"context":[84],"athletic":[86],"training,":[87],"where":[88],"resolution":[90],"demanded,":[92],"instant":[94],"feedback":[95],"also":[97],"desirable.":[98],"Our":[99],"approach":[100],"addressing":[102],"such":[103],"aggressive":[104],"involves":[106],"high-speed":[108],"network":[110],"compact":[112],"inertial":[113],"units":[115],"(IMUs)":[116],"that":[117],"worn":[120],"at":[121],"various":[122],"locations":[123],"on":[124],"body.":[126],"Each":[127],"device":[128],"equipped":[130],"its":[132,176],"own":[133],"1Mbps":[134],"radio":[135],"link":[136],"full":[139,166],"six-axis":[140],"IMU,":[141],"as":[142,144],"well":[143],"capacitive":[146],"node-to-node":[147],"proximity":[148],"sensor.":[149],"Currently,":[150],"supports":[153],"data":[155,173],"collection":[156],"up":[160,185],"25":[162],"nodes":[163],"100Hz":[165],"state":[167],"updates,":[168],"thereby":[169],"handling":[170],"much":[171],"higher":[172],"rates":[174,183],"than":[175],"predecessors.":[177],"With":[178],"locally":[179],"buffered":[180],"data,":[181],"sample":[182],"1kHz":[187],"have":[188],"been":[189],"achieved":[190],"successfully.":[191],"Early":[192],"results":[193],"discussed":[194],"demonstrate":[196],"feasibility":[198],"our":[200],"design":[201],"through":[202],"testing":[203],"both":[205],"professional":[208],"athletes.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
