Constant position of position 6 with varying grasped loads.
<p>The gesture classification accuracies from training and testing at various grasped loads under a constant position of position 6.</p> <p>(TIF)</p>
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2025
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| _version_ | 1852021377125580800 |
|---|---|
| author | Peyton R. Young (14021643) |
| author2 | Kihun Hong (21072471) Eden J. Winslow (21072474) Giancarlo K. Sagastume (21072477) Marcus A. Battraw (14021640) Richard S. Whittle (21072480) Jonathon S. Schofield (4062958) |
| author2_role | author author author author author author |
| author_facet | Peyton R. Young (14021643) Kihun Hong (21072471) Eden J. Winslow (21072474) Giancarlo K. Sagastume (21072477) Marcus A. Battraw (14021640) Richard S. Whittle (21072480) Jonathon S. Schofield (4062958) |
| author_role | author |
| dc.creator.none.fl_str_mv | Peyton R. Young (14021643) Kihun Hong (21072471) Eden J. Winslow (21072474) Giancarlo K. Sagastume (21072477) Marcus A. Battraw (14021640) Richard S. Whittle (21072480) Jonathon S. Schofield (4062958) |
| dc.date.none.fl_str_mv | 2025-04-10T20:02:09Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0321319.s014 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Constant_position_of_position_6_with_varying_grasped_loads_/28773852 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Physiology Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified skin &# 8217 pattern recognition algorithms misclassification errors caused many modern technologies identify specific patterns bodied participants performed axial forces present augmented reality systems assistive mechatronic devices predict hand gestures 4 hand gestures muscle electrical activity 34 %) followed 3 sensing modalities statistically significant effects object loading effects highest classification accuracy grasped load combinations effective device control combination </ p grasped load hand gesture sensing modality muscle contraction device commands 27 %) gesture classification classification performance well established vital aspects underlying muscles technique suffers surface created research applications release task manipulated objects limb movements fused combination force myography daily life 84 %). 8 positions 27 able |
| dc.title.none.fl_str_mv | Constant position of position 6 with varying grasped loads. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>The gesture classification accuracies from training and testing at various grasped loads under a constant position of position 6.</p> <p>(TIF)</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_2ad1989b69c8aebb015077ecc3e6b8cd |
| identifier_str_mv | 10.1371/journal.pone.0321319.s014 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28773852 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Constant position of position 6 with varying grasped loads.Peyton R. Young (14021643)Kihun Hong (21072471)Eden J. Winslow (21072474)Giancarlo K. Sagastume (21072477)Marcus A. Battraw (14021640)Richard S. Whittle (21072480)Jonathon S. Schofield (4062958)PhysiologyBiotechnologyScience PolicySpace ScienceBiological Sciences not elsewhere classifiedskin &# 8217pattern recognition algorithmsmisclassification errors causedmany modern technologiesidentify specific patternsbodied participants performedaxial forces presentaugmented reality systemsassistive mechatronic devicespredict hand gestures4 hand gesturesmuscle electrical activity34 %) followed3 sensing modalitiesstatistically significant effectsobject loading effectshighest classification accuracygrasped load combinationseffective device controlcombination </ pgrasped loadhand gesturesensing modalitymuscle contractiondevice commands27 %)gesture classificationclassification performancewell establishedvital aspectsunderlying musclestechnique sufferssurface createdresearch applicationsrelease taskmanipulated objectslimb movementsfused combinationforce myographydaily life84 %).8 positions27 able<p>The gesture classification accuracies from training and testing at various grasped loads under a constant position of position 6.</p> <p>(TIF)</p>2025-04-10T20:02:09ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pone.0321319.s014https://figshare.com/articles/figure/Constant_position_of_position_6_with_varying_grasped_loads_/28773852CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/287738522025-04-10T20:02:09Z |
| spellingShingle | Constant position of position 6 with varying grasped loads. Peyton R. Young (14021643) Physiology Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified skin &# 8217 pattern recognition algorithms misclassification errors caused many modern technologies identify specific patterns bodied participants performed axial forces present augmented reality systems assistive mechatronic devices predict hand gestures 4 hand gestures muscle electrical activity 34 %) followed 3 sensing modalities statistically significant effects object loading effects highest classification accuracy grasped load combinations effective device control combination </ p grasped load hand gesture sensing modality muscle contraction device commands 27 %) gesture classification classification performance well established vital aspects underlying muscles technique suffers surface created research applications release task manipulated objects limb movements fused combination force myography daily life 84 %). 8 positions 27 able |
| status_str | publishedVersion |
| title | Constant position of position 6 with varying grasped loads. |
| title_full | Constant position of position 6 with varying grasped loads. |
| title_fullStr | Constant position of position 6 with varying grasped loads. |
| title_full_unstemmed | Constant position of position 6 with varying grasped loads. |
| title_short | Constant position of position 6 with varying grasped loads. |
| title_sort | Constant position of position 6 with varying grasped loads. |
| topic | Physiology Biotechnology Science Policy Space Science Biological Sciences not elsewhere classified skin &# 8217 pattern recognition algorithms misclassification errors caused many modern technologies identify specific patterns bodied participants performed axial forces present augmented reality systems assistive mechatronic devices predict hand gestures 4 hand gestures muscle electrical activity 34 %) followed 3 sensing modalities statistically significant effects object loading effects highest classification accuracy grasped load combinations effective device control combination </ p grasped load hand gesture sensing modality muscle contraction device commands 27 %) gesture classification classification performance well established vital aspects underlying muscles technique suffers surface created research applications release task manipulated objects limb movements fused combination force myography daily life 84 %). 8 positions 27 able |