USER-CONTROLLED TUNING OF HANDSTATE REPRESENTATION MODEL PARAMETERS

Methods and apparatus for enabling a user or third-party to select or adjust parameters of one or more statistical models used to generate a musculoskeletal representation. The method comprises providing as input to the statistical model(s), a plurality of neuromuscular signals recorded by a plurali...

Full description

Saved in:
Bibliographic Details
Main Authors Kaifosh, Patrick, Berenzweig, Adam, Al-natsheh, Adam
Format Patent
LanguageEnglish
Published 16.04.2020
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Methods and apparatus for enabling a user or third-party to select or adjust parameters of one or more statistical models used to generate a musculoskeletal representation. The method comprises providing as input to the statistical model(s), a plurality of neuromuscular signals recorded by a plurality of neuromuscular sensors during performance of at least one gesture by a user, wherein the at least one gesture is performed by the user while wearing a wearable device having the plurality of neuromuscular sensors arranged thereon, rendering at least one visual representation based on an output of the statistical model(s), and receiving user or third-party input to adjust parameters of the statistical model(s) based on the rendered at least one visual representation, the user input including a selection of a particular statistical model of the statistical model(s) and/or an adjustment of parameters associated with the particular statistical model.
AbstractList Methods and apparatus for enabling a user or third-party to select or adjust parameters of one or more statistical models used to generate a musculoskeletal representation. The method comprises providing as input to the statistical model(s), a plurality of neuromuscular signals recorded by a plurality of neuromuscular sensors during performance of at least one gesture by a user, wherein the at least one gesture is performed by the user while wearing a wearable device having the plurality of neuromuscular sensors arranged thereon, rendering at least one visual representation based on an output of the statistical model(s), and receiving user or third-party input to adjust parameters of the statistical model(s) based on the rendered at least one visual representation, the user input including a selection of a particular statistical model of the statistical model(s) and/or an adjustment of parameters associated with the particular statistical model.
Author Kaifosh, Patrick
Berenzweig, Adam
Al-natsheh, Adam
Author_xml – fullname: Kaifosh, Patrick
– fullname: Berenzweig, Adam
– fullname: Al-natsheh, Adam
BookMark eNrjYmDJy89L5WRwDg12DdJ19vcLCfL38XF1UQgJ9fP0c1fwd1PwcPRzCQ5xDHFVCHINCHINdvUDcjz9_RR8_V1cfRQCHIMcfV1DXIOCeRhY0xJzilN5oTQ3g7Kba4izh25qQX58anFBYnJqXmpJfGiwkYGRgaGhhbGpgaOhMXGqADCCLog
ContentType Patent
DBID EVB
DatabaseName esp@cenet
DatabaseTitleList
Database_xml – sequence: 1
  dbid: EVB
  name: esp@cenet
  url: http://worldwide.espacenet.com/singleLineSearch?locale=en_EP
  sourceTypes: Open Access Repository
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Chemistry
Sciences
Physics
ExternalDocumentID US2020118350A1
GroupedDBID EVB
ID FETCH-epo_espacenet_US2020118350A13
IEDL.DBID EVB
IngestDate Fri Jul 19 14:49:54 EDT 2024
IsOpenAccess true
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-epo_espacenet_US2020118350A13
Notes Application Number: US201916657029
OpenAccessLink https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200416&DB=EPODOC&CC=US&NR=2020118350A1
ParticipantIDs epo_espacenet_US2020118350A1
PublicationCentury 2000
PublicationDate 20200416
PublicationDateYYYYMMDD 2020-04-16
PublicationDate_xml – month: 04
  year: 2020
  text: 20200416
  day: 16
PublicationDecade 2020
PublicationYear 2020
RelatedCompanies CTRL-labs Corporation
RelatedCompanies_xml – name: CTRL-labs Corporation
Score 3.260578
Snippet Methods and apparatus for enabling a user or third-party to select or adjust parameters of one or more statistical models used to generate a musculoskeletal...
SourceID epo
SourceType Open Access Repository
SubjectTerms CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
Title USER-CONTROLLED TUNING OF HANDSTATE REPRESENTATION MODEL PARAMETERS
URI https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200416&DB=EPODOC&locale=&CC=US&NR=2020118350A1
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3dS8MwED_G_HzTqUydElD6Vtxsmm0PQ7o0dcjajjaVvY21a0GQbriK_76XsOme9pgEjuTCL_eVuwN4tNMuQz3fNjPWtkyU19RMrV5m0qxL-_PimaW6S4QfsFFC36b2tAaf21wYXSf0RxdHRERliPdKv9erfyeWq_9Wrp_SD5xavnhy4Bob61hdeYcZ7nAgJqEbcoPzQRIbQaTXUJe27LaDttIBKtJdhQfxPlR5KatdoeKdweEE6ZXVOdTysgEnfNt7rQHH_ibk3YAj_UczW-PkBofrC-BJLCKTh4GMwvFYuESiHRe8ktAjIydwY-lIQSKh2CsCqd1QxA9dMSYTJ3J8gTpsfAkPnpB8ZOK-Zn9smCXx7iGsK6iXyzJvAllQWzWybRf9Qr17rKeyafM5CvJFQYucXkNrH6Wb_cu3cKqGKoLSYS2oV1_f-R0K4iq91_z7BSQrhB4
link.rule.ids 230,309,783,888,25576,76876
linkProvider European Patent Office
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfR3LTsJAcELwgTdFjQ_UTTS9NQJ9AAdiSru1arsl7dZwI7S0iYkpRGr8fWc3oJy47iST3dnM-wXwYKQ9E-18Q83MtqaivtbVVOtnqp719MGs6Jqp3BIRMNNL9NeJManB56YXRs4J_ZHDEZGjMuT3Ssrr5X8Qy5G1lavH9AOPFk8uHzrK2jsWX94xFWc0pOPQCW3FtodJrLBIwtCW1oy2hb7SHhrZPcEP9H0k-lKW20rFPYb9MeIrqxOo5WUTGvZm91oTDoN1yrsJB7JGM1vh4ZoPV6dgJzGNVDtkPAp9nzqEox_HnknoEs9iTswtTklEBXkp4zIMRYLQoT4ZW5EVULRh4zO4dym3PRXvNf0jwzSJtx-hnUO9XJT5BZC5bohFtu1iUAi5Z_ZFN20-Q0U-L_Qi1y-htQvT1W7wHTQ8HvhT_4W9XcORAIlsSsdsQb36-s5vUClX6a2k5S-Cx4cR
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Apatent&rft.title=USER-CONTROLLED+TUNING+OF+HANDSTATE+REPRESENTATION+MODEL+PARAMETERS&rft.inventor=Kaifosh%2C+Patrick&rft.inventor=Berenzweig%2C+Adam&rft.inventor=Al-natsheh%2C+Adam&rft.date=2020-04-16&rft.externalDBID=A1&rft.externalDocID=US2020118350A1